Open Technical Problems in Open-Weight AI Model Risk Management.

Yoshua Bengio University of Montréal, Department of Computer Science and Operations Research, QC, Canada Turing Award https://mila.quebec/en/yoshua-bengio/ http://www.iro.umontreal.ca/~bengioy/yoshua_en/ https://scholar.google.com/citations?user=kukA0LcAAAAJ https://openreview.net/profile?id=~Yoshua_Bengio1 https://dl.acm.org/profile/81100287057 https://zbmath.org/authors/?q=ai:bengio.yoshua https://mathscinet.ams.org/mathscinet/MRAuthorID/736209 https://mathgenealogy.org/id.php?id=73102 https://en.wikipedia.org/wiki/Yoshua_Bengio https://orcid.org/0000-0002-9322-3515 https://www.wikidata.org/entity/Q3572699 http://isni.org/isni/0000000073978908 https://id.loc.gov/authorities/names/nr96012906 https://d-nb.info/gnd/1126443166 https://amturing.acm.org/award_winners/bengio_3406375.cfm

Stephen Casper Kyle O'Brien Shayne Longpre Elizabeth Seger Kevin Klyman Rishi Bommasani Aniruddha Nrusimha Ilia Shumailov Sören Mindermann Steven Basart Frank Rudzicz Kellin Pelrine Avijit Ghosh Andrew Strait Robert Kirk Dan Hendrycks Peter Henderson 0002 J. Zico Kolter Geoffrey Irving Yarin Gal Yoshua Bengio Dylan Hadfield-Menell Open Technical Problems in Open-Weight AI Model Risk Management. 2026 2026 Trans. Mach. Learn. Res. https://openreview.net/forum?id=8QyGLnFkzc db/journals/tmlr/tmlr2026.html#CasperOLSKBNSMBRPGSKHHK26 streams/journals/tmlr

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Chang Chen Hany Hamed Doojin Baek Taegu Kang Samyeul Noh Yoshua Bengio Sungjin Ahn Extendable Planning via Multiscale Diffusion. 19996-20004 2026 AAAI https://doi.org/10.1609/aaai.v40i24.39084 conf/aaai/2026 db/conf/aaai/aaai2026.html#ChenHBKNBA26 Walter Senn Marcello Sanguineti Ausra Saudargiene Igor V. Tetko Alessandro E. P. Villa Viktor K. Jirsa Yoshua Bengio Artificial Neural Networks and Machine Learning - ICANN 2025 - 34th International Conference on Artificial Neural Networks, Kaunas, Lithuania, September 9-12, 2025, Proceedings, Part I ICANN (1) Springer 2026 Lecture Notes in Computer Science 16068 978-3-032-04557-7 978-3-032-04558-4 https://doi.org/10.1007/978-3-032-04558-4 db/conf/icann/icann2025-1.html Walter Senn Marcello Sanguineti Ausra Saudargiene Igor V. Tetko Alessandro E. P. Villa Viktor K. Jirsa Yoshua Bengio Artificial Neural Networks and Machine Learning - ICANN 2025 - 34th International Conference on Artificial Neural Networks, Kaunas, Lithuania, September 9-12, 2025, Proceedings, Part II ICANN (2) Springer 2026 Lecture Notes in Computer Science 16069 978-3-032-04545-4 978-3-032-04546-1 https://doi.org/10.1007/978-3-032-04546-1 db/conf/icann/icann2025-2.html Walter Senn Marcello Sanguineti Ausra Saudargiene Igor V. Tetko Alessandro E. P. Villa Viktor K. Jirsa Yoshua Bengio Artificial Neural Networks and Machine Learning - ICANN 2025 - 34th International Conference on Artificial Neural Networks, Kaunas, Lithuania, September 9-12, 2025, Proceedings, Part III ICANN (3) Springer 2026 Lecture Notes in Computer Science 16070 978-3-032-04548-5 978-3-032-04549-2 https://doi.org/10.1007/978-3-032-04549-2 db/conf/icann/icann2025-3.html Walter Senn Marcello Sanguineti Ausra Saudargiene Igor V. Tetko Alessandro E. P. Villa Viktor K. Jirsa Yoshua Bengio Artificial Neural Networks and Machine Learning - ICANN 2025 - 34th International Conference on Artificial Neural Networks, Kaunas, Lithuania, September 9-12, 2025, Proceedings, Part IV ICANN (4) Springer 2026 Lecture Notes in Computer Science 16071 978-3-032-04554-6 978-3-032-04555-3 https://doi.org/10.1007/978-3-032-04555-3 db/conf/icann/icann2025-4.html Walter Senn Marcello Sanguineti Ausra Saudargiene Igor V. Tetko Alessandro E. P. Villa Viktor K. Jirsa Yoshua Bengio Artificial Neural Networks and Machine Learning. ICANN 2025 International Workshops and Special Sessions - 34th International Conference on Artificial Neural Networks, Kaunas, Lithuania, September 9-12, 2025, Proceedings, Part V ICANN (5) Springer 2026 Lecture Notes in Computer Science 16072 978-3-032-04551-5 978-3-032-04552-2 https://doi.org/10.1007/978-3-032-04552-2 db/conf/icann/icann2025-5.html

Lucia Velasco Charles Martinet Henry de Zoete Robert Trager Duncan Snidal Ben Garfinkel Kwan Yee Ng Haydn Belfield Don Wallace Yoshua Bengio Benjamin Prud'homme Brian Tse Roxana Radu Ranjit Lall Ben Harack Julia Morse Nicolas Miailhe Scott Singer Matt Sheehan Max Stauffer Yi Zeng 0005 Joslyn Barnhart Imane Bello Lan Xue Oliver Guest Duncan Cass-Beggs Lu Chuanying Sumaya Nur Adan Markus Anderljung Claire Dennis The Future of the AI Summit Series. 2026 January abs/2601.02383 CoRR https://doi.org/10.48550/arXiv.2601.02383 db/journals/corr/corr2601.html#abs-2601-02383 streams/journals/corr

Anaïs Berkes Vincent Taboga Donna Vakalis David Rolnick Yoshua Bengio In-Context Reinforcement Learning through Bayesian Fusion of Context and Value Prior. 2026 January abs/2601.03015 CoRR https://doi.org/10.48550/arXiv.2601.03015 db/journals/corr/corr2601.html#abs-2601-03015 streams/journals/corr

Mohsin Hasan Viktor Ohanesian Artem Gazizov Yoshua Bengio Alán Aspuru-Guzik Roberto Bondesan Marta Skreta Kirill Neklyudov Discrete Feynman-Kac Correctors. 2026 January abs/2601.10403 CoRR https://doi.org/10.48550/arXiv.2601.10403 db/journals/corr/corr2601.html#abs-2601-10403 streams/journals/corr

Miles Brundage Noemi Dreksler Aidan Homewood Sean McGregor Patricia Paskov Conrad Stosz Girish Sastry A. Feder Cooper George Balston Steven Adler Stephen Casper Markus Anderljung Grace W. Lindsay Sören Mindermann Vasilios Mavroudis Ben Bucknall Charlotte Stix Jonas Freund Lorenzo Pacchiardi José Hernández-Orallo Matteo Pistillo Michael Chen Chris Painter Dean W. Ball Cullen O'Keefe Gabriel Weil Ben Harack Graeme Finley Ryan Hassan Scott Emmons Charles Foster Anka Reuel Bri Treece Yoshua Bengio Daniel Reti Rishi Bommasani Cristian Trout Ali Shahin Shamsabadi Rajiv Dattani Adrian Weller Robert Trager Jaime Sevilla Lauren Wagner Lisa Soder Ketan Ramakrishnan Henry Papadatos Malcolm Murray Ryan Tovcimak Frontier AI Auditing: Toward Rigorous Third-Party Assessment of Safety and Security Practices at Leading AI Companies. 2026 January abs/2601.11699 CoRR https://doi.org/10.48550/arXiv.2601.11699 db/journals/corr/corr2601.html#abs-2601-11699 streams/journals/corr

Hyeonah Kim Minsu Kim 0004 Celine Roget Dionessa Biton Louis Vaillancourt Yves V. Brun Yoshua Bengio Alex Hernández-García Synthesizable Molecular Generation via Soft-constrained GFlowNets with Rich Chemical Priors. 2026 February abs/2602.04119 CoRR https://doi.org/10.48550/arXiv.2602.04119 db/journals/corr/corr2602.html#abs-2602-04119 streams/journals/corr

Jaylen Jones Zhehao Zhang Yuting Ning Eric Fosler-Lussier Pierre-Luc St-Charles Yoshua Bengio Dawn Song Yu Su 0001 Huan Sun 0001 When Benign Inputs Lead to Severe Harms: Eliciting Unsafe Unintended Behaviors of Computer-Use Agents. 2026 February abs/2602.08235 CoRR https://doi.org/10.48550/arXiv.2602.08235 db/journals/corr/corr2602.html#abs-2602-08235 streams/journals/corr

Yoshua Bengio Stephen Clare Carina Prunkl Maksym Andriushchenko Ben Bucknall Malcolm Murray Rishi Bommasani Stephen Casper Tom Davidson Raymond Douglas David Duvenaud Philip Fox Usman Gohar Rose Hadshar Anson Ho Tiancheng Hu Cameron Jones Sayash Kapoor Atoosa Kasirzadeh Sam Manning Nestor Maslej Vasilios Mavroudis Conor McGlynn Richard Moulange Jessica Newman Kwan Yee Ng Patricia Paskov Shalaleh Rismani Girish Sastry Elizabeth Seger Scott Singer Charlotte Stix Lucia Velasco Nicole Wheeler International AI Safety Report 2026. 2026 February abs/2602.21012 CoRR https://doi.org/10.48550/arXiv.2602.21012 db/journals/corr/corr2602.html#abs-2602-21012 streams/journals/corr

Thomas Jiralerspong Flemming Kondrup Yoshua Bengio Noticing the Watcher: LLM Agents Can Infer CoT Monitoring from Blocking Feedback. 2026 March abs/2603.16928 CoRR https://doi.org/10.48550/arXiv.2603.16928 db/journals/corr/corr2603.html#abs-2603-16928 streams/journals/corr

Donghang Wu Tianyu Zhang Yuxin Li Hexin Liu Chen Chen 0075 Eng Siong Chng Yoshua Bengio The Silent Thought: Modeling Internal Cognition in Full-Duplex Spoken Dialogue Models via Latent Reasoning. 2026 March abs/2603.17837 CoRR https://doi.org/10.48550/arXiv.2603.17837 db/journals/corr/corr2603.html#abs-2603-17837 streams/journals/corr

Jarrid Rector-Brooks Théophile Lambert Marta Skreta Daniel Roth 0005 Yueming Long Zi-Qi Li Xi Zhang Miruna T. Cretu Francesca-Zhoufan Li Tanvi Ganapathy Emily Jin Avishek Joey Bose Jason Yang Kirill Neklyudov Yoshua Bengio Alexander Tong 0001 Frances H. Arnold Cheng-Hao Liu General Multimodal Protein Design Enables DNA-Encoding of Chemistry. 2026 April abs/2604.05181 CoRR https://doi.org/10.48550/arXiv.2604.05181 db/journals/corr/corr2604.html#abs-2604-05181 streams/journals/corr

Oliver E. Richardson Mandana Samiei Mehran Shakerinava Joseph D. Viviano Abdessamad El Kabid Ali Parviz Yoshua Bengio Local Inconsistency Resolution: The Interplay between Attention and Control in Probabilistic Models. 2026 April abs/2604.17140 CoRR https://doi.org/10.48550/arXiv.2604.17140 db/journals/corr/corr2604.html#abs-2604-17140 streams/journals/corr

Damiano Fornasiere Mirko Bronzi Spencer Kitts Alessandro Palmas Yoshua Bengio Oliver Richardson Language models recognize dropout and Gaussian noise applied to their activations. 2026 April abs/2604.17465 CoRR https://doi.org/10.48550/arXiv.2604.17465 db/journals/corr/corr2604.html#abs-2604-17465 streams/journals/corr

Chung-Hsiang Lo Lu Li Diji Yang Tianyu Zhang Yunkai Zhang 0002 Yoshua Bengio Yi Zhang 0001 When 2D Tasks Meet 1D Serialization: On Serialization Friction in Structured Tasks. 2026 April abs/2604.27272 CoRR https://doi.org/10.48550/arXiv.2604.27272 db/journals/corr/corr2604.html#abs-2604-27272 streams/journals/corr

Junyeob Baek Mingyu Jo Minsu Kim 0004 Mengye Ren Yoshua Bengio Sungjin Ahn Generative Recursive Reasoning. 2026 May abs/2605.19376 CoRR https://doi.org/10.48550/arXiv.2605.19376 db/journals/corr/corr2605.html#abs-2605-19376 streams/journals/corr

Jama Hussein Mohamud Mohsin Hasan Mirco Ravanelli Yoshua Bengio Adaptive Order Policies for Masked Diffusion. 2026 June abs/2606.00295 CoRR https://doi.org/10.48550/arXiv.2606.00295 db/journals/corr/corr2606.html#abs-2606-00295 streams/journals/corr

Joachim Schaeffer Thomas Jiralerspong Alexander Panfilov Guillaume Lajoie Jonas Geiping Yoshua Bengio Roland S. Zimmermann CIAware-Bench: Benchmarking Control Intervention Awareness Across Frontier LLMs. 2026 June abs/2606.11063 CoRR https://doi.org/10.48550/arXiv.2606.11063 db/journals/corr/corr2606.html#abs-2606-11063 streams/journals/corr

Anka Reuel Benjamin Bucknall Stephen Casper Timothy Fist Lisa Soder Onni Aarne Lewis Hammond Lujain Ibrahim Alan Chan Peter Wills Markus Anderljung Ben Garfinkel Lennart Heim Andrew Trask Gabriel Mukobi Rylan Schaeffer Mauricio Baker Sara Hooker Irene Solaiman Sasha Luccioni Nitarshan Rajkumar Nicolas Moës Jeffrey Ladish David Bau Paul Bricman Neel Guha Jessica Newman Yoshua Bengio Tobin South Alex Pentland Sanmi Koyejo Mykel J. Kochenderfer Robert Trager Open Problems in Technical AI Governance. 2025 2025 Trans. Mach. Learn. Res. https://openreview.net/forum?id=1nO4qFMiS0 db/journals/tmlr/tmlr2025.html#ReuelBCFSAHICWA25

Vedant Shah Frederik Träuble Ashish Malik Hugo Larochelle Michael Curtis Mozer Sanjeev Arora Yoshua Bengio Anirudh Goyal Low Compute Unlearning via Sparse Representations. 2025 2025 Trans. Mach. Learn. Res. https://openreview.net/forum?id=GyKXzmk43s db/journals/tmlr/tmlr2025.html#ShahTMLMABG25 streams/journals/tmlr

Jin Hwa Lee Thomas Jiralerspong Lei Yu Yoshua Bengio Emily Cheng Geometric Signatures of Compositionality Across a Language Model's Lifetime. 5292-5320 2025 ACL (1) https://doi.org/10.18653/v1/2025.acl-long.265 https://aclanthology.org/2025.acl-long.265/ conf/acl/2025-1 db/conf/acl/acl2025-1.html#LeeJYBC25 Minsu Kim 0004 Sanghyeok Choi Hyeonah Kim Jiwoo Son Jinkyoo Park Yoshua Bengio Ant Colony Sampling with GFlowNets for Combinatorial Optimization. 469-477 2025 AISTATS https://proceedings.mlr.press/v258/kim25a.html conf/aistats/2025 db/conf/aistats/aistats2025.html#KimCKSPB25 streams/conf/aistats Anaïs Berkes Yoshua Bengio David Rolnick Donna Vakalis A HOT Dataset: 150, 000 Buildings for HVAC Operations Transfer Research. 171-180 2025 BuildSys https://doi.org/10.1145/3736425.3770110 conf/buildsys/2025 db/conf/buildsys/buildsys2025.html#BerkesBRV25 Minsu Kim 0004 Sanghyeok Choi Taeyoung Yun Emmanuel Bengio Leo Feng Jarrid Rector-Brooks Sungsoo Ahn Jinkyoo Park Nikolay Malkin Yoshua Bengio Adaptive teachers for amortized samplers. 2025 ICLR https://openreview.net/forum?id=BdmVgLMvaf conf/iclr/2025 db/conf/iclr/iclr2025.html#0004CYBFRAPMB25 Lazar Atanackovic Xi Zhang Brandon Amos Mathieu Blanchette Leo J. 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Viviano Michal Koziarski Moksh Jain Nikolay Malkin Emmanuel Bengio Rim Assouel Yoshua Bengio Action abstractions for amortized sampling. 2025 ICLR https://openreview.net/forum?id=ispjankYab conf/iclr/2025 db/conf/iclr/iclr2025.html#BoussifEVKJMBAB25 Aniket Rajiv Didolkar Andrii Zadaianchuk Anirudh Goyal Michael Curtis Mozer Yoshua Bengio Georg Martius Maximilian Seitzer On the Transfer of Object-Centric Representation Learning. 2025 ICLR https://openreview.net/forum?id=bSq0XGS3kW conf/iclr/2025 db/conf/iclr/iclr2025.html#DidolkarZGMBMS25 Hongyu Guo Yoshua Bengio Shengchao Liu AssembleFlow: Rigid Flow Matching with Inertial Frames for Molecular Assembly. 2025 ICLR https://openreview.net/forum?id=jckKNzYYA6 conf/iclr/2025 db/conf/iclr/iclr2025.html#GuoBL25 Seanie Lee Minsu Kim 0004 Lynn Cherif David Dobre Juho Lee 0001 Sung Ju Hwang Kenji Kawaguchi Gauthier Gidel Yoshua Bengio Nikolay Malkin Moksh Jain Learning Diverse Attacks on Large Language Models for Robust Red-Teaming and Safety Tuning. 2025 ICLR https://openreview.net/forum?id=1mXufFuv95 conf/iclr/2025 db/conf/iclr/iclr2025.html#LeeKCD0HKGBMJ25 Seanie Lee Haebin Seong Dong Bok Lee Minki Kang Xiaoyin Chen Dominik Wagner 0002 Yoshua Bengio Juho Lee 0001 Sung Ju Hwang HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models. 2025 ICLR https://openreview.net/forum?id=y3zswp3gek conf/iclr/2025 db/conf/iclr/iclr2025.html#LeeSLKC0B0H25 Lu Li Tianyu Zhang Zhiqi Bu Suyuchen Wang Huan He Jie Fu 0001 Yonghui Wu 0001 Jiang Bian 0002 Yong Chen 0016 Yoshua Bengio MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation. 2025 ICLR https://openreview.net/forum?id=1v7SRWsYve conf/iclr/2025 db/conf/iclr/iclr2025.html#LiZBWHFWBCB25 Zhen Liu 0019 Tim Z. Xiao Weiyang Liu Yoshua Bengio Dinghuai Zhang Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets. 2025 ICLR https://openreview.net/forum?id=Aye5wL6TCn conf/iclr/2025 db/conf/iclr/iclr2025.html#LiuXLBZ25 Jiarui Lu Xiaoyin Chen Stephen Zhewen Lu Chence Shi Hongyu Guo Yoshua Bengio Jian Tang 0005 Structure Language Models for Protein Conformation Generation. 2025 ICLR https://openreview.net/forum?id=OzUNDnpQyd conf/iclr/2025 db/conf/iclr/iclr2025.html#LuCLSGB025 Kanika Madan Alex Lamb Emmanuel Bengio Glen Berseth Yoshua Bengio Towards Improving Exploration through Sibling Augmented GFlowNets. 2025 ICLR https://openreview.net/forum?id=HH4KWP8RP5 conf/iclr/2025 db/conf/iclr/iclr2025.html#MadanLBBB25 Tianyu Zhang Suyuchen Wang Lu Li Ge Zhang 0009 Perouz Taslakian Sai Rajeswar Jie Fu 0001 Bang Liu 0003 Yoshua Bengio VCR: A Task for Pixel-Level Complex Reasoning in Vision Language Models via Restoring Occluded Text. 2025 ICLR https://openreview.net/forum?id=s0Z4csHOoE conf/iclr/2025 db/conf/iclr/iclr2025.html#ZhangWLZTRFLB25 Harry Zhao 0001 Tristan Sylvain Romain Laroche Doina Precup Yoshua Bengio Rejecting Hallucinated State Targets during Planning. 2025 ICML https://proceedings.mlr.press/v267/zhao25t.html https://openreview.net/forum?id=40gBawg6LX conf/icml/2025 db/conf/icml/icml2025.html#0001SLPB25 Eric Elmoznino Thomas Jiralerspong Yoshua Bengio Guillaume Lajoie Towards a Formal Theory of Representational Compositionality. 2025 ICML https://proceedings.mlr.press/v267/elmoznino25a.html https://openreview.net/forum?id=fXCfT7ErvL conf/icml/2025 db/conf/icml/icml2025.html#ElmozninoJBL25 Siddarth Venkatraman Mohsin Hasan Minsu Kim 0004 Luca Scimeca Marcin Sendera Yoshua Bengio Glen Berseth Nikolay Malkin Outsourced Diffusion Sampling: Efficient Posterior Inference in Latent Spaces of Generative Models. 2025 ICML https://proceedings.mlr.press/v267/venkatraman25a.html https://openreview.net/forum?id=94c9hu6Fsv conf/icml/2025 db/conf/icml/icml2025.html#VenkatramanH0SS25 Jaesik Yoon Hyeonseo Cho Doojin Baek Yoshua Bengio Sungjin Ahn Monte Carlo Tree Diffusion for System 2 Planning. 2025 ICML https://proceedings.mlr.press/v267/yoon25a.html https://openreview.net/forum?id=XrCbBdycDc conf/icml/2025 db/conf/icml/icml2025.html#YoonCBBA25 Tianyu Zhang Andrew Robert Williams Phillip Wozny Kai-Hendrik Cohrs Koen Ponse Marco Jiralerspong Soham R. Phade Sunil Srinivasa Lu Li Yang Zhang Prateek Gupta Erman Acar Irina Rish Yoshua Bengio Stephan Zheng AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N. 2025 ICML https://proceedings.mlr.press/v267/zhang25ce.html https://openreview.net/forum?id=PX29zF9wRb conf/icml/2025 db/conf/icml/icml2025.html#ZhangWWCPJPSLZG25 Brian R. Bartoldson Siddarth Venkatraman James Diffenderfer Moksh Jain Tal Ben-Nun Seanie Lee Minsu Kim 0004 Johan S. Obando-Ceron Yoshua Bengio Bhavya Kailkhura Trajectory Balance with Asynchrony: Decoupling Exploration and Learning for Fast, Scalable LLM Post-Training. 2025 NeurIPS http://papers.nips.cc/paper_files/paper/2025/hash/a58e6bd468ae63efd8c95035ea55ee41-Abstract-Conference.html conf/nips/2025 db/conf/nips/neurips2025.html#BartoldsonVDJBL25 Ahmed Masry Juan A. Rodríguez Tianyu Zhang Suyuchen Wang Chao Wang Aarash Feizi Akshay Kalkunte Suresh Abhay Puri Xiangru Jian Pierre-André Noël Sathwik Tejaswi Madhusudhan Marco Pedersoli Bang Liu 0003 Nicolas Chapados Yoshua Bengio Enamul Hoque Chris Pal Issam Hadj Laradji David Vázquez 0001 Perouz Taslakian Spandana Gella Sai Rajeswar Mudumba AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Document Understanding. 2025 NeurIPS http://papers.nips.cc/paper_files/paper/2025/hash/d695f1d2b37df1310f3b9d2bbc7e0a2f-Abstract-Conference.html conf/nips/2025 db/conf/nips/neurips2025.html#MasryRZWWFSPJNM25 Jaesik Yoon Hyeonseo Cho Yoshua Bengio Sungjin Ahn Fast Monte Carlo Tree Diffusion: 100× Speedup via Parallel and Sparse Planning. 2025 NeurIPS http://papers.nips.cc/paper_files/paper/2025/hash/96c3a1ed92c0822d543462a2b7f097f2-Abstract-Conference.html conf/nips/2025 db/conf/nips/neurips2025.html#YoonCBA25 Yoshua Bengio Michael K. Cohen Nikolay Malkin Matt MacDermott Damiano Fornasiere Pietro Greiner Younesse Kaddar Can a Bayesian Oracle Prevent Harm from an Agent? 257-270 2025 UAI https://proceedings.mlr.press/v286/bengio25a.html conf/uai/2025 db/conf/uai/uai2025.html#BengioCMMFGK25 streams/conf/uai Michael K. Cohen Marcus Hutter Yoshua Bengio Stuart Russell 0001 RL, but don't do anything I wouldn't do. 821-836 2025 UAI https://proceedings.mlr.press/v286/cohen25a.html conf/uai/2025 db/conf/uai/uai2025.html#CohenHBR25 streams/conf/uai Diego A. Velázquez Pau Rodríguez López Sergio Alonso Josep M. Gonfaus Jordi Gonzàlez 0001 Gerardo Richarte Javier Marín Yoshua Bengio Alexandre Lacoste EarthView: A Large Scale Remote Sensing Dataset for Self-Supervision. 1138-1147 2025 WACV (Workshops) https://doi.org/10.1109/WACVW65960.2025.00136 conf/wacv/2025w db/conf/wacv/wacv2025w.html#VelazquezLAG0RM25

Diego A. Velázquez Pau Rodríguez López Sergio Alonso Josep M. Gonfaus Jordi Gonzàlez 0001 Gerardo Richarte Javier Marín Yoshua Bengio Alexandre Lacoste EarthView: A Large Scale Remote Sensing Dataset for Self-Supervision. 2025 January abs/2501.08111 CoRR https://doi.org/10.48550/arXiv.2501.08111 db/journals/corr/corr2501.html#abs-2501-08111 streams/journals/corr

David Williams-King Linh Le Adam Oberman Yoshua Bengio Can Safety Fine-Tuning Be More Principled? Lessons Learned from Cybersecurity. 2025 January abs/2501.11183 CoRR https://doi.org/10.48550/arXiv.2501.11183 db/journals/corr/corr2501.html#abs-2501-11183 streams/journals/corr

Yoshua Bengio Sören Mindermann Daniel Privitera Tamay Besiroglu Rishi Bommasani Stephen Casper Yejin Choi 0001 Philip Fox Ben Garfinkel Danielle Goldfarb Hoda Heidari Anson Ho Sayash Kapoor Leila Khalatbari Shayne Longpre Sam Manning Vasilios Mavroudis Mantas Mazeika Julian Michael Jessica Newman Kwan Yee Ng Chinasa T. Okolo Inioluwa Deborah Raji Girish Sastry Elizabeth Seger Theodora Skeadas Tobin South Emma Strubell Florian Tramèr Lucia Velasco Nicole Wheeler Daron Acemoglu Olubayo Adekanmbi David Dalrymple Thomas G. Dietterich Edward W. Felten Pascale Fung Pierre-Olivier Gourinchas Fredrik Heintz Geoffrey E. Hinton Nick R. Jennings Andreas Krause 0001 Susan Leavy Percy Liang Teresa Ludermir Vidushi Marda Helen Z. Margetts John A. McDermid Jane Munga Arvind Narayanan Alondra Nelson Clara Neppel Alice Oh Gopal Ramchurn Stuart Russell 0001 Marietje Schaake Bernhard Schölkopf Dawn Song Alvaro Soto Lee Tiedrich Gaël Varoquaux Andrew Yao Ya-Qin Zhang Fahad Albalawi Marwan Alserkal Olubunmi Ajala Guillaume Avrin Christian Busch André Carlos Ponce de Leon Ferreira de Carvalho Bronwyn Fox Amandeep Singh Gill Ahmet Halit Hatip Juha Heikkilä Gill Jolly Ziv Katzir Hiroaki Kitano Antonio Krüger Chris Johnson Saif M. Khan Kyoung Mu Lee Dominic Vincent Ligot Oleksii Molchanovskyi Andrea Monti Nusu Mwamanzi Mona Nemer Nuria Oliver José Ramón López Portillo Balaraman Ravindran Raquel Pezoa Rivera Hammam Riza Crystal Rugege Ciarán Seoighe Jerry Sheehan Haroon Sheikh Denise Wong Yi Zeng 0005 International AI Safety Report. 2025 January abs/2501.17805 CoRR https://doi.org/10.48550/arXiv.2501.17805 db/journals/corr/corr2501.html#abs-2501-17805 streams/journals/corr

Ahmed Masry Juan A. Rodríguez Tianyu Zhang Suyuchen Wang Chao Wang Aarash Feizi Akshay Kalkunte Suresh Abhay Puri Xiangru Jian Pierre-André Noël Sathwik Tejaswi Madhusudhan Marco Pedersoli Bang Liu 0003 Nicolas Chapados Yoshua Bengio Enamul Hoque Christopher Pal Issam H. Laradji David Vázquez 0001 Perouz Taslakian Spandana Gella Sai Rajeswar AlignVLM: Bridging Vision and Language Latent Spaces for Multimodal Understanding. 2025 February abs/2502.01341 CoRR https://doi.org/10.48550/arXiv.2502.01341 db/journals/corr/corr2502.html#abs-2502-01341 streams/journals/corr

Ivan Grega Félix Therrien Abhishek Soni Karry Ocean Kevan Dettelbach Ribwar Ahmadi Mehrdad Mokhtari Curtis P. Berlinguette Yoshua Bengio A physics-based data-driven model for CO<sub>2</sub> gas diffusion electrodes to drive automated laboratories. 2025 February abs/2502.06323 CoRR https://doi.org/10.48550/arXiv.2502.06323 db/journals/corr/corr2502.html#abs-2502-06323 streams/journals/corr

Siddarth Venkatraman Mohsin Hasan Minsu Kim 0004 Luca Scimeca Marcin Sendera Yoshua Bengio Glen Berseth Nikolay Malkin Outsourced diffusion sampling: Efficient posterior inference in latent spaces of generative models. 2025 February abs/2502.06999 CoRR https://doi.org/10.48550/arXiv.2502.06999 db/journals/corr/corr2502.html#abs-2502-06999 streams/journals/corr

Jaesik Yoon Hyeonseo Cho Doojin Baek Yoshua Bengio Sungjin Ahn Monte Carlo Tree Diffusion for System 2 Planning. 2025 February abs/2502.07202 CoRR https://doi.org/10.48550/arXiv.2502.07202 db/journals/corr/corr2502.html#abs-2502-07202 streams/journals/corr

Thomas Jiralerspong Berton Earnshaw Jason S. Hartford Yoshua Bengio Luca Scimeca Shaping Inductive Bias in Diffusion Models through Frequency-Based Noise Control. 2025 February abs/2502.10236 CoRR https://doi.org/10.48550/arXiv.2502.10236 db/journals/corr/corr2502.html#abs-2502-10236 streams/journals/corr

Sarthak Mittal Yoshua Bengio Nikolay Malkin Guillaume Lajoie In-Context Parametric Inference: Point or Distribution Estimators? 2025 February abs/2502.11617 CoRR https://doi.org/10.48550/arXiv.2502.11617 db/journals/corr/corr2502.html#abs-2502-11617 streams/journals/corr

Félix Therrien Jamal Abou Haibeh Divya Sharma Rhiannon Hendley Alex Hernández-García Sun Sun Alain Tchagang Jiang Su Samuel Huberman Yoshua Bengio Hongyu Guo Homin Shin OBELiX: A Curated Dataset of Crystal Structures and Experimentally Measured Ionic Conductivities for Lithium Solid-State Electrolytes. 2025 February abs/2502.14234 CoRR https://doi.org/10.48550/arXiv.2502.14234 db/journals/corr/corr2502.html#abs-2502-14234 streams/journals/corr

Yoshua Bengio Michael K. Cohen Damiano Fornasiere Joumana Ghosn Pietro Greiner Matt MacDermott Sören Mindermann Adam Oberman Jesse Richardson Oliver Richardson Marc-Antoine Rondeau Pierre-Luc St-Charles David Williams-King Superintelligent Agents Pose Catastrophic Risks: Can Scientist AI Offer a Safer Path? 2025 February abs/2502.15657 CoRR https://doi.org/10.48550/arXiv.2502.15657 db/journals/corr/corr2502.html#abs-2502-15657 streams/journals/corr

Mohammed Mahfoud Ghait Boukachab Michal Koziarski Alex Hernández-García Stefan Bauer Yoshua Bengio Nikolay Malkin Learning Decision Trees as Amortized Structure Inference. 2025 March abs/2503.06985 CoRR https://doi.org/10.48550/arXiv.2503.06985 db/journals/corr/corr2503.html#abs-2503-06985 streams/journals/corr

Luca Scimeca Siddarth Venkatraman Moksh Jain Minsu Kim 0004 Marcin Sendera Mohsin Hasan Luke Rowe Sarthak Mittal Pablo Lemos Emmanuel Bengio Alexandre Adam Jarrid Rector-Brooks Yashar Hezaveh Laurence Perreault Levasseur Yoshua Bengio Glen Berseth Nikolay Malkin Solving Bayesian inverse problems with diffusion priors and off-policy RL. 2025 March abs/2503.09746 CoRR https://doi.org/10.48550/arXiv.2503.09746 db/journals/corr/corr2503.html#abs-2503-09746 streams/journals/corr

Minsu Kim 0004 Jiayao Gu Ye Yuan 0017 Taeyoung Yun Zixuan Liu 0001 Yoshua Bengio Can Chen 0005 Offline Model-Based Optimization: Comprehensive Review. 2025 March abs/2503.17286 CoRR https://doi.org/10.48550/arXiv.2503.17286 db/journals/corr/corr2503.html#abs-2503-17286 streams/journals/corr

Brian R. Bartoldson Siddarth Venkatraman James Diffenderfer Moksh Jain Tal Ben-Nun Seanie Lee Minsu Kim 0004 Johan S. Obando-Ceron Yoshua Bengio Bhavya Kailkhura Trajectory Balance with Asynchrony: Decoupling Exploration and Learning for Fast, Scalable LLM Post-Training. 2025 March abs/2503.18929 CoRR https://doi.org/10.48550/arXiv.2503.18929 db/journals/corr/corr2503.html#abs-2503-18929 streams/journals/corr

Paul Bertin Joseph D. Viviano Alejandro Tejada-Lapuerta Weixu Wang Stefan Bauer Fabian J. Theis Yoshua Bengio A scalable gene network model of regulatory dynamics in single cells. 2025 March abs/2503.20027 CoRR https://doi.org/10.48550/arXiv.2503.20027 db/journals/corr/corr2503.html#abs-2503-20027 streams/journals/corr

Chang Chen Hany Hamed Doojin Baek Taegu Kang Yoshua Bengio Sungjin Ahn Extendable Long-Horizon Planning via Hierarchical Multiscale Diffusion. 2025 March abs/2503.20102 CoRR https://doi.org/10.48550/arXiv.2503.20102 db/journals/corr/corr2503.html#abs-2503-20102 streams/journals/corr

Mélisande Teng Arthur Ouaknine Etienne Laliberté Yoshua Bengio David Rolnick Hugo Larochelle Assessing SAM for Tree Crown Instance Segmentation from Drone Imagery. 2025 March abs/2503.20199 CoRR https://doi.org/10.48550/arXiv.2503.20199 db/journals/corr/corr2503.html#abs-2503-20199 streams/journals/corr

Ben Bucknall Saad Siddiqui Lara Thurnherr Conor McGurk Ben Harack Anka Reuel Patricia Paskov Casey Mahoney Sören Mindermann Scott Singer Vinay Hiremath Charbel-Raphaël Ségerie Oscar Delaney Alessandro Abate Fazl Barez Michael K. Cohen Philip Torr 0001 Ferenc Huszár Anisoara Calinescu Gabriel Davis Jones Yoshua Bengio Robert Trager In Which Areas of Technical AI Safety Could Geopolitical Rivals Cooperate? 2025 April abs/2504.12914 CoRR https://doi.org/10.48550/arXiv.2504.12914 db/journals/corr/corr2504.html#abs-2504-12914 streams/journals/corr

Minsu Kim 0004 Jean-Pierre R. Falet Oliver E. Richardson Xiaoyin Chen Moksh Jain Sungjin Ahn Sungsoo Ahn Yoshua Bengio Search-Based Correction of Reasoning Chains for Language Models. 2025 May abs/2505.11824 CoRR https://doi.org/10.48550/arXiv.2505.11824 db/journals/corr/corr2505.html#abs-2505-11824 streams/journals/corr

Gyubin Lee Truong Nhat Nguyen Bao Jaesik Yoon Dongwoo Lee Minsu Kim 0004 Yoshua Bengio Sungjin Ahn Adaptive Cyclic Diffusion for Inference Scaling. 2025 May abs/2505.14036 CoRR https://doi.org/10.48550/arXiv.2505.14036 db/journals/corr/corr2505.html#abs-2505-14036 streams/journals/corr

Xiaoyin Chen Jiarui Lu Minsu Kim 0004 Dinghuai Zhang Jian Tang 0005 Alexandre Piché Nicolas Gontier Yoshua Bengio Ehsan Kamalloo Self-Evolving Curriculum for LLM Reasoning. 2025 May abs/2505.14970 CoRR https://doi.org/10.48550/arXiv.2505.14970 db/journals/corr/corr2505.html#abs-2505-14970 streams/journals/corr

Can Chen 0005 David Heurtel-Depeiges Robert M. Vernon Christopher James Langmead Yoshua Bengio Quentin Fournier Structure-Aligned Protein Language Model. 2025 May abs/2505.16896 CoRR https://doi.org/10.48550/arXiv.2505.16896 db/journals/corr/corr2505.html#abs-2505-16896 streams/journals/corr

Danyal Rehman Oscar Davis Jiarui Lu Jian Tang 0005 Michael M. Bronstein Yoshua Bengio Alexander Tong 0001 Avishek Joey Bose FORT: Forward-Only Regression Training of Normalizing Flows. 2025 June abs/2506.01158 CoRR https://doi.org/10.48550/arXiv.2506.01158 db/journals/corr/corr2506.html#abs-2506-01158 streams/journals/corr

Mélisande Teng Arthur Ouaknine Etienne Laliberté Yoshua Bengio David Rolnick Hugo Larochelle Bringing SAM to new heights: Leveraging elevation data for tree crown segmentation from drone imagery. 2025 June abs/2506.04970 CoRR https://doi.org/10.48550/arXiv.2506.04970 db/journals/corr/corr2506.html#abs-2506-04970 streams/journals/corr

Jaesik Yoon Hyeonseo Cho Yoshua Bengio Sungjin Ahn Fast Monte Carlo Tree Diffusion: 100x Speedup via Parallel Sparse Planning. 2025 June abs/2506.09498 CoRR https://doi.org/10.48550/arXiv.2506.09498 db/journals/corr/corr2506.html#abs-2506-09498 streams/journals/corr

Yoshua Bengio Tegan Maharaj Luke Ong Stuart Russell 0001 Dawn Song Max Tegmark Lan Xue Ya-Qin Zhang Stephen Casper Wan Sie Lee Sören Mindermann Vanessa Wilfred Vidhisha Balachandran Fazl Barez Michael Belinsky Imane Bello Malo Bourgon Mark Brakel Siméon Campos Duncan Cass-Beggs Jiahao Chen Rumman Chowdhury Kuan Chua Seah Jeff Clune Juntao Dai Agnès Delaborde Nouha Dziri Francisco Eiras Joshua Engels Jinyu Fan Adam Gleave Noah Goodman Fynn Heide Johannes Heidecke Dan Hendrycks Cyrus Hodes Bryan Low Kian Hsiang Minlie Huang Sami Jawhar Wang Jingyu Adam Tauman Kalai Meindert Kamphuis Mohan S. Kankanhalli Subhash Kantamneni Mathias Bonde Kirk Thomas Kwa Jeffrey Ladish Kwok-Yan Lam Wan Lee Sie Taewhi Lee Xiaojian Li Jiajun Liu Chaochao Lu Yifan Mai 0001 Richard Mallah Julian Michael Nick Moës Simon Möller Kihyuk Nam Kwan Yee Ng Mark Nitzberg Besmira Nushi Seán Ó hÉigeartaigh Alejandro Ortega Pierre Peigné James Petrie Benjamin Prud'homme Reihaneh Rabbany Nayat Sánchez-Pi Sarah Schwettmann Buck Shlegeris Saad Siddiqui Aradhana Sinha Martín Soto Cheston Tan Dong Ting William-Chandra Tjhi Robert Trager Brian Tse Anthony Tung K. H. John Willes Denise Wong Wei Xu Rongwu Xu Yi Zeng 0005 HongJiang Zhang Djordje Zikelic The Singapore Consensus on Global AI Safety Research Priorities. 2025 June abs/2506.20702 CoRR https://doi.org/10.48550/arXiv.2506.20702 db/journals/corr/corr2506.html#abs-2506-20702 streams/journals/corr

Tomek Korbak Mikita Balesni Elizabeth Barnes Yoshua Bengio Joe Benton Joseph Bloom Mark Chen 0003 Alan Cooney Allan Dafoe Anca D. Dragan Scott Emmons Owain Evans David Farhi Ryan Greenblatt Dan Hendrycks Marius Hobbhahn Evan Hubinger Geoffrey Irving Erik Jenner Daniel Kokotajlo Victoria Krakovna Shane Legg David Lindner David Luan Aleksander Madry Julian Michael Neel Nanda Dave Orr Jakub Pachocki Ethan Perez Mary Phuong Fabien Roger Joshua Saxe Buck Shlegeris Martín Soto Eric Steinberger Jasmine Wang Wojciech Zaremba Bowen Baker Rohin Shah Vladimir Mikulik Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety. 2025 July abs/2507.11473 CoRR https://doi.org/10.48550/arXiv.2507.11473 db/journals/corr/corr2507.html#abs-2507-11473 streams/journals/corr

Alexandra Volokhova Léna Néhale Ezzine Piotr Gainski Luca Scimeca Emmanuel Bengio Prudencio Tossou Yoshua Bengio Alex Hernández-García Torsional-GFN: a conditional conformation generator for small molecules. 2025 July abs/2507.11759 CoRR https://doi.org/10.48550/arXiv.2507.11759 db/journals/corr/corr2507.html#abs-2507-11759 streams/journals/corr

Shengchao Liu Hannan Xu Yan Ai Huanxin Li Yoshua Bengio Harry Guo Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization. 2025 July abs/2507.16110 CoRR https://doi.org/10.48550/arXiv.2507.16110 db/journals/corr/corr2507.html#abs-2507-16110 streams/journals/corr

Tristan Deleu Padideh Nouri Yoshua Bengio Doina Precup Relative Trajectory Balance is equivalent to Trust-PCL. 2025 September abs/2509.01632 CoRR https://doi.org/10.48550/arXiv.2509.01632 db/journals/corr/corr2509.html#abs-2509-01632 streams/journals/corr

Taeyoung Yun Pierre-Luc St-Charles Jinkyoo Park Yoshua Bengio Minsu Kim 0004 Active Attacks: Red-teaming LLMs via Adaptive Environments. 2025 September abs/2509.21947 CoRR https://doi.org/10.48550/arXiv.2509.21947 db/journals/corr/corr2509.html#abs-2509-21947 streams/journals/corr

Siddarth Venkatraman Vineet Jain Sarthak Mittal Vedant Shah Johan S. Obando-Ceron Yoshua Bengio Brian R. Bartoldson Bhavya Kailkhura Guillaume Lajoie Glen Berseth Nikolay Malkin Moksh Jain Recursive Self-Aggregation Unlocks Deep Thinking in Large Language Models. 2025 September abs/2509.26626 CoRR https://doi.org/10.48550/arXiv.2509.26626 db/journals/corr/corr2509.html#abs-2509-26626 streams/journals/corr

Lena Podina Christina Humer Alexandre Duval Victor Schmidt Ali Ramlaoui Shahana Chatterjee Yoshua Bengio Alex Hernández-García David Rolnick Félix Therrien Catalyst GFlowNet for electrocatalyst design: A hydrogen evolution reaction case study. 2025 October abs/2510.02142 CoRR https://doi.org/10.48550/arXiv.2510.02142 db/journals/corr/corr2510.html#abs-2510-02142 streams/journals/corr

Luca Scimeca Thomas Jiralerspong Berton Earnshaw Jason S. Hartford Yoshua Bengio Learning What Matters: Steering Diffusion via Spectrally Anisotropic Forward Noise. 2025 October abs/2510.09660 CoRR https://doi.org/10.48550/arXiv.2510.09660 db/journals/corr/corr2510.html#abs-2510-09660 streams/journals/corr

Tianyu Zhang Suyuchen Wang Chao Wang Juan A. Rodríguez Ahmed Masry Xiangru Jian Yoshua Bengio Perouz Taslakian Scope: Selective Cross-modal Orchestration of Visual Perception Experts. 2025 October abs/2510.12974 CoRR https://doi.org/10.48550/arXiv.2510.12974 db/journals/corr/corr2510.html#abs-2510-12974 streams/journals/corr

Yoshua Bengio Stephen Clare Carina Prunkl Shalaleh Rismani Maksym Andriushchenko Ben Bucknall Philip Fox Tiancheng Hu Cameron Jones Sam Manning Nestor Maslej Vasilios Mavroudis Conor McGlynn Malcolm Murray Charlotte Stix Lucia Velasco Nicole Wheeler Daniel Privitera Sören Mindermann Daron Acemoglu Thomas G. Dietterich Fredrik Heintz Geoffrey E. Hinton Nicholas R. Jennings Susan Leavy Teresa Ludermir Vidushi Marda Helen Z. Margetts John A. McDermid Jane Munga Arvind Narayanan Alondra Nelson Clara Neppel Gopal Ramchurn Stuart Russell 0001 Marietje Schaake Bernhard Schölkopf Alavaro Soto Lee Tiedrich Gaël Varoquaux Andrew Yao Yan-Ning Zhang 0001 Leandro Aguirre Olubunmi Ajala Fahad Albalawi Noora AlMalek Christian Busch André C. P. L. F. de Carvalho Jonathan Collas Amandeep Gill Ahmet Halit Hatip Juha Heikkilä Chris Johnson Gill Jolly Ziv Katzir Mary Kerema Hiroaki Kitano Antonio Krüger Aoife McLysaght Oleksii Molchanovskyi Andrea Monti Kyoung Mu Lee Mona Nemer Nuria Oliver Raquel Pezoa Rivera Audrey Plonk José Ramón López Portillo Balaraman Ravindran Hammam Riza Crystal Rugege Haroon Sheikh Denise Wong Yi Zeng 0005 Liming Zhu International AI Safety Report 2025: First Key Update: Capabilities and Risk Implications. 2025 October abs/2510.13653 CoRR https://doi.org/10.48550/arXiv.2510.13653 db/journals/corr/corr2510.html#abs-2510-13653 streams/journals/corr

Dan Hendrycks Dawn Song Christian Szegedy Honglak Lee Yarin Gal Erik Brynjolfsson Sharon Li 0001 Andy Zou Lionel Levine Bo Han 0003 Jie Fu 0001 Ziwei Liu 0002 Jinwoo Shin Kimin Lee Mantas Mazeika Long Phan George Ingebretsen Adam Khoja Cihang Xie Olawale Salaudeen Matthias Hein 0001 Kevin Zhao Alexander Pan David Duvenaud Bo Li 0026 Steve Omohundro Gabriel Alfour Max Tegmark Kevin McGrew Gary Marcus 0001 Jaan Tallinn Eric Schmidt Yoshua Bengio A Definition of AGI. 2025 October abs/2510.18212 CoRR https://doi.org/10.48550/arXiv.2510.18212 db/journals/corr/corr2510.html#abs-2510-18212 streams/journals/corr

Ramón Dineth Nartallo-Kaluarachchi Robert Manson-Sawko Shashanka Ubaru Dongsung Huh Malgorzata J. Zimon Lior Horesh Yoshua Bengio Surrogate-based quantification of policy uncertainty in generative flow networks. 2025 October abs/2510.21523 CoRR https://doi.org/10.48550/arXiv.2510.21523 db/journals/corr/corr2510.html#abs-2510-21523 streams/journals/corr

Rui-Jie Zhu 0003 Zixuan Wang Kai Hua Tianyu Zhang Ziniu Li Haoran Que Boyi Wei Zixin Wen Fan Yin He Xing Lu Li Jiajun Shi Kaijing Ma Shanda Li Taylor Kergan Andrew Smith Xingwei Qu Mude Hui Bohong Wu Qiyang Min Hongzhi Huang Xun Zhou Wei Ye 0004 Jiaheng Liu Jian Yang 0037 Yunfeng Shi Chenghua Lin 0002 Enduo Zhao Tianle Cai Ge Zhang 0009 Wenhao Huang 0001 Yoshua Bengio Jason Eshraghian Scaling Latent Reasoning via Looped Language Models. 2025 October abs/2510.25741 CoRR https://doi.org/10.48550/arXiv.2510.25741 db/journals/corr/corr2510.html#abs-2510-25741 streams/journals/corr

Yoshua Bengio Stephen Clare Carina Prunkl Maksym Andriushchenko Ben Bucknall Philip Fox Nestor Maslej Conor McGlynn Malcolm Murray Shalaleh Rismani Stephen Casper Jessica Newman Daniel Privitera Sören Mindermann Daron Acemoglu Thomas G. Dietterich Fredrik Heintz Geoffrey E. Hinton Nick R. Jennings Susan Leavy Teresa Ludermir Vidushi Marda Helen Z. Margetts John A. McDermid Jane Munga Arvind Narayanan Alondra Nelson Clara Neppel Gopal Ramchurn Stuart Russell 0001 Marietje Schaake Bernhard Schölkopf Alavaro Soto Lee Tiedrich Gaël Varoquaux Andrew Yao Yanning Zhang 0001 Leandro Aguirre Olubunmi Ajala Fahad Albalawi Noora AlMalek Noora AlMalek Christian Busch André Carvalho Jonathan Collas Amandeep Gill Ahmet Halit Hatip Juha Heikkilä Chris Johnson Gill Jolly Ziv Katzir Mary Kerema Hiroaki Kitano Antonio Krüger Aoife McLysaght Oleksii Molchanovskyi Andrea Monti Kyoung Mu Lee Mona Nemer Nuria Oliver Raquel Pezoa Audrey Plonk José Ramón López Portillo Balaraman Ravindran Hammam Riza Crystal Rugege Haroon Sheikh Denise Wong Yi Zeng 0005 Liming Zhu International AI Safety Report 2025: Second Key Update: Technical Safeguards and Risk Management. 2025 November abs/2511.19863 CoRR https://doi.org/10.48550/arXiv.2511.19863 db/journals/corr/corr2511.html#abs-2511-19863 streams/journals/corr

Danyal Rehman Tara Akhound-Sadegh Artem Gazizov Yoshua Bengio Alexander Tong 0001 FALCON: Few-step Accurate Likelihoods for Continuous Flows. 2025 December abs/2512.09914 CoRR https://doi.org/10.48550/arXiv.2512.09914 db/journals/corr/corr2512.html#abs-2512-09914 streams/journals/corr

Dragos Secrieru Garyk Brixi Yoshua Bengio Taiji Suzuki Michael Poli Stefano Massaroli Sliding Window Recurrences for Sequence Models. 2025 December abs/2512.13921 CoRR https://doi.org/10.48550/arXiv.2512.13921 db/journals/corr/corr2512.html#abs-2512-13921 streams/journals/corr

Vedant Shah Johan S. Obando-Ceron Vineet Jain Brian R. Bartoldson Bhavya Kailkhura Sarthak Mittal Glen Berseth Pablo Samuel Castro Yoshua Bengio Nikolay Malkin Moksh Jain Siddarth Venkatraman Aaron C. Courville A Comedy of Estimators: On KL Regularization in RL Training of LLMs. 2025 December abs/2512.21852 CoRR https://doi.org/10.48550/arXiv.2512.21852 db/journals/corr/corr2512.html#abs-2512-21852 streams/journals/corr

Alistair Knott Dino Pedreschi Toshiya Jitsuzumi Susan Leavy David M. Eyers Tapabrata Chakraborti Andrew Trotman Sundar Sundareswaran Ricardo Baeza-Yates Przemyslaw Biecek Adrian Weller Paul D. Teal Subhadip Basu Mehmet Haklidir Virginia Morini Stuart Russell 0001 Yoshua Bengio AI content detection in the emerging information ecosystem: new obligations for media and tech companies. 63 2024 December 26 Ethics Inf. Technol. 4 https://doi.org/10.1007/s10676-024-09795-1 https://www.wikidata.org/entity/Q135255970 db/journals/ethicsit/ethicsit26.html#KnottPJLECTSBBWTBHMRB24 streams/journals/ethicsit

Alistair Knott Dino Pedreschi Toshiya Jitsuzumi Susan Leavy David M. Eyers Tapabrata Chakraborti Andrew Trotman Sundar Sundareswaran Ricardo Baeza-Yates Przemyslaw Biecek Adrian Weller Paul D. Teal Subhadip Basu Mehmet Haklidir Virginia Morini Stuart Russell 0001 Yoshua Bengio Correction: AI content detection in the emerging information ecosystem: new obligations for media and tech companies. 71 2024 December 26 Ethics Inf. Technol. 4 https://doi.org/10.1007/s10676-024-09808-z https://www.wikidata.org/entity/Q135256004 db/journals/ethicsit/ethicsit26.html#KnottPJLECTSBBWTBHMRB24a streams/journals/ethicsit

Alexandre Duval Victor Schmidt Santiago Miret Yoshua Bengio Alex Hernández-García David Rolnick PhAST: Physics-Aware, Scalable, and Task-Specific GNNs for Accelerated Catalyst Design. 106:1-106:26 2024 25 J. Mach. Learn. Res. https://jmlr.org/papers/v25/23-0680.html db/journals/jmlr/jmlr25.html#DuvalSMBHR24

Alexander Tong 0001 Kilian Fatras Nikolay Malkin Guillaume Huguet Yanlei Zhang Jarrid Rector-Brooks Guy Wolf Yoshua Bengio Improving and generalizing flow-based generative models with minibatch optimal transport. 2024 2024 Trans. Mach. Learn. Res. https://openreview.net/forum?id=CD9Snc73AW db/journals/tmlr/tmlr2024.html#0001FMHZRWB24

Usman Anwar Abulhair Saparov Javier Rando Daniel Paleka Miles Turpin Peter Hase Ekdeep Singh Lubana Erik Jenner Stephen Casper Oliver Sourbut Benjamin L. Edelman Zhaowei Zhang 0001 Mario Günther Anton Korinek José Hernández-Orallo Lewis Hammond Eric J. Bigelow Alexander Pan Lauro Langosco Tomasz Korbak Heidi Chenyu Zhang Ruiqi Zhong Seán Ó hÉigeartaigh Gabriel Recchia Giulio Corsi Alan Chan Markus Anderljung Lilian Edwards Aleksandar Petrov Christian Schröder de Witt Sumeet Ramesh Motwani Yoshua Bengio Danqi Chen 0001 Philip Torr 0001 Samuel Albanie Tegan Maharaj Jakob Nicolaus Foerster Florian Tramèr He He 0001 Atoosa Kasirzadeh Yejin Choi 0001 David Krueger 0001 Foundational Challenges in Assuring Alignment and Safety of Large Language Models. 2024 2024 Trans. Mach. Learn. Res. https://openreview.net/forum?id=oVTkOs8Pka db/journals/tmlr/tmlr2024.html#AnwarSRPTHLJCSE24

Alex Hernández-García Nikita Saxena Moksh Jain Cheng-Hao Liu Yoshua Bengio Multi-Fidelity Active Learning with GFlowNets. 2024 2024 Trans. Mach. Learn. Res. https://openreview.net/forum?id=dLaazW9zuF db/journals/tmlr/tmlr2024.html#Hernandez-Garcia24

Dinghuai Zhang Ling Pan Ricky T. Q. Chen Aaron C. Courville Yoshua Bengio Distributional GFlowNets with Quantile Flows. 2024 2024 Trans. Mach. Learn. Res. https://openreview.net/forum?id=vFSsRYGpjW db/journals/tmlr/tmlr2024.html#ZhangPCCB24

Xu Tan 0003 Tao Qin 0001 Jiang Bian 0002 Tie-Yan Liu Yoshua Bengio Regeneration Learning: A Learning Paradigm for Data Generation. 22614-22622 2024 AAAI https://doi.org/10.1609/aaai.v38i20.30271 conf/aaai/2024 db/conf/aaai/aaai2024.html#000300LB24 Alexander Tong 0001 Nikolay Malkin Kilian Fatras Lazar Atanackovic Yanlei Zhang Guillaume Huguet Guy Wolf Yoshua Bengio Simulation-Free Schrödinger Bridges via Score and Flow Matching. 1279-1287 2024 AISTATS https://proceedings.mlr.press/v238/y-tong24a.html conf/aistats/2024 db/conf/aistats/aistats2024.html#0001MFAZHWB24 Harry Zhao 0001 Safa Alver Harm van Seijen Romain Laroche Doina Precup Yoshua Bengio Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning. 2024 ICLR https://openreview.net/forum?id=eo9dHwtTFt conf/iclr/2024 db/conf/iclr/iclr2024.html#0001ASLPB24 Aniket Rajiv Didolkar Anirudh Goyal Yoshua Bengio Cycle Consistency Driven Object Discovery. 2024 ICLR https://openreview.net/forum?id=f1xnBr4WD6 conf/iclr/2024 db/conf/iclr/iclr2024.html#DidolkarGB24 Jean-Pierre R. 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Hu Moksh Jain Eric Elmoznino Younesse Kaddar Guillaume Lajoie Yoshua Bengio Nikolay Malkin Amortizing intractable inference in large language models. 2024 ICLR https://openreview.net/forum?id=Ouj6p4ca60 conf/iclr/2024 db/conf/iclr/iclr2024.html#HuJEKLBM24 Marco Jiralerspong Bilun Sun Danilo Vucetic Tianyu Zhang Yoshua Bengio Gauthier Gidel Nikolay Malkin Expected flow networks in stochastic environments and two-player zero-sum games. 2024 ICLR https://openreview.net/forum?id=uH0FGECSEI conf/iclr/2024 db/conf/iclr/iclr2024.html#JiralerspongSVZ24 Minsu Kim 0004 Taeyoung Yun Emmanuel Bengio Dinghuai Zhang Yoshua Bengio Sungsoo Ahn Jinkyoo Park Local Search GFlowNets. 2024 ICLR https://openreview.net/forum?id=6cFcw1Rxww conf/iclr/2024 db/conf/iclr/iclr2024.html#KimYBZBAP24 Amin Mansouri Jason S. Hartford Yan Zhang 0067 Yoshua Bengio Object centric architectures enable efficient causal representation learning. 2024 ICLR https://openreview.net/forum?id=r9FsiXZxZt conf/iclr/2024 db/conf/iclr/iclr2024.html#MansouriHZB24 Ling Pan Moksh Jain Kanika Madan Yoshua Bengio Pre-Training and Fine-Tuning Generative Flow Networks. 2024 ICLR https://openreview.net/forum?id=ylhiMfpqkm conf/iclr/2024 db/conf/iclr/iclr2024.html#PanJMB24 Dinghuai Zhang Ricky T. Q. Chen Cheng-Hao Liu Aaron C. Courville Yoshua Bengio Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization. 2024 ICLR https://openreview.net/forum?id=OIsahq1UYC conf/iclr/2024 db/conf/iclr/iclr2024.html#ZhangCLCB24 Ming-Yang Zhou Zichao Yan Elliot Layne Nikolay Malkin Dinghuai Zhang Moksh Jain Mathieu Blanchette Yoshua Bengio PhyloGFN: Phylogenetic inference with generative flow networks. 2024 ICLR https://openreview.net/forum?id=hB7SlfEmze conf/iclr/2024 db/conf/iclr/iclr2024.html#ZhouYLMZJBB24 Tara Akhound-Sadegh Jarrid Rector-Brooks Avishek Joey Bose Sarthak Mittal Pablo Lemos Cheng-Hao Liu Marcin Sendera Siamak Ravanbakhsh Gauthier Gidel Yoshua Bengio Nikolay Malkin Alexander Tong 0001 Iterated Denoising Energy Matching for Sampling from Boltzmann Densities. 2024 ICML https://proceedings.mlr.press/v235/akhound-sadegh24a.html https://openreview.net/forum?id=gVjMwLDFoQ conf/icml/2024 db/conf/icml/icml2024.html#Akhound-SadeghR24 760-786 Leo Feng Frederick Tung Hossein Hajimirsadeghi Yoshua Bengio Mohamed Osama Ahmed Memory Efficient Neural Processes via Constant Memory Attention Block. 2024 ICML https://proceedings.mlr.press/v235/feng24i.html https://openreview.net/forum?id=xtwCf7iAs2 conf/icml/2024 db/conf/icml/icml2024.html#FengTHBA24 13365-13386 Minsu Kim 0004 Joohwan Ko Taeyoung Yun Dinghuai Zhang Ling Pan Woochang Kim Jinkyoo Park Emmanuel Bengio Yoshua Bengio Learning to Scale Logits for Temperature-Conditional GFlowNets. 2024 ICML https://proceedings.mlr.press/v235/kim24s.html https://openreview.net/forum?id=GUEsK9xJny conf/icml/2024 db/conf/icml/icml2024.html#KimKYZPKPBB24 24248-24270 Pablo Lemos Nikolay Malkin Will Handley Yoshua Bengio Yashar Hezaveh Laurence Perreault Levasseur Improving Gradient-Guided Nested Sampling for Posterior Inference. 2024 ICML https://proceedings.mlr.press/v235/lemos24a.html https://openreview.net/forum?id=K5h6VAsJaV conf/icml/2024 db/conf/icml/icml2024.html#LemosMHBHL24 27230-27253 Milos Nikolic 0002 Ghouthi Boukli Hacene Ciaran Bannon Alberto Delmas Lascorz Matthieu Courbariaux Omar Mohamed Awad Isak Edo Vivancos Yoshua Bengio Vincent Gripon Andreas Moshovos BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization. 1-5 2024 ISCAS https://doi.org/10.1109/ISCAS58744.2024.10558100 conf/iscas/2024 db/conf/iscas/iscas2024.html#0002HBLCAVBGM24 Aniket Didolkar Anirudh Goyal Nan Rosemary Ke Siyuan Guo 0003 Michal Valko Timothy P. Lillicrap Danilo Jimenez Rezende Yoshua Bengio Michael C. Mozer Sanjeev Arora Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving. 2024 NeurIPS http://papers.nips.cc/paper_files/paper/2024/hash/2318d75a06437eaa257737a5cf3ab83c-Abstract-Conference.html conf/nips/2024 db/conf/nips/neurips2024.html#DidolkarGKGVLRB24 Michal Koziarski Andrei Rekesh Dmytro Shevchuk Almer van der Sloot Piotr Gainski Yoshua Bengio Cheng-Hao Liu Mike Tyers Robert A. Batey RGFN: Synthesizable Molecular Generation Using GFlowNets. 2024 NeurIPS http://papers.nips.cc/paper_files/paper/2024/hash/53704142f230054140418ecd8857f391-Abstract-Conference.html conf/nips/2024 db/conf/nips/neurips2024.html#KoziarskiRSSGBL24 Marcin Sendera Minsu Kim 0004 Sarthak Mittal Pablo Lemos Luca Scimeca Jarrid Rector-Brooks Alexandre Adam Yoshua Bengio Nikolay Malkin Improved off-policy training of diffusion samplers. 2024 NeurIPS http://papers.nips.cc/paper_files/paper/2024/hash/93c936b9e492def9c00782cab79dbc6d-Abstract-Conference.html conf/nips/2024 db/conf/nips/neurips2024.html#SenderaKMLSRABM24 Siddarth Venkatraman Moksh Jain Luca Scimeca Minsu Kim 0004 Marcin Sendera Mohsin Hasan Luke Rowe Sarthak Mittal Pablo Lemos Emmanuel Bengio Alexandre Adam Jarrid Rector-Brooks Yoshua Bengio Glen Berseth Nikolay Malkin Amortizing intractable inference in diffusion models for vision, language, and control. 2024 NeurIPS http://papers.nips.cc/paper_files/paper/2024/hash/8b21a7ea42cbcd1c29a7a88c444cce45-Abstract-Conference.html conf/nips/2024 db/conf/nips/neurips2024.html#VenkatramanJSKS24 Xi Zhang Yuan Pu 0002 Yuki Kawamura Andrew Loza Yoshua Bengio Dennis L. Shung Alexander Tong 0001 Trajectory Flow Matching with Applications to Clinical Time Series Modelling. 2024 NeurIPS http://papers.nips.cc/paper_files/paper/2024/hash/c1e67cde895c3c91edb43569ad0df260-Abstract-Conference.html conf/nips/2024 db/conf/nips/neurips2024.html#ZhangPKLBS024 Tristan Deleu Padideh Nouri Nikolay Malkin Doina Precup Yoshua Bengio Discrete Probabilistic Inference as Control in Multi-path Environments. 997-1021 2024 UAI https://proceedings.mlr.press/v244/deleu24a.html conf/uai/2024 db/conf/uai/uai2024.html#DeleuNMPB24

Thomas Jiralerspong Xiaoyin Chen Yash More Vedant Shah Yoshua Bengio Efficient Causal Graph Discovery Using Large Language Models. 2024 abs/2402.01207 CoRR https://doi.org/10.48550/arXiv.2402.01207 db/journals/corr/corr2402.html#abs-2402-01207

Marcin Sendera Minsu Kim 0004 Sarthak Mittal Pablo Lemos Luca Scimeca Jarrid Rector-Brooks Alexandre Adam Yoshua Bengio Nikolay Malkin On diffusion models for amortized inference: Benchmarking and improving stochastic control and sampling. 2024 abs/2402.05098 CoRR https://doi.org/10.48550/arXiv.2402.05098 db/journals/corr/corr2402.html#abs-2402-05098

Tara Akhound-Sadegh Jarrid Rector-Brooks Avishek Joey Bose Sarthak Mittal Pablo Lemos Cheng-Hao Liu Marcin Sendera Siamak Ravanbakhsh Gauthier Gidel Yoshua Bengio Nikolay Malkin Alexander Tong 0001 Iterated Denoising Energy Matching for Sampling from Boltzmann Densities. 2024 abs/2402.06121 CoRR https://doi.org/10.48550/arXiv.2402.06121 db/journals/corr/corr2402.html#abs-2402-06121

Girish Sastry Lennart Heim Haydn Belfield Markus Anderljung Miles Brundage Julian Hazell Cullen O'Keefe Gillian K. Hadfield Richard Ngo Konstantin Pilz George Gor Emma Bluemke Sarah Shoker Janet Egan Robert F. Trager Shahar Avin Adrian Weller Yoshua Bengio Diane Coyle Computing Power and the Governance of Artificial Intelligence. 2024 abs/2402.08797 CoRR https://doi.org/10.48550/arXiv.2402.08797 https://www.wikidata.org/entity/Q124718944 db/journals/corr/corr2402.html#abs-2402-08797

Tristan Deleu Padideh Nouri Nikolay Malkin Doina Precup Yoshua Bengio Discrete Probabilistic Inference as Control in Multi-path Environments. 2024 abs/2402.10309 CoRR https://doi.org/10.48550/arXiv.2402.10309 db/journals/corr/corr2402.html#abs-2402-10309

Yoshua Bengio Nikolay Malkin Machine learning and information theory concepts towards an AI Mathematician. 2024 abs/2403.04571 CoRR https://doi.org/10.48550/arXiv.2403.04571 db/journals/corr/corr2403.html#abs-2403-04571

Minsu Kim 0004 Sanghyeok Choi Jiwoo Son Hyeonah Kim Jinkyoo Park Yoshua Bengio Ant Colony Sampling with GFlowNets for Combinatorial Optimization. 2024 abs/2403.07041 CoRR https://doi.org/10.48550/arXiv.2403.07041 db/journals/corr/corr2403.html#abs-2403-07041

Nasim Rahaman Martin Weiss Manuel Wüthrich Yoshua Bengio Li Erran Li Chris Pal Bernhard Schölkopf Language Models Can Reduce Asymmetry in Information Markets. 2024 abs/2403.14443 CoRR https://doi.org/10.48550/arXiv.2403.14443 db/journals/corr/corr2403.html#abs-2403-14443

Usman Anwar Abulhair Saparov Javier Rando Daniel Paleka Miles Turpin Peter Hase Ekdeep Singh Lubana Erik Jenner Stephen Casper Oliver Sourbut Benjamin L. Edelman Zhaowei Zhang 0001 Mario Günther Anton Korinek José Hernández-Orallo Lewis Hammond Eric J. Bigelow Alexander Pan Lauro Langosco Tomasz Korbak Heidi C. Zhang Ruiqi Zhong Seán Ó hÉigeartaigh Gabriel Recchia Giulio Corsi Alan Chan Markus Anderljung Lilian Edwards Yoshua Bengio Danqi Chen 0001 Samuel Albanie Tegan Maharaj Jakob N. Foerster Florian Tramèr He He 0001 Atoosa Kasirzadeh Yejin Choi 0001 David Krueger 0001 Foundational Challenges in Assuring Alignment and Safety of Large Language Models. 2024 abs/2404.09932 CoRR https://doi.org/10.48550/arXiv.2404.09932 db/journals/corr/corr2404.html#abs-2404-09932

Michal Koziarski Mohammed Abukalam Vedant Shah Louis Vaillancourt Doris Alexandra Schuetz Moksh Jain Almer van der Sloot Mathieu Bourgey Anne Marinier Yoshua Bengio Towards DNA-Encoded Library Generation with GFlowNets. 2024 abs/2404.10094 CoRR https://doi.org/10.48550/arXiv.2404.10094 db/journals/corr/corr2404.html#abs-2404-10094

Maksym Korablyov Cheng-Hao Liu Moksh Jain Almer M. van der Sloot Eric Jolicoeur Edward Ruediger Andrei Cristian Nica Emmanuel Bengio Kostiantyn Lapchevskyi Daniel St-Cyr Doris Alexandra Schuetz Victor Ion Butoi Jarrid Rector-Brooks Simon Blackburn Leo Feng Hadi Nekoei Sai Krishna Gottipati Priyesh Vijayan Prateek Gupta Ladislav Rampásek Sasikanth Avancha Pierre-Luc Bacon William L. Hamilton Brooks Paige Sanchit Misra Stanislaw Kamil Jastrzebski Bharat Kaul Doina Precup José Miguel Hernández-Lobato Marwin H. S. Segler Michael M. Bronstein Anne Marinier Mike Tyers Yoshua Bengio Generative Active Learning for the Search of Small-molecule Protein Binders. 2024 abs/2405.01616 CoRR https://doi.org/10.48550/arXiv.2405.01616 db/journals/corr/corr2405.html#abs-2405-01616

David Dalrymple Joar Skalse Yoshua Bengio Stuart Russell 0001 Max Tegmark Sanjit A. Seshia Steve Omohundro Christian Szegedy Ben Goldhaber Nora Ammann Alessandro Abate Joe Halpern Clark W. Barrett Ding Zhao Tan Zhi-Xuan Jeannette M. Wing Joshua B. Tenenbaum Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems. 2024 abs/2405.06624 CoRR https://doi.org/10.48550/arXiv.2405.06624 db/journals/corr/corr2405.html#abs-2405-06624

Aniket Didolkar Anirudh Goyal Nan Rosemary Ke Siyuan Guo 0003 Michal Valko Timothy P. Lillicrap Danilo J. Rezende Yoshua Bengio Michael Mozer Sanjeev Arora Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving. 2024 abs/2405.12205 CoRR https://doi.org/10.48550/arXiv.2405.12205 db/journals/corr/corr2405.html#abs-2405-12205

Antoine Bellemare-Pépin François Lespinasse Philipp Thölke Yann Harel Kory W. Mathewson Jay A. Olson Yoshua Bengio Karim Jerbi Divergent Creativity in Humans and Large Language Models. 2024 abs/2405.13012 CoRR https://doi.org/10.48550/arXiv.2405.13012 db/journals/corr/corr2405.html#abs-2405-13012

Leo Feng Frederick Tung Hossein Hajimirsadeghi Mohamed Osama Ahmed Yoshua Bengio Greg Mori Attention as an RNN. 2024 abs/2405.13956 CoRR https://doi.org/10.48550/arXiv.2405.13956 db/journals/corr/corr2405.html#abs-2405-13956

Seanie Lee Minsu Kim 0004 Lynn Cherif David Dobre Juho Lee 0001 Sung Ju Hwang Kenji Kawaguchi Gauthier Gidel Yoshua Bengio Nikolay Malkin Moksh Jain Learning diverse attacks on large language models for robust red-teaming and safety tuning. 2024 abs/2405.18540 CoRR https://doi.org/10.48550/arXiv.2405.18540 db/journals/corr/corr2405.html#abs-2405-18540

Siddarth Venkatraman Moksh Jain Luca Scimeca Minsu Kim 0004 Marcin Sendera Mohsin Hasan Luke Rowe Sarthak Mittal Pablo Lemos Emmanuel Bengio Alexandre Adam Jarrid Rector-Brooks Yoshua Bengio Glen Berseth Nikolay Malkin Amortizing intractable inference in diffusion models for vision, language, and control. 2024 abs/2405.20971 CoRR https://doi.org/10.48550/arXiv.2405.20971 db/journals/corr/corr2405.html#abs-2405-20971

George Ma Emmanuel Bengio Yoshua Bengio Dinghuai Zhang Baking Symmetry into GFlowNets. 2024 abs/2406.05426 CoRR https://doi.org/10.48550/arXiv.2406.05426 db/journals/corr/corr2406.html#abs-2406-05426

Tianyu Zhang Suyuchen Wang Lu Li Ge Zhang 0009 Perouz Taslakian Sai Rajeswar Jie Fu 0001 Bang Liu 0003 Yoshua Bengio VCR: Visual Caption Restoration. 2024 abs/2406.06462 CoRR https://doi.org/10.48550/arXiv.2406.06462 db/journals/corr/corr2406.html#abs-2406-06462

Lu Li Tianyu Zhang Zhiqi Bu Suyuchen Wang Huan He Jie Fu 0001 Yonghui Wu 0001 Jiang Bian 0002 Yong Chen 0016 Yoshua Bengio MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation. 2024 abs/2406.07529 CoRR https://doi.org/10.48550/arXiv.2406.07529 db/journals/corr/corr2406.html#abs-2406-07529

Michal Koziarski Andrei Rekesh Dmytro Shevchuk Almer van der Sloot Piotr Gainski Yoshua Bengio Cheng-Hao Liu Mike Tyers Robert A. Batey RGFN: Synthesizable Molecular Generation Using GFlowNets. 2024 abs/2406.08506 CoRR https://doi.org/10.48550/arXiv.2406.08506 db/journals/corr/corr2406.html#abs-2406-08506 streams/journals/corr

Anas Krichel Nikolay Malkin Salem Lahlou Yoshua Bengio On Generalization for Generative Flow Networks. 2024 abs/2407.03105 CoRR https://doi.org/10.48550/arXiv.2407.03105 db/journals/corr/corr2407.html#abs-2407-03105 streams/journals/corr

Anka Reuel Ben Bucknall Stephen Casper Timothy Fist Lisa Soder Onni Aarne Lewis Hammond Lujain Ibrahim Alan Chan Peter Wills Markus Anderljung Ben Garfinkel Lennart Heim Andrew Trask Gabriel Mukobi Rylan Schaeffer Mauricio Baker Sara Hooker Irene Solaiman Alexandra Sasha Luccioni Nitarshan Rajkumar Nicolas Moës Jeffrey Ladish Neel Guha Jessica Newman Yoshua Bengio Tobin South Alex Pentland Sanmi Koyejo Mykel J. Kochenderfer Robert Trager Open Problems in Technical AI Governance. 2024 abs/2407.14981 CoRR https://doi.org/10.48550/arXiv.2407.14981 db/journals/corr/corr2407.html#abs-2407-14981 streams/journals/corr

Vedant Shah Dingli Yu Kaifeng Lyu Simon Park 0002 Nan Rosemary Ke Michael Mozer Yoshua Bengio Sanjeev Arora Anirudh Goyal AI-Assisted Generation of Difficult Math Questions. 2024 abs/2407.21009 CoRR https://doi.org/10.48550/arXiv.2407.21009 db/journals/corr/corr2407.html#abs-2407-21009 streams/journals/corr

Stephen Zhewen Lu Ziqing Lu Ehsan Hajiramezanali Tommaso Biancalani Yoshua Bengio Gabriele Scalia Michal Koziarski Cell Morphology-Guided Small Molecule Generation with GFlowNets. 2024 abs/2408.05196 CoRR https://doi.org/10.48550/arXiv.2408.05196 db/journals/corr/corr2408.html#abs-2408-05196 streams/journals/corr

Yoshua Bengio Michael K. Cohen Nikolay Malkin Matt MacDermott Damiano Fornasiere Pietro Greiner Younesse Kaddar Can a Bayesian Oracle Prevent Harm from an Agent? 2024 abs/2408.05284 CoRR https://doi.org/10.48550/arXiv.2408.05284 db/journals/corr/corr2408.html#abs-2408-05284 streams/journals/corr

Aniket Didolkar Andrii Zadaianchuk Anirudh Goyal Michael C. Mozer Yoshua Bengio Georg Martius Maximilian Seitzer Zero-Shot Object-Centric Representation Learning. 2024 abs/2408.09162 CoRR https://doi.org/10.48550/arXiv.2408.09162 db/journals/corr/corr2408.html#abs-2408-09162 streams/journals/corr

Lazar Atanackovic Xi Zhang Brandon Amos Mathieu Blanchette Leo J. Lee Yoshua Bengio Alexander Tong 0001 Kirill Neklyudov Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold. 2024 abs/2408.14608 CoRR https://doi.org/10.48550/arXiv.2408.14608 db/journals/corr/corr2408.html#abs-2408-14608 streams/journals/corr

Leo Feng Frederick Tung Mohamed Osama Ahmed Yoshua Bengio Hossein Hajimirsadeghi Were RNNs All We Needed? 2024 abs/2410.01201 CoRR https://doi.org/10.48550/arXiv.2410.01201 db/journals/corr/corr2410.html#abs-2410-01201 streams/journals/corr

Minsu Kim 0004 Sanghyeok Choi Taeyoung Yun Emmanuel Bengio Leo Feng Jarrid Rector-Brooks Sungsoo Ahn Jinkyoo Park Nikolay Malkin Yoshua Bengio Adaptive teachers for amortized samplers. 2024 abs/2410.01432 CoRR https://doi.org/10.48550/arXiv.2410.01432 db/journals/corr/corr2410.html#abs-2410-01432 streams/journals/corr

Jin Hwa Lee Thomas Jiralerspong Lei Yu Yoshua Bengio Emily Cheng Geometric Signatures of Compositionality Across a Language Model's Lifetime. 2024 abs/2410.01444 CoRR https://doi.org/10.48550/arXiv.2410.01444 db/journals/corr/corr2410.html#abs-2410-01444 streams/journals/corr

Seanie Lee Haebin Seong Dong Bok Lee Minki Kang Xiaoyin Chen Dominik Wagner 0002 Yoshua Bengio Juho Lee 0001 Sung Ju Hwang HarmAug: Effective Data Augmentation for Knowledge Distillation of Safety Guard Models. 2024 abs/2410.01524 CoRR https://doi.org/10.48550/arXiv.2410.01524 db/journals/corr/corr2410.html#abs-2410-01524 streams/journals/corr

Michael K. Cohen Marcus Hutter Yoshua Bengio Stuart Russell 0001 RL, but don't do anything I wouldn't do. 2024 abs/2410.06213 CoRR https://doi.org/10.48550/arXiv.2410.06213 db/journals/corr/corr2410.html#abs-2410-06213 streams/journals/corr

Mingde Zhao 0001 Tristan Sylvain Doina Precup Yoshua Bengio Identifying and Addressing Delusions for Target-Directed Decision-Making. 2024 abs/2410.07096 CoRR https://doi.org/10.48550/arXiv.2410.07096 db/journals/corr/corr2410.html#abs-2410-07096 streams/journals/corr

Jarrid Rector-Brooks Mohsin Hasan Zhangzhi Peng Zachary Quinn Cheng-Hao Liu Sarthak Mittal Nouha Dziri Michael M. Bronstein Yoshua Bengio Pranam Chatterjee Alexander Tong 0001 Avishek Joey Bose Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction. 2024 abs/2410.08134 CoRR https://doi.org/10.48550/arXiv.2410.08134 db/journals/corr/corr2410.html#abs-2410-08134 streams/journals/corr

Eric Elmoznino Thomas Jiralerspong Yoshua Bengio Guillaume Lajoie A Complexity-Based Theory of Compositionality. 2024 abs/2410.14817 CoRR https://doi.org/10.48550/arXiv.2410.14817 db/journals/corr/corr2410.html#abs-2410-14817 streams/journals/corr

Oussama Boussif Léna Néhale Ezzine Joseph D. Viviano Michal Koziarski Moksh Jain Nikolay Malkin Emmanuel Bengio Rim Assouel Yoshua Bengio Action abstractions for amortized sampling. 2024 abs/2410.15184 CoRR https://doi.org/10.48550/arXiv.2410.15184 db/journals/corr/corr2410.html#abs-2410-15184 streams/journals/corr

Cristian Meo Akihiro Nakano Mircea Lica Aniket Didolkar Masahiro Suzuki 0001 Anirudh Goyal Mengmi Zhang Justin Dauwels Yutaka Matsuo Yoshua Bengio Object-Centric Temporal Consistency via Conditional Autoregressive Inductive Biases. 2024 abs/2410.15728 CoRR https://doi.org/10.48550/arXiv.2410.15728 db/journals/corr/corr2410.html#abs-2410-15728 streams/journals/corr

Jiarui Lu Xiaoyin Chen Stephen Zhewen Lu Chence Shi Hongyu Guo Yoshua Bengio Jian Tang 0005 Structure Language Models for Protein Conformation Generation. 2024 abs/2410.18403 CoRR https://doi.org/10.48550/arXiv.2410.18403 db/journals/corr/corr2410.html#abs-2410-18403 streams/journals/corr

Xi Zhang Yuan Pu 0002 Yuki Kawamura Andrew Loza Yoshua Bengio Dennis L. Shung Alexander Tong 0001 Trajectory Flow Matching with Applications to Clinical Time Series Modeling. 2024 abs/2410.21154 CoRR https://doi.org/10.48550/arXiv.2410.21154 db/journals/corr/corr2410.html#abs-2410-21154 streams/journals/corr

Samuel G. B. Johnson Amir-Hossein Karimi Yoshua Bengio Nick Chater Tobias Gerstenberg Kate Larson Sydney Levine Melanie Mitchell Iyad Rahwan Bernhard Schölkopf Igor Grossmann Imagining and building wise machines: The centrality of AI metacognition. 2024 abs/2411.02478 CoRR https://doi.org/10.48550/arXiv.2411.02478 db/journals/corr/corr2411.html#abs-2411-02478 streams/journals/corr

Juan A. Rodríguez Xiangru Jian Siba Smarak Panigrahi Tianyu Zhang Aarash Feizi Abhay Puri Akshay Kalkunte François Savard Ahmed Masry Shravan Nayak Rabiul Awal Mahsa Massoud Amirhossein Abaskohi Zichao Li Suyuchen Wang Pierre-André Noël Mats Leon Richter Saverio Vadacchino Shubbam Agarwal Sanket Biswas Sara Shanian Ying Zhang 0033 Noah Bolger Kurt MacDonald Simon Fauvel Sathwik Tejaswi Srinivas Sunkara João Monteiro 0002 Krishnamurthy Dj Dvijotham Torsten Scholak Nicolas Chapados Sepideh Kharagani Sean Hughes M. Tamer Özsu Siva Reddy Marco Pedersoli Yoshua Bengio Christopher Pal Issam H. Laradji Spandana Gella Perouz Taslakian David Vázquez 0001 Sai Rajeswar BigDocs: An Open and Permissively-Licensed Dataset for Training Multimodal Models on Document and Code Tasks. 2024 abs/2412.04626 CoRR https://doi.org/10.48550/arXiv.2412.04626 db/journals/corr/corr2412.html#abs-2412-04626 streams/journals/corr

Yoshua Bengio Sören Mindermann Daniel Privitera Tamay Besiroglu Rishi Bommasani Stephen Casper Yejin Choi 0001 Danielle Goldfarb Hoda Heidari Leila Khalatbari Shayne Longpre Vasilios Mavroudis Mantas Mazeika Kwan Yee Ng Chinasa T. Okolo Inioluwa Deborah Raji Theodora Skeadas Florian Tramèr Bayo Adekanmbi Paul F. Christiano David Dalrymple Thomas G. Dietterich Edward W. Felten Pascale Fung Pierre-Olivier Gourinchas Nick R. Jennings Andreas Krause 0001 Percy Liang Teresa Ludermir Vidushi Marda Helen Z. Margetts John A. McDermid Arvind Narayanan Alondra Nelson Alice Oh Gopal Ramchurn Stuart Russell 0001 Marietje Schaake Dawn Song Alvaro Soto Lee Tiedrich Gaël Varoquaux Andrew Yao Ya-Qin Zhang International Scientific Report on the Safety of Advanced AI (Interim Report). 2024 abs/2412.05282 CoRR https://doi.org/10.48550/arXiv.2412.05282 https://www.wikidata.org/entity/Q136515649 db/journals/corr/corr2412.html#abs-2412-05282 streams/journals/corr

Zhen Liu 0019 Tim Z. Xiao Weiyang Liu Yoshua Bengio Dinghuai Zhang Efficient Diversity-Preserving Diffusion Alignment via Gradient-Informed GFlowNets. 2024 abs/2412.07775 CoRR https://doi.org/10.48550/arXiv.2412.07775 db/journals/corr/corr2412.html#abs-2412-07775 streams/journals/corr

David Rolnick Priya L. Donti Lynn H. Kaack Kelly Kochanski Alexandre Lacoste Kris Sankaran Andrew Slavin Ross Nikola Milojevic-Dupont Natasha Jaques Anna Waldman-Brown Alexandra Sasha Luccioni Tegan Maharaj Evan D. Sherwin S. Karthik Mukkavilli Konrad P. Kording Carla P. Gomes Andrew Y. Ng Demis Hassabis John C. Platt Felix Creutzig Jennifer T. Chayes Yoshua Bengio Tackling Climate Change with Machine Learning. 42:1-42:96 2023 55 ACM Comput. Surv. 2 https://doi.org/10.1145/3485128 https://www.wikidata.org/entity/Q113268488 db/journals/csur/csur55.html#RolnickDKKLSRMJ23

Alistair Knott Dino Pedreschi Raja Chatila 0001 Tapabrata Chakraborti Susan Leavy Ricardo Baeza-Yates David M. Eyers Andrew Trotman Paul D. Teal Przemyslaw Biecek Stuart Russell 0001 Yoshua Bengio Generative AI models should include detection mechanisms as a condition for public release. 55 2023 December 25 Ethics Inf. Technol. 4 https://doi.org/10.1007/s10676-023-09728-4 https://www.wikidata.org/entity/Q135256011 db/journals/ethicsit/ethicsit25.html#KnottPCCLBETTBRB23

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Yoshua Bengio Salem Lahlou Tristan Deleu Edward J. Hu Mo Tiwari Emmanuel Bengio GFlowNet Foundations. 210:1-210:55 2023 24 J. Mach. Learn. Res. https://jmlr.org/papers/v24/22-0364.html db/journals/jmlr/jmlr24.html#BengioLDHTB23

Hanchen Wang 0002 Tianfan Fu Yuanqi Du Wenhao Gao 0001 Kexin Huang Ziming Liu 0001 Payal Chandak Shengchao Liu Peter Van Katwyk Andreea Deac Anima Anandkumar Karianne Bergen Carla P. Gomes Shirley Ho Pushmeet Kohli Joan Lasenby Jure Leskovec Tie-Yan Liu Arjun K. Manrai Debora S. Marks Bharath Ramsundar Le Song Jimeng Sun 0001 Jian Tang 0005 Petar Velickovic Max Welling Linfeng Zhang 0002 Connor W. Coley Yoshua Bengio Marinka Zitnik Scientific discovery in the age of artificial intelligence. 47-60 2023 620 Nat. 7972 https://doi.org/10.1038/s41586-023-06221-2 https://www.wikidata.org/entity/Q123507904 db/journals/nature/nature620.html#WangFD0HLCLKDAB23

Nan Rosemary Ke Olexa Bilaniuk Anirudh Goyal Stefan Bauer Hugo Larochelle Bernhard Schölkopf Michael Curtis Mozer Christopher Pal Yoshua Bengio Neural Causal Structure Discovery from Interventions. 2023 2023 Trans. Mach. Learn. Res. https://openreview.net/forum?id=rdHVPPVuXa db/journals/tmlr/tmlr2023.html#KeBGBLSMPB23

Salem Lahlou Moksh Jain Hadi Nekoei Victor Butoi Paul Bertin Jarrid Rector-Brooks Maksym Korablyov Yoshua Bengio DEUP: Direct Epistemic Uncertainty Prediction. 2023 2023 Trans. Mach. Learn. Res. https://openreview.net/forum?id=eGLdVRvvfQ db/journals/tmlr/tmlr2023.html#LahlouJNBBRKB23

Ramnath Kumar Tristan Deleu Yoshua Bengio The Effect of Diversity in Meta-Learning. 8396-8404 2023 AAAI https://doi.org/10.1609/aaai.v37i7.26012 conf/aaai/2023 db/conf/aaai/aaai2023.html#KumarDB23 Dianbo Liu Alex Lamb Xu Ji Pascal Tikeng Notsawo Jr. Michael Mozer Yoshua Bengio Kenji Kawaguchi Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization for Heterogeneous Representational Coarseness. 8825-8833 2023 AAAI https://doi.org/10.1609/aaai.v37i7.26061 conf/aaai/2023 db/conf/aaai/aaai2023.html#LiuLJNMBK23 Edoardo Maria Ponti Alessandro Sordoni Yoshua Bengio Siva Reddy Combining Parameter-efficient Modules for Task-level Generalisation. 687-702 2023 EACL https://doi.org/10.18653/v1/2023.eacl-main.49 https://aclanthology.org/2023.eacl-main.49 conf/eacl/2023 db/conf/eacl/eacl2023.html#PontiSBR23 Leo Feng Hossein Hajimirsadeghi Yoshua Bengio Mohamed Osama Ahmed Latent Bottlenecked Attentive Neural Processes. 2023 ICLR https://openreview.net/forum?id=yIxtevizEA conf/iclr/2023 db/conf/iclr/iclr2023.html#FengHBA23 Dianbo Liu Vedant Shah Oussama Boussif Cristian Meo Anirudh Goyal Tianmin Shu Michael Curtis Mozer Nicolas Heess Yoshua Bengio Stateful Active Facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning. 2023 ICLR https://openreview.net/forum?id=B4maZQLLW0_ conf/iclr/2023 db/conf/iclr/iclr2023.html#LiuSBMGSMHB23 Nikolay Malkin Salem Lahlou Tristan Deleu Xu Ji Edward J. 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Xu Tan 0003 Tao Qin 0001 Jiang Bian 0002 Tie-Yan Liu Yoshua Bengio Regeneration Learning: A Learning Paradigm for Data Generation. 2023 abs/2301.08846 CoRR https://doi.org/10.48550/arXiv.2301.08846 db/journals/corr/corr2301.html#abs-2301-08846

Sumukh K. Aithal Anirudh Goyal Alex Lamb Yoshua Bengio Michael Mozer Leveraging the Third Dimension in Contrastive Learning. 2023 abs/2301.11790 CoRR https://doi.org/10.48550/arXiv.2301.11790 db/journals/corr/corr2301.html#abs-2301-11790

Salem Lahlou Tristan Deleu Pablo Lemos Dinghuai Zhang Alexandra Volokhova Alex Hernández-García Léna Néhale Ezzine Yoshua Bengio Nikolay Malkin A theory of continuous generative flow networks. 2023 abs/2301.12594 CoRR https://doi.org/10.48550/arXiv.2301.12594 db/journals/corr/corr2301.html#abs-2301-12594

Alexander Tong 0001 Nikolay Malkin Guillaume Huguet Yanlei Zhang Jarrid Rector-Brooks Kilian Fatras Guy Wolf Yoshua Bengio Conditional Flow Matching: Simulation-Free Dynamic Optimal Transport. 2023 abs/2302.00482 CoRR https://doi.org/10.48550/arXiv.2302.00482 db/journals/corr/corr2302.html#abs-2302-00482

Moksh Jain Tristan Deleu Jason S. Hartford Cheng-Hao Liu Alex Hernández-García Yoshua Bengio GFlowNets for AI-Driven Scientific Discovery. 2023 abs/2302.00615 CoRR https://doi.org/10.48550/arXiv.2302.00615 db/journals/corr/corr2302.html#abs-2302-00615

Ling Pan Nikolay Malkin Dinghuai Zhang Yoshua Bengio Better Training of GFlowNets with Local Credit and Incomplete Trajectories. 2023 abs/2302.01687 CoRR https://doi.org/10.48550/arXiv.2302.01687 db/journals/corr/corr2302.html#abs-2302-01687

Lazar Atanackovic Alexander Tong 0001 Jason S. Hartford Leo J. Lee Bo Wang Yoshua Bengio DynGFN: Bayesian Dynamic Causal Discovery using Generative Flow Networks. 2023 abs/2302.04178 CoRR https://doi.org/10.48550/arXiv.2302.04178 db/journals/corr/corr2302.html#abs-2302-04178

Dinghuai Zhang Ling Pan Ricky T. Q. Chen Aaron C. Courville Yoshua Bengio Distributional GFlowNets with Quantile Flows. 2023 abs/2302.05793 CoRR https://doi.org/10.48550/arXiv.2302.05793 db/journals/corr/corr2302.html#abs-2302-05793

Xu Ji Eric Elmoznino George Deane Axel Constant Guillaume Dumas Guillaume Lajoie Jonathan Simon Yoshua Bengio Sources of Richness and Ineffability for Phenomenally Conscious States. 2023 abs/2302.06403 CoRR https://doi.org/10.48550/arXiv.2302.06403 db/journals/corr/corr2302.html#abs-2302-06403

Edward J. Hu Nikolay Malkin Moksh Jain Katie Everett Alexandros Graikos Yoshua Bengio GFlowNet-EM for learning compositional latent variable models. 2023 abs/2302.06576 CoRR https://doi.org/10.48550/arXiv.2302.06576 db/journals/corr/corr2302.html#abs-2302-06576

Ling Pan Dinghuai Zhang Moksh Jain Longbo Huang Yoshua Bengio Stochastic Generative Flow Networks. 2023 abs/2302.09465 CoRR https://doi.org/10.48550/arXiv.2302.09465 db/journals/corr/corr2302.html#abs-2302-09465

Bailey Trang Nguyen Amin Mansouri Kanika Madan Khuong Nguyen Kartik Ahuja Dianbo Liu Yoshua Bengio Reusable Slotwise Mechanisms. 2023 abs/2302.10503 CoRR https://doi.org/10.48550/arXiv.2302.10503 db/journals/corr/corr2302.html#abs-2302-10503

Michael Poli Stefano Massaroli Eric Nguyen Daniel Y. Fu Tri Dao Stephen Baccus Yoshua Bengio Stefano Ermon Christopher Ré Hyena Hierarchy: Towards Larger Convolutional Language Models. 2023 abs/2302.10866 CoRR https://doi.org/10.48550/arXiv.2302.10866 db/journals/corr/corr2302.html#abs-2302-10866

Alexandre Duval Victor Schmidt Alex Hernández-García Santiago Miret Fragkiskos D. Malliaros Yoshua Bengio David Rolnick FAENet: Frame Averaging Equivariant GNN for Materials Modeling. 2023 abs/2305.05577 CoRR https://doi.org/10.48550/arXiv.2305.05577 db/journals/corr/corr2305.html#abs-2305-05577

Leo Feng Frederick Tung Hossein Hajimirsadeghi Yoshua Bengio Mohamed Osama Ahmed Constant Memory Attentive Neural Processes. 2023 abs/2305.14567 CoRR https://doi.org/10.48550/arXiv.2305.14567 db/journals/corr/corr2305.html#abs-2305-14567

Toby Shevlane Sebastian Farquhar Ben Garfinkel Mary Phuong Jess Whittlestone Jade Leung Daniel Kokotajlo Nahema Marchal Markus Anderljung Noam Kolt Lewis Ho Divya Siddarth Shahar Avin Will Hawkins Been Kim Iason Gabriel Vijay Bolina Jack Clark Yoshua Bengio Paul F. Christiano Allan Dafoe Model evaluation for extreme risks. 2023 abs/2305.15324 CoRR https://doi.org/10.48550/arXiv.2305.15324 db/journals/corr/corr2305.html#abs-2305-15324

Dinghuai Zhang Hanjun Dai Nikolay Malkin Aaron C. Courville Yoshua Bengio Ling Pan Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets. 2023 abs/2305.17010 CoRR https://doi.org/10.48550/arXiv.2305.17010 db/journals/corr/corr2305.html#abs-2305-17010

Dianbo Liu Samuele Bolotta He Zhu Yoshua Bengio Guillaume Dumas Attention Schema in Neural Agents. 2023 abs/2305.17375 CoRR https://doi.org/10.48550/arXiv.2305.17375 db/journals/corr/corr2305.html#abs-2305-17375

Tristan Deleu Mizu Nishikawa-Toomey Jithendaraa Subramanian Nikolay Malkin Laurent Charlin Yoshua Bengio Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network. 2023 abs/2305.19366 CoRR https://doi.org/10.48550/arXiv.2305.19366 db/journals/corr/corr2305.html#abs-2305-19366

Ayush Chakravarthy Bailey Trang Nguyen Anirudh Goyal Yoshua Bengio Michael C. Mozer Spotlight Attention: Robust Object-Centric Learning With a Spatial Locality Prior. 2023 abs/2305.19550 CoRR https://doi.org/10.48550/arXiv.2305.19550 db/journals/corr/corr2305.html#abs-2305-19550

Oussama Boussif Ghait Boukachab Dan Assouline Stefano Massaroli Tianle Yuan Loubna Benabbou Yoshua Bengio What if We Enrich day-ahead Solar Irradiance Time Series Forecasting with Spatio-Temporal Context? 2023 abs/2306.01112 CoRR https://doi.org/10.48550/arXiv.2306.01112 db/journals/corr/corr2306.html#abs-2306-01112

Aniket Didolkar Anirudh Goyal Yoshua Bengio Cycle Consistency Driven Object Discovery. 2023 abs/2306.02204 CoRR https://doi.org/10.48550/arXiv.2306.02204 db/journals/corr/corr2306.html#abs-2306-02204

Alexandre Lacoste Nils Lehmann Pau Rodríguez Evan David Sherwin Hannah Kerner Björn Lütjens Jeremy Andrew Irvin David Dao Hamed Alemohammad Alexandre Drouin Mehmet Gunturkun Gabriel Huang David Vázquez 0001 Dava J. Newman Yoshua Bengio Stefano Ermon Xiao Xiang Zhu 0001 GEO-Bench: Toward Foundation Models for Earth Monitoring. 2023 abs/2306.03831 CoRR https://doi.org/10.48550/arXiv.2306.03831 db/journals/corr/corr2306.html#abs-2306-03831

Alex Hernández-García Nikita Saxena Moksh Jain Cheng-Hao Liu Yoshua Bengio Multi-Fidelity Active Learning with GFlowNets. 2023 abs/2306.11715 CoRR https://doi.org/10.48550/arXiv.2306.11715 db/journals/corr/corr2306.html#abs-2306-11715

Leo Feng Frederick Tung Hossein Hajimirsadeghi Yoshua Bengio Mohamed Osama Ahmed Constant Memory Attention Block. 2023 abs/2306.12599 CoRR https://doi.org/10.48550/arXiv.2306.12599 db/journals/corr/corr2306.html#abs-2306-12599

Shreshth A. Malik Salem Lahlou Andrew Jesson Moksh Jain Nikolay Malkin Tristan Deleu Yoshua Bengio Yarin Gal BatchGFN: Generative Flow Networks for Batch Active Learning. 2023 abs/2306.15058 CoRR https://doi.org/10.48550/arXiv.2306.15058 db/journals/corr/corr2306.html#abs-2306-15058

Eric Nguyen Michael Poli Marjan Faizi Armin W. Thomas Callum Birch-Sykes Michael Wornow Aman Patel Clayton M. Rabideau Stefano Massaroli Yoshua Bengio Stefano Ermon Stephen A. Baccus Christopher Ré HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution. 2023 abs/2306.15794 CoRR https://doi.org/10.48550/arXiv.2306.15794 db/journals/corr/corr2306.html#abs-2306-15794

Jarrid Rector-Brooks Kanika Madan Moksh Jain Maksym Korablyov Cheng-Hao Liu Sarath Chandar Nikolay Malkin Yoshua Bengio Thompson sampling for improved exploration in GFlowNets. 2023 abs/2306.17693 CoRR https://doi.org/10.48550/arXiv.2306.17693 db/journals/corr/corr2306.html#abs-2306-17693

Tristan Deleu Yoshua Bengio Generative Flow Networks: a Markov Chain Perspective. 2023 abs/2307.01422 CoRR https://doi.org/10.48550/arXiv.2307.01422 db/journals/corr/corr2307.html#abs-2307-01422

Alexander Tong 0001 Nikolay Malkin Kilian Fatras Lazar Atanackovic Yanlei Zhang Guillaume Huguet Guy Wolf Yoshua Bengio Simulation-free Schrödinger bridges via score and flow matching. 2023 abs/2307.03672 CoRR https://doi.org/10.48550/arXiv.2307.03672 db/journals/corr/corr2307.html#abs-2307-03672

Lewis Ho Joslyn Barnhart Robert Trager Yoshua Bengio Miles Brundage Allison Carnegie Rumman Chowdhury Allan Dafoe Gillian K. Hadfield Margaret Levi Duncan Snidal International Institutions for Advanced AI. 2023 abs/2307.04699 CoRR https://doi.org/10.48550/arXiv.2307.04699 db/journals/corr/corr2307.html#abs-2307-04699

Chris Chinenye Emezue Alexandre Drouin Tristan Deleu Stefan Bauer Yoshua Bengio Benchmarking Bayesian Causal Discovery Methods for Downstream Treatment Effect Estimation. 2023 abs/2307.04988 CoRR https://doi.org/10.48550/arXiv.2307.04988 db/journals/corr/corr2307.html#abs-2307-04988

Yoshua Bengio Prateek Gupta Lu Li Soham Phade Sunil Srinivasa Andrew Williams 0008 Tianyu Zhang Yang Zhang Stephan Zheng AI For Global Climate Cooperation 2023 Competition Proceedings. 2023 abs/2307.06951 CoRR https://doi.org/10.48550/arXiv.2307.06951 db/journals/corr/corr2307.html#abs-2307-06951

Patrick Butlin Robert Long Eric Elmoznino Yoshua Bengio Jonathan Birch Axel Constant George Deane Stephen M. Fleming Chris Frith Xu Ji Ryota Kanai Colin Klein Grace Lindsay Matthias Michel Liad Mudrik Megan A. K. Peters Eric Schwitzgebel Jonathan Simon Rufin VanRullen Consciousness in Artificial Intelligence: Insights from the Science of Consciousness. 2023 abs/2308.08708 CoRR https://doi.org/10.48550/arXiv.2308.08708 db/journals/corr/corr2308.html#abs-2308-08708

Leo Feng Frederick Tung Hossein Hajimirsadeghi Yoshua Bengio Mohamed Osama Ahmed Tree Cross Attention. 2023 abs/2309.17388 CoRR https://doi.org/10.48550/arXiv.2309.17388 db/journals/corr/corr2309.html#abs-2309-17388

Mingde Zhao 0001 Safa Alver Harm van Seijen Romain Laroche Doina Precup Yoshua Bengio Combining Spatial and Temporal Abstraction in Planning for Better Generalization. 2023 abs/2310.00229 CoRR https://doi.org/10.48550/arXiv.2310.00229 db/journals/corr/corr2310.html#abs-2310-00229

Andrew Nam Eric Elmoznino Nikolay Malkin Chen Sun 0007 Yoshua Bengio Guillaume Lajoie Discrete, compositional, and symbolic representations through attractor dynamics. 2023 abs/2310.01807 CoRR https://doi.org/10.48550/arXiv.2310.01807 db/journals/corr/corr2310.html#abs-2310-01807

Luca Scimeca Alexander Rubinstein 0002 Armand Mihai Nicolicioiu Damien Teney Yoshua Bengio Leveraging Diffusion Disentangled Representations to Mitigate Shortcuts in Underspecified Visual Tasks. 2023 abs/2310.02230 CoRR https://doi.org/10.48550/arXiv.2310.02230 db/journals/corr/corr2310.html#abs-2310-02230

Jean-Pierre R. Falet Hae Beom Lee Nikolay Malkin Chen Sun 0007 Dragos Secrieru Dinghuai Zhang Guillaume Lajoie Yoshua Bengio Delta-AI: Local objectives for amortized inference in sparse graphical models. 2023 abs/2310.02423 CoRR https://doi.org/10.48550/arXiv.2310.02423 db/journals/corr/corr2310.html#abs-2310-02423

Dinghuai Zhang Ricky Tian Qi Chen Cheng-Hao Liu Aaron C. Courville Yoshua Bengio Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization. 2023 abs/2310.02679 CoRR https://doi.org/10.48550/arXiv.2310.02679 db/journals/corr/corr2310.html#abs-2310-02679

Minsu Kim 0004 Taeyoung Yun Emmanuel Bengio Dinghuai Zhang Yoshua Bengio Sungsoo Ahn Jinkyoo Park Local Search GFlowNets. 2023 abs/2310.02710 CoRR https://doi.org/10.48550/arXiv.2310.02710 db/journals/corr/corr2310.html#abs-2310-02710

Marco Jiralerspong Bilun Sun Danilo Vucetic Tianyu Zhang Yoshua Bengio Gauthier Gidel Nikolay Malkin Expected flow networks in stochastic environments and two-player zero-sum games. 2023 abs/2310.02779 CoRR https://doi.org/10.48550/arXiv.2310.02779 db/journals/corr/corr2310.html#abs-2310-02779

Minsu Kim 0004 Joohwan Ko Dinghuai Zhang Ling Pan Taeyoung Yun Woochang Kim Jinkyoo Park Yoshua Bengio Learning to Scale Logits for Temperature-Conditional GFlowNets. 2023 abs/2310.02823 CoRR https://doi.org/10.48550/arXiv.2310.02823 db/journals/corr/corr2310.html#abs-2310-02823

Ling Pan Moksh Jain Kanika Madan Yoshua Bengio Pre-Training and Fine-Tuning Generative Flow Networks. 2023 abs/2310.03419 CoRR https://doi.org/10.48550/arXiv.2310.03419 db/journals/corr/corr2310.html#abs-2310-03419

Bailey Trang Nguyen Alexander Tong 0001 Kanika Madan Yoshua Bengio Dianbo Liu Causal Inference in Gene Regulatory Networks with GFlowNet: Towards Scalability in Large Systems. 2023 abs/2310.03579 CoRR https://doi.org/10.48550/arXiv.2310.03579 db/journals/corr/corr2310.html#abs-2310-03579

Edward J. Hu Moksh Jain Eric Elmoznino Younesse Kaddar Guillaume Lajoie Yoshua Bengio Nikolay Malkin Amortizing intractable inference in large language models. 2023 abs/2310.04363 CoRR https://doi.org/10.48550/arXiv.2310.04363 db/journals/corr/corr2310.html#abs-2310-04363

Alex Hernández-García Alexandre Duval Alexandra Volokhova Yoshua Bengio Divya Sharma Pierre Luc Carrier Michal Koziarski Victor Schmidt Crystal-GFN: sampling crystals with desirable properties and constraints. 2023 abs/2310.04925 CoRR https://doi.org/10.48550/arXiv.2310.04925 db/journals/corr/corr2310.html#abs-2310-04925

Alvaro Carbonero Alexandre Duval Victor Schmidt Santiago Miret Alex Hernández-García Yoshua Bengio David Rolnick On the importance of catalyst-adsorbate 3D interactions for relaxed energy predictions. 2023 abs/2310.06682 CoRR https://doi.org/10.48550/arXiv.2310.06682 db/journals/corr/corr2310.html#abs-2310-06682

Charles C. Onu Samantha Latremouille Arsenii Gorin Junhao Wang Uchenna Ekwochi Peter O. Ubuane Omolara A. Kehinde Muhammad A. Salisu Datonye Briggs Yoshua Bengio Doina Precup A cry for help: Early detection of brain injury in newborns. 2023 abs/2310.08338 CoRR https://doi.org/10.48550/arXiv.2310.08338 db/journals/corr/corr2310.html#abs-2310-08338

Mingyang Zhou Zichao Yan Elliot Layne Nikolay Malkin Dinghuai Zhang Moksh Jain Mathieu Blanchette Yoshua Bengio PhyloGFN: Phylogenetic inference with generative flow networks. 2023 abs/2310.08774 CoRR https://doi.org/10.48550/arXiv.2310.08774 db/journals/corr/corr2310.html#abs-2310-08774

Alexandra Volokhova Michal Koziarski Alex Hernández-García Cheng-Hao Liu Santiago Miret Pablo Lemos Luca A. Thiede Zichao Yan Alán Aspuru-Guzik Yoshua Bengio Towards equilibrium molecular conformation generation with GFlowNets. 2023 abs/2310.14782 CoRR https://doi.org/10.48550/arXiv.2310.14782 db/journals/corr/corr2310.html#abs-2310-14782

Alejandro Tejada-Lapuerta Paul Bertin Stefan Bauer Hananeh Aliee Yoshua Bengio Fabian J. Theis Causal machine learning for single-cell genomics. 2023 abs/2310.14935 CoRR https://doi.org/10.48550/arXiv.2310.14935 db/journals/corr/corr2310.html#abs-2310-14935

Yoshua Bengio Geoffrey E. Hinton Andrew Yao Dawn Song Pieter Abbeel Yuval Noah Harari Ya-Qin Zhang Lan Xue Shai Shalev-Shwartz Gillian K. Hadfield Jeff Clune Tegan Maharaj Frank Hutter Atilim Günes Baydin Sheila A. McIlraith Qiqi Gao Ashwin Acharya David Krueger 0001 Anca D. Dragan Philip H. S. Torr Stuart Russell 0001 Daniel Kahneman Jan Brauner Sören Mindermann Managing AI Risks in an Era of Rapid Progress. 2023 abs/2310.17688 CoRR https://doi.org/10.48550/arXiv.2310.17688 db/journals/corr/corr2310.html#abs-2310-17688

Stefano Massaroli Michael Poli Daniel Y. Fu Hermann Kumbong Rom N. Parnichkun Aman Timalsina David W. Romero Quinn McIntyre Beidi Chen Atri Rudra Ce Zhang 0001 Christopher Ré Stefano Ermon Yoshua Bengio Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions. 2023 abs/2310.18780 CoRR https://doi.org/10.48550/arXiv.2310.18780 db/journals/corr/corr2310.html#abs-2310-18780

Rim Assouel Pau Rodríguez Perouz Taslakian David Vázquez 0001 Yoshua Bengio OC-NMN: Object-centric Compositional Neural Module Network for Generative Visual Analogical Reasoning. 2023 abs/2310.18807 CoRR https://doi.org/10.48550/arXiv.2310.18807 db/journals/corr/corr2310.html#abs-2310-18807

Amin Mansouri Jason S. Hartford Yan Zhang 0067 Yoshua Bengio Object-centric architectures enable efficient causal representation learning. 2023 abs/2310.19054 CoRR https://doi.org/10.48550/arXiv.2310.19054 db/journals/corr/corr2310.html#abs-2310-19054

Mélisande Teng Amna Elmustafa Benjamin Akera Yoshua Bengio Hager Radi Abdelwahed Hugo Larochelle David Rolnick SatBird: Bird Species Distribution Modeling with Remote Sensing and Citizen Science Data. 2023 abs/2311.00936 CoRR https://doi.org/10.48550/arXiv.2311.00936 db/journals/corr/corr2311.html#abs-2311-00936

Vedant Shah Frederik Träuble Ashish Malik Hugo Larochelle Michael Mozer Sanjeev Arora Yoshua Bengio Anirudh Goyal Unlearning via Sparse Representations. 2023 abs/2311.15268 CoRR https://doi.org/10.48550/arXiv.2311.15268 db/journals/corr/corr2311.html#abs-2311-15268

Luca Scimeca Alexander Rubinstein 0002 Damien Teney Seong Joon Oh Armand Mihai Nicolicioiu Yoshua Bengio Shortcut Bias Mitigation via Ensemble Diversity Using Diffusion Probabilistic Models. 2023 abs/2311.16176 CoRR https://doi.org/10.48550/arXiv.2311.16176 db/journals/corr/corr2311.html#abs-2311-16176

Pablo Lemos Nikolay Malkin Will Handley Yoshua Bengio Yashar Hezaveh Laurence Perreault Levasseur Improving Gradient-guided Nested Sampling for Posterior Inference. 2023 abs/2312.03911 CoRR https://doi.org/10.48550/arXiv.2312.03911 db/journals/corr/corr2312.html#abs-2312-03911

Alexandre Duval Simon V. Mathis Chaitanya K. Joshi Victor Schmidt Santiago Miret Fragkiskos D. Malliaros Taco Cohen Pietro Lio Yoshua Bengio Michael M. Bronstein A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems. 2023 abs/2312.07511 CoRR https://doi.org/10.48550/arXiv.2312.07511 db/journals/corr/corr2312.html#abs-2312-07511

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Cheng-Hao Liu Maksym Korablyov Stanislaw Jastrzebski Pawel Wlodarczyk-Pruszynski Yoshua Bengio Marwin H. S. Segler RetroGNN: Fast Estimation of Synthesizability for Virtual Screening and De Novo Design by Learning from Slow Retrosynthesis Software. 2293-2300 2022 62 J. Chem. Inf. Model. 10 https://doi.org/10.1021/acs.jcim.1c01476 db/journals/jcisd/jcisd62.html#LiuKJWBS22

Vikas Verma Kenji Kawaguchi Alex Lamb Juho Kannala Arno Solin Yoshua Bengio David Lopez-Paz Interpolation consistency training for semi-supervised learning. 90-106 2022 145 Neural Networks https://doi.org/10.1016/j.neunet.2021.10.008 db/journals/nn/nn145.html#VermaKLKSBL22

Alex Lamb Vikas Verma Kenji Kawaguchi Alexander Matyasko Savya Khosla Juho Kannala Yoshua Bengio Interpolated Adversarial Training: Achieving robust neural networks without sacrificing too much accuracy. 218-233 2022 154 Neural Networks https://doi.org/10.1016/j.neunet.2022.07.012 db/journals/nn/nn154.html#LambVKMKKB22

Prateek Gupta Elias Boutros Khalil Didier Chételat Maxime Gasse Andrea Lodi 0001 Yoshua Bengio M. Pawan Kumar Lookback for Learning to Branch. 2022 2022 Trans. Mach. Learn. Res. https://openreview.net/forum?id=EQpGkw5rvL db/journals/tmlr/tmlr2022.html#GuptaKCGLBK22

Qicheng Lao Xiang Jiang 0001 Mohammad Havaei Yoshua Bengio A Two-Stream Continual Learning System With Variational Domain-Agnostic Feature Replay. 4466-4478 2022 33 IEEE Trans. Neural Networks Learn. Syst. 9 https://doi.org/10.1109/TNNLS.2021.3057453 https://www.wikidata.org/entity/Q114932495 db/journals/tnn/tnn33.html#LaoJHB22

Tianyi Zhang Shirui Zhang Ziwei Chen Yoshua Bengio Dianbo Liu PMFL: Partial Meta-Federated Learning for heterogeneous tasks and its applications on real-world medical records. 4453-4462 2022 IEEE Big Data https://doi.org/10.1109/BigData55660.2022.10020281 conf/bigdataconf/2022 db/conf/bigdataconf/bigdataconf2022.html#ZhangZCBL22 Rim Assouel Lluís Castrejón Aaron C. Courville Nicolas Ballas Yoshua Bengio VIM: Variational Independent Modules for Video Prediction. 70-89 2022 CLeaR https://proceedings.mlr.press/v177/assouel22a.html conf/clear2/2022 db/conf/clear2/clear2022.html#AssouelCCBB22 Kartik Ahuja Jason S. 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Hartford Yoshua Bengio Weakly Supervised Representation Learning with Sparse Perturbations. 2022 conf/nips/2022 NeurIPS http://papers.nips.cc/paper_files/paper/2022/hash/63d3bae2c1f525745003f679e45bcf7b-Abstract-Conference.html db/conf/nips/neurips2022.html#AhujaHB22 Oussama Boussif Yoshua Bengio Loubna Benabbou Dan Assouline MAgNet: Mesh Agnostic Neural PDE Solver. 2022 conf/nips/2022 NeurIPS http://papers.nips.cc/paper_files/paper/2022/hash/cf4c7ee0734cdfe09a099cf6cd7b117a-Abstract-Conference.html db/conf/nips/neurips2022.html#BoussifBBA22 Aniket Didolkar Kshitij Gupta Anirudh Goyal Nitesh B. 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Ramnath Kumar Tristan Deleu Yoshua Bengio The Effect of Diversity in Meta-Learning. 2022 abs/2201.11775 CoRR https://arxiv.org/abs/2201.11775 db/journals/corr/corr2201.html#abs-2201-11775

Ramnath Kumar Tristan Deleu Yoshua Bengio Rethinking Learning Dynamics in RL using Adversarial Networks. 2022 abs/2201.11783 CoRR https://arxiv.org/abs/2201.11783 db/journals/corr/corr2201.html#abs-2201-11783

Nikolay Malkin Moksh Jain Emmanuel Bengio Chen Sun 0007 Yoshua Bengio Trajectory Balance: Improved Credit Assignment in GFlowNets. 2022 abs/2201.13259 CoRR https://arxiv.org/abs/2201.13259 db/journals/corr/corr2201.html#abs-2201-13259

Maxence Ernoult Fabrice Normandin Abhinav Moudgil Sean Spinney Eugene Belilovsky Irina Rish Blake A. Richards Yoshua Bengio Towards Scaling Difference Target Propagation by Learning Backprop Targets. 2022 abs/2201.13415 CoRR https://arxiv.org/abs/2201.13415 db/journals/corr/corr2201.html#abs-2201-13415

Dianbo Liu Alex Lamb Xu Ji Pascal Notsawo Michael Mozer Yoshua Bengio Kenji Kawaguchi Adaptive Discrete Communication Bottlenecks with Dynamic Vector Quantization. 2022 abs/2202.01334 CoRR https://arxiv.org/abs/2202.01334 db/journals/corr/corr2202.html#abs-2202-01334

Dinghuai Zhang Nikolay Malkin Zhen Liu 0019 Alexandra Volokhova Aaron C. Courville Yoshua Bengio Generative Flow Networks for Discrete Probabilistic Modeling. 2022 abs/2202.01361 CoRR https://arxiv.org/abs/2202.01361 db/journals/corr/corr2202.html#abs-2202-01361

Paul Bertin Jarrid Rector-Brooks Deepak Sharma Thomas Gaudelet Andrew Anighoro Torsten Gross Francisco Martinez-Pena Eileen L. Tang Suraj M. S Cristian Regep Jeremy B. R. Hayter Maksym Korablyov Nicholas Valiante Almer van der Sloot Mike Tyers Charles Roberts Michael M. Bronstein Luke L. Lairson Jake P. Taylor-King Yoshua Bengio RECOVER: sequential model optimization platform for combination drug repurposing identifies novel synergistic compounds in vitro. 2022 abs/2202.04202 CoRR https://arxiv.org/abs/2202.04202 db/journals/corr/corr2202.html#abs-2202-04202

Tristan Deleu António Góis Chris Emezue Mansi Rankawat Simon Lacoste-Julien Stefan Bauer Yoshua Bengio Bayesian Structure Learning with Generative Flow Networks. 2022 abs/2202.13903 CoRR https://arxiv.org/abs/2202.13903 db/journals/corr/corr2202.html#abs-2202-13903

Tristan Deleu David Kanaa Leo Feng Giancarlo Kerg Yoshua Bengio Guillaume Lajoie Pierre-Luc Bacon Continuous-Time Meta-Learning with Forward Mode Differentiation. 2022 abs/2203.01443 CoRR https://doi.org/10.48550/arXiv.2203.01443 db/journals/corr/corr2203.html#abs-2203-01443

François St-Hilaire Dung Do Vu Antoine Frau Nathan Burns Farid Faraji Joseph Potochny Stephane Robert Arnaud Roussel Selene Zheng Taylor Glazier Junfel Vincent Romano Robert Belfer Muhammad Shayan Ariella Smofsky Tommy Delarosbil Seulmin Ahn Simon Eden-Walker Kritika Sony Ansona Onyi Ching Sabina Elkins Anush Stepanyan Adela Matajova Victor Chen Hossein Sahraei Robert Larson Nadia Markova Andrew Barkett Laurent Charlin Yoshua Bengio Iulian Vlad Serban Ekaterina Kochmar A New Era: Intelligent Tutoring Systems Will Transform Online Learning for Millions. 2022 abs/2203.03724 CoRR https://doi.org/10.48550/arXiv.2203.03724 db/journals/corr/corr2203.html#abs-2203-03724

Moksh Jain Emmanuel Bengio Alex Hernández-García Jarrid Rector-Brooks Bonaventure F. P. Dossou Chanakya Ekbote Jie Fu 0001 Tianyu Zhang Michael Kilgour Dinghuai Zhang Lena Simine Payel Das Yoshua Bengio Biological Sequence Design with GFlowNets. 2022 abs/2203.04115 CoRR https://doi.org/10.48550/arXiv.2203.04115 db/journals/corr/corr2203.html#abs-2203-04115

Akram Erraqabi Marlos C. Machado Mingde Zhao 0001 Sainbayar Sukhbaatar Alessandro Lazaric Ludovic Denoyer Yoshua Bengio Temporal Abstractions-Augmented Temporally Contrastive Learning: An Alternative to the Laplacian in RL. 2022 abs/2203.11369 CoRR https://doi.org/10.48550/arXiv.2203.11369 db/journals/corr/corr2203.html#abs-2203-11369

Yoshua Bengio Prateek Gupta Dylan R. Radovic Maarten Scholl Andrew Williams 0008 Christian Schröder de Witt Tianyu Zhang Yang Zhang (Private)-Retroactive Carbon Pricing [(P)ReCaP]: A Market-based Approach for Climate Finance and Risk Assessment. 2022 abs/2205.00666 CoRR https://doi.org/10.48550/arXiv.2205.00666 db/journals/corr/corr2205.html#abs-2205-00666

Sanghyun Yoo Inchul Song Yoshua Bengio A Highly Adaptive Acoustic Model for Accurate Multi-Dialect Speech Recognition. 2022 abs/2205.03027 CoRR https://doi.org/10.48550/arXiv.2205.03027 db/journals/corr/corr2205.html#abs-2205-03027

Mike He Zhu Léna Néhale Ezzine Dianbo Liu Yoshua Bengio FedILC: Weighted Geometric Mean and Invariant Gradient Covariance for Federated Learning on Non-IID Data. 2022 abs/2205.09305 CoRR https://doi.org/10.48550/arXiv.2205.09305 db/journals/corr/corr2205.html#abs-2205-09305

Dianbo Liu Vedant Shah Oussama Boussif Cristian Meo Anirudh Goyal Tianmin Shu Michael Mozer Nicolas Heess Yoshua Bengio Coordinating Policies Among Multiple Agents via an Intelligent Communication Channel. 2022 abs/2205.10607 CoRR https://doi.org/10.48550/arXiv.2205.10607 db/journals/corr/corr2205.html#abs-2205-10607

Sharut Gupta Kartik Ahuja Mohammad Havaei Niladri Chatterjee Yoshua Bengio FL Games: A federated learning framework for distribution shifts. 2022 abs/2205.11101 CoRR https://doi.org/10.48550/arXiv.2205.11101 db/journals/corr/corr2205.html#abs-2205-11101

Aniket Didolkar Kshitij Gupta Anirudh Goyal Alex Lamb Nan Rosemary Ke Yoshua Bengio Temporal Latent Bottleneck: Synthesis of Fast and Slow Processing Mechanisms in Sequence Learning. 2022 abs/2205.14794 CoRR https://doi.org/10.48550/arXiv.2205.14794 db/journals/corr/corr2205.html#abs-2205-14794

Benjamin Scellier Siddhartha Mishra Yoshua Bengio Yann Ollivier Agnostic Physics-Driven Deep Learning. 2022 abs/2205.15021 CoRR https://doi.org/10.48550/arXiv.2205.15021 db/journals/corr/corr2205.html#abs-2205-15021

Kartik Ahuja Jason S. Hartford Yoshua Bengio Weakly Supervised Representation Learning with Sparse Perturbations. 2022 abs/2206.01101 CoRR https://doi.org/10.48550/arXiv.2206.01101 db/journals/corr/corr2206.html#abs-2206-01101

Sarthak Mittal Yoshua Bengio Guillaume Lajoie Is a Modular Architecture Enough? 2022 abs/2206.02713 CoRR https://doi.org/10.48550/arXiv.2206.02713 db/journals/corr/corr2206.html#abs-2206-02713

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Alexandre Duval Victor Schmidt Santiago Miret Yoshua Bengio Alex Hernández-García David Rolnick PhAST: Physics-Aware, Scalable, and Task-specific GNNs for Accelerated Catalyst Design. 2022 abs/2211.12020 CoRR https://doi.org/10.48550/arXiv.2211.12020 db/journals/corr/corr2211.html#abs-2211-12020

Sébastien Lachapelle Tristan Deleu Divyat Mahajan Ioannis Mitliagkas Yoshua Bengio Simon Lacoste-Julien Quentin Bertrand Synergies Between Disentanglement and Sparsity: a Multi-Task Learning Perspective. 2022 abs/2211.14666 CoRR https://doi.org/10.48550/arXiv.2211.14666 db/journals/corr/corr2211.html#abs-2211-14666

Vikas Verma Sarthak Mittal Wai Hoh Tang Hieu Pham 0001 Juho Kannala Yoshua Bengio Arno Solin Kenji Kawaguchi MixupE: Understanding and Improving Mixup from Directional Derivative Perspective. 2022 abs/2212.13381 CoRR https://doi.org/10.48550/arXiv.2212.13381 db/journals/corr/corr2212.html#abs-2212-13381

Yoshua Bengio Yann LeCun Geoffrey E. Hinton Deep learning for AI. 58-65 2021 64 Commun. ACM 7 https://doi.org/10.1145/3448250 https://www.wikidata.org/entity/Q115188607 db/journals/cacm/cacm64.html#BengioLH21

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Yoshua Bengio Andrea Lodi 0001 Antoine Prouvost Machine learning for combinatorial optimization: A methodological tour d'horizon. 405-421 2021 290 Eur. J. Oper. Res. 2 https://doi.org/10.1016/j.ejor.2020.07.063 https://www.wikidata.org/entity/Q115188538 db/journals/eor/eor290.html#BengioLP21

Yoshua Bengio Daphne Ippolito Richard Janda Max Jarvie Benjamin Prud'homme Jean-Franois Rousseau Abhinav Sharma Yun William Yu Inherent privacy limitations of decentralized contact tracing apps. 193-195 2021 28 J. Am. Medical Informatics Assoc. 1 https://doi.org/10.1093/jamia/ocaa153 https://www.wikidata.org/entity/Q96693840 db/journals/jamia/jamia28.html#BengioIJJPRSY21

Bernhard Schölkopf Francesco Locatello Stefan Bauer Nan Rosemary Ke Nal Kalchbrenner Anirudh Goyal Yoshua Bengio Toward Causal Representation Learning. 612-634 2021 109 Proc. IEEE 5 https://doi.org/10.1109/JPROC.2021.3058954 https://www.wikidata.org/entity/Q115188596 db/journals/pieee/pieee109.html#ScholkopfLBKKGB21

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Tristan Sylvain Pengchuan Zhang Yoshua Bengio R. Devon Hjelm Shikhar Sharma 0001 Object-Centric Image Generation from Layouts. 2647-2655 2021 AAAI https://doi.org/10.1609/aaai.v35i3.16368 conf/aaai/2021 db/conf/aaai/aaai2021.html#SylvainZBH021 Giulia Zarpellon Jason Jo Andrea Lodi 0001 Yoshua Bengio Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies. 3931-3939 2021 AAAI https://doi.org/10.1609/aaai.v35i5.16512 conf/aaai/2021 db/conf/aaai/aaai2021.html#ZarpellonJ0B21 Tong Che Xiaofeng Liu 0001 Site Li Yubin Ge Ruixiang Zhang Caiming Xiong Yoshua Bengio Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models. 7002-7010 2021 AAAI https://doi.org/10.1609/aaai.v35i8.16862 conf/aaai/2021 db/conf/aaai/aaai2021.html#Che0LGZXB21 Taesup Kim Sungwoong Kim Yoshua Bengio Visual Concept Reasoning Networks. 8172-8180 2021 AAAI https://doi.org/10.1609/aaai.v35i9.16995 conf/aaai/2021 db/conf/aaai/aaai2021.html#KimKB21 Boris N. 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Axel Laborieux Maxence Ernoult Benjamin Scellier Yoshua Bengio Julie Grollier Damien Querlioz Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing its Gradient Estimator Bias. 2021 abs/2101.05536 CoRR https://arxiv.org/abs/2101.05536 db/journals/corr/corr2101.html#abs-2101-05536

Tristan Deleu Yoshua Bengio Structured Sparsity Inducing Adaptive Optimizers for Deep Learning. 2021 abs/2102.03869 CoRR https://arxiv.org/abs/2102.03869 db/journals/corr/corr2102.html#abs-2102-03869

Moksh Jain Salem Lahlou Hadi Nekoei Victor Butoi Paul Bertin Jarrid Rector-Brooks Maksym Korablyov Yoshua Bengio DEUP: Direct Epistemic Uncertainty Prediction. 2021 abs/2102.08501 CoRR https://arxiv.org/abs/2102.08501 db/journals/corr/corr2102.html#abs-2102-08501

Minkai Xu Shitong Luo Yoshua Bengio Jian Peng 0001 Jian Tang 0005 Learning Neural Generative Dynamics for Molecular Conformation Generation. 2021 abs/2102.10240 CoRR https://arxiv.org/abs/2102.10240 db/journals/corr/corr2102.html#abs-2102-10240

Bernhard Schölkopf Francesco Locatello Stefan Bauer Nan Rosemary Ke Nal Kalchbrenner Anirudh Goyal Yoshua Bengio Towards Causal Representation Learning. 2021 abs/2102.11107 CoRR https://arxiv.org/abs/2102.11107 db/journals/corr/corr2102.html#abs-2102-11107

Alex Lamb Di He 0001 Anirudh Goyal Guolin Ke Chien-Feng Liao Mirco Ravanelli Yoshua Bengio Transformers with Competitive Ensembles of Independent Mechanisms. 2021 abs/2103.00336 CoRR https://arxiv.org/abs/2103.00336 db/journals/corr/corr2103.html#abs-2103-00336

Anirudh Goyal Aniket Didolkar Alex Lamb Kartikeya Badola Nan Rosemary Ke Nasim Rahaman Jonathan Binas Charles Blundell Michael Mozer Yoshua Bengio Coordination Among Neural Modules Through a Shared Global Workspace. 2021 abs/2103.01197 CoRR https://arxiv.org/abs/2103.01197 db/journals/corr/corr2103.html#abs-2103-01197

Anirudh Goyal Aniket Didolkar Nan Rosemary Ke Charles Blundell Philippe Beaudoin Nicolas Heess Michael Mozer Yoshua Bengio Neural Production Systems. 2021 abs/2103.01937 CoRR https://arxiv.org/abs/2103.01937 db/journals/corr/corr2103.html#abs-2103-01937

Olawale Onabola Zhuang Ma Yang Xie Benjamin Akera Abdulrahman Ibraheem Jia Xue Dianbo Liu Yoshua Bengio hBert + BiasCorp - Fighting Racism on the Web. 2021 abs/2104.02242 CoRR https://arxiv.org/abs/2104.02242 db/journals/corr/corr2104.html#abs-2104-02242

François St-Hilaire Nathan Burns Robert Belfer Muhammad Shayan Ariella Smofsky Dung Do Vu Antoine Frau Joseph Potochny Farid Faraji Vincent Pavero Neroli Ko Ansona Onyi Ching Sabina Elkins Anush Stepanyan Adela Matajova Laurent Charlin Yoshua Bengio Iulian Vlad Serban Ekaterina Kochmar Comparative Study of Learning Outcomes for Online Learning Platforms. 2021 abs/2104.07763 CoRR https://arxiv.org/abs/2104.07763 db/journals/corr/corr2104.html#abs-2104-07763

Minkai Xu Wujie Wang Shitong Luo Chence Shi Yoshua Bengio Rafael Gómez-Bombarelli Jian Tang 0005 An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming. 2021 abs/2105.07246 CoRR https://arxiv.org/abs/2105.07246 db/journals/corr/corr2105.html#abs-2105-07246

Kanika Madan Nan Rosemary Ke Anirudh Goyal Bernhard Schölkopf Yoshua Bengio Fast and Slow Learning of Recurrent Independent Mechanisms. 2021 abs/2105.08710 CoRR https://arxiv.org/abs/2105.08710 db/journals/corr/corr2105.html#abs-2105-08710

Mingde Zhao 0001 Zhen Liu 0019 Sitao Luan Shuyuan Zhang Doina Precup Yoshua Bengio A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning. 2021 abs/2106.02097 CoRR https://arxiv.org/abs/2106.02097 db/journals/corr/corr2106.html#abs-2106-02097

Emmanuel Bengio Moksh Jain Maksym Korablyov Doina Precup Yoshua Bengio Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation. 2021 abs/2106.04399 CoRR https://arxiv.org/abs/2106.04399 db/journals/corr/corr2106.html#abs-2106-04399

Mirco Ravanelli Titouan Parcollet Peter Plantinga Aku Rouhe Samuele Cornell Loren Lugosch Cem Subakan Nauman Dawalatabad Abdelwahab Heba Jianyuan Zhong Ju-Chieh Chou Sung-Lin Yeh Szu-Wei Fu Chien-Feng Liao Elena Rastorgueva François Grondin William Aris Hwidong Na Yan Gao 0016 Renato De Mori Yoshua Bengio SpeechBrain: A General-Purpose Speech Toolkit. 2021 abs/2106.04624 CoRR https://arxiv.org/abs/2106.04624 db/journals/corr/corr2106.html#abs-2106-04624

Kartik Ahuja Ethan Caballero Dinghuai Zhang Yoshua Bengio Ioannis Mitliagkas Irina Rish Invariance Principle Meets Information Bottleneck for Out-of-Distribution Generalization. 2021 abs/2106.06607 CoRR https://arxiv.org/abs/2106.06607 db/journals/corr/corr2106.html#abs-2106-06607

Yashas Annadani Jonas Rothfuss Alexandre Lacoste Nino Scherrer Anirudh Goyal Yoshua Bengio Stefan Bauer Variational Causal Networks: Approximate Bayesian Inference over Causal Structures. 2021 abs/2106.07635 CoRR https://arxiv.org/abs/2106.07635 db/journals/corr/corr2106.html#abs-2106-07635

Xu Ji Razvan Pascanu R. Devon Hjelm Andrea Vedaldi Balaji Lakshminarayanan Yoshua Bengio Predicting Unreliable Predictions by Shattering a Neural Network. 2021 abs/2106.08365 CoRR https://arxiv.org/abs/2106.08365 db/journals/corr/corr2106.html#abs-2106-08365

Kevin Xia 0001 Kai-Zhan Lee Yoshua Bengio Elias Bareinboim The Causal-Neural Connection: Expressiveness, Learnability, and Inference. 2021 abs/2107.00793 CoRR https://arxiv.org/abs/2107.00793 db/journals/corr/corr2107.html#abs-2107-00793

Nan Rosemary Ke Aniket Didolkar Sarthak Mittal Anirudh Goyal Guillaume Lajoie Stefan Bauer Danilo J. Rezende Yoshua Bengio Michael Mozer Christopher J. Pal Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning. 2021 abs/2107.00848 CoRR https://arxiv.org/abs/2107.00848 db/journals/corr/corr2107.html#abs-2107-00848

Dianbo Liu Alex Lamb Kenji Kawaguchi Anirudh Goyal Chen Sun 0007 Michael Curtis Mozer Yoshua Bengio Discrete-Valued Neural Communication. 2021 abs/2107.02367 CoRR https://arxiv.org/abs/2107.02367 db/journals/corr/corr2107.html#abs-2107-02367

Nino Scherrer Olexa Bilaniuk Yashas Annadani Anirudh Goyal Patrick Schwab Bernhard Schölkopf Michael C. Mozer Yoshua Bengio Stefan Bauer Nan Rosemary Ke Learning Neural Causal Models with Active Interventions. 2021 abs/2109.02429 CoRR https://arxiv.org/abs/2109.02429 db/journals/corr/corr2109.html#abs-2109-02429

Victor Schmidt Alexandra Sasha Luccioni Mélisande Teng Tianyu Zhang Alexia Reynaud Sunand Raghupathi Gautier Cosne Adrien Juraver Vahe Vardanyan Alex Hernández-García Yoshua Bengio ClimateGAN: Raising Climate Change Awareness by Generating Images of Floods. 2021 abs/2110.02871 CoRR https://arxiv.org/abs/2110.02871 db/journals/corr/corr2110.html#abs-2110-02871

Dinghuai Zhang Jie Fu 0001 Yoshua Bengio Aaron C. Courville Unifying Likelihood-free Inference with Black-box Sequence Design and Beyond. 2021 abs/2110.03372 CoRR https://arxiv.org/abs/2110.03372 db/journals/corr/corr2110.html#abs-2110-03372

Nasim Rahaman Muhammad Waleed Gondal Shruti Joshi Peter V. Gehler Yoshua Bengio Francesco Locatello Bernhard Schölkopf Dynamic Inference with Neural Interpreters. 2021 abs/2110.06399 CoRR https://arxiv.org/abs/2110.06399 db/journals/corr/corr2110.html#abs-2110-06399

Vijay Prakash Dwivedi Anh Tuan Luu Thomas Laurent 0001 Yoshua Bengio Xavier Bresson Graph Neural Networks with Learnable Structural and Positional Representations. 2021 abs/2110.07875 CoRR https://arxiv.org/abs/2110.07875 db/journals/corr/corr2110.html#abs-2110-07875

Sarthak Mittal Sharath Chandra Raparthy Irina Rish Yoshua Bengio Guillaume Lajoie Compositional Attention: Disentangling Search and Retrieval. 2021 abs/2110.09419 CoRR https://arxiv.org/abs/2110.09419 db/journals/corr/corr2110.html#abs-2110-09419

Max Morrison Rithesh Kumar Kundan Kumar Prem Seetharaman Aaron C. Courville Yoshua Bengio Chunked Autoregressive GAN for Conditional Waveform Synthesis. 2021 abs/2110.10139 CoRR https://arxiv.org/abs/2110.10139 db/journals/corr/corr2110.html#abs-2110-10139

Nicholas Roy Ingmar Posner Tim D. Barfoot Philippe Beaudoin Yoshua Bengio Jeannette Bohg Oliver Brock Isabelle Depatie Dieter Fox Daniel E. Koditschek Tomás Lozano-Pérez Vikash Mansinghka 0001 Christopher J. Pal Blake A. Richards Dorsa Sadigh Stefan Schaal Gaurav S. Sukhatme Denis Thérien Marc Toussaint Michiel van de Panne From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence. 2021 abs/2110.15245 CoRR https://arxiv.org/abs/2110.15245 db/journals/corr/corr2110.html#abs-2110-15245

Kartik Ahuja Jason S. Hartford Yoshua Bengio Properties from Mechanisms: An Equivariance Perspective on Identifiable Representation Learning. 2021 abs/2110.15796 CoRR https://arxiv.org/abs/2110.15796 db/journals/corr/corr2110.html#abs-2110-15796

Yoshua Bengio Tristan Deleu Edward J. Hu Salem Lahlou Mo Tiwari Emmanuel Bengio GFlowNet Foundations. 2021 abs/2111.09266 CoRR https://arxiv.org/abs/2111.09266 db/journals/corr/corr2111.html#abs-2111-09266

Mohammad Pezeshki Amartya Mitra Yoshua Bengio Guillaume Lajoie Multi-scale Feature Learning Dynamics: Insights for Double Descent. 2021 abs/2112.03215 CoRR https://arxiv.org/abs/2112.03215 db/journals/corr/corr2112.html#abs-2112-03215

Enoch Tetteh Joseph D. Viviano Yoshua Bengio David Krueger 0001 Joseph Paul Cohen Multi-Domain Balanced Sampling Improves Out-of-Distribution Generalization of Chest X-ray Pathology Prediction Models. 2021 abs/2112.13734 CoRR https://arxiv.org/abs/2112.13734 db/journals/corr/corr2112.html#abs-2112-13734

ByungIn Yoo Tristan Sylvain Yoshua Bengio Junmo Kim 0002 Joint Learning of Generative Translator and Classifier for Visually Similar Classes. 219160-219173 2020 8 IEEE Access https://doi.org/10.1109/ACCESS.2020.3042302 db/journals/access/access8.html#YooSBK20

Assya Trofimov Joseph Paul Cohen Yoshua Bengio Claude Perreault Sébastien Lemieux Factorized embeddings learns rich and biologically meaningful embedding spaces using factorized tensor decomposition. i417-i426 2020 36 Bioinform. Supplement-1 https://doi.org/10.1093/bioinformatics/btaa488 https://www.wikidata.org/entity/Q97542383 db/journals/bioinformatics/bioinformatics36.html#TrofimovCBPL20

Ian J. Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron C. Courville Yoshua Bengio Generative adversarial networks. 139-144 2020 63 Commun. ACM 11 https://doi.org/10.1145/3422622 https://www.wikidata.org/entity/Q131163472 db/journals/cacm/cacm63.html#GoodfellowPMXWO20

Iulian Vlad Serban Chinnadhurai Sankar Michael Pieper Joelle Pineau Yoshua Bengio The Bottleneck Simulator: A Model-Based Deep Reinforcement Learning Approach. 571-612 2020 69 J. Artif. Intell. Res. https://doi.org/10.1613/jair.1.12463 db/journals/jair/jair69.html#SerbanSPPB20

Sharon Zhou Alexandra Luccioni Gautier Cosne Michael S. Bernstein Yoshua Bengio Establishing an evaluation metric to quantify climate change image realism. 25005 2020 1 Mach. Learn. Sci. Technol. 2 https://doi.org/10.1088/2632-2153/ab7657 db/journals/mlst/mlst1.html#ZhouLCBB20

Shagun Sodhani Sarath Chandar Yoshua Bengio Toward Training Recurrent Neural Networks for Lifelong Learning. 1-35 2020 32 Neural Comput. 1 https://doi.org/10.1162/neco_a_01246 https://www.wikidata.org/entity/Q91189938 db/journals/neco/neco32.html#SodhaniCB20

Alexandra Luccioni Yoshua Bengio On the Morality of Artificial Intelligence [Commentary]. 16-25 2020 39 IEEE Technol. Soc. Mag. 1 https://doi.org/10.1109/MTS.2020.2967486 db/journals/tasm/tasm39.html#LuccioniB20

Konrad Zolna Chitwan Saharia Léonard Boussioux David Yu-Tung Hui Maxime Chevalier-Boisvert Dzmitry Bahdanau Yoshua Bengio Combating False Negatives in Adversarial Imitation Learning (Student Abstract). 13999-14000 2020 AAAI https://doi.org/10.1609/aaai.v34i10.7272 conf/aaai/2020 db/conf/aaai/aaai2020.html#ZolnaSBHCBB20 Jacob L. Russin Jason Jo Randall C. O'Reilly Yoshua Bengio Compositional Generalization by Factorizing Alignment and Translation. 313-327 2020 ACL (student) https://doi.org/10.18653/v1/2020.acl-srw.42 https://aclanthology.org/2020.acl-srw.42/ conf/acl/2020-s db/conf/acl/acl2020-s.html#RussinJOB20 Wenyu Du Zhouhan Lin Yikang Shen Timothy J. 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Travis LaCroix Yoshua Bengio Learning from Learning Machines: Optimisation, Rules, and Social Norms. 2020 abs/2001.00006 CoRR http://arxiv.org/abs/2001.00006 db/journals/corr/corr2001.html#abs-2001-00006

Chen Ma Dylan R. Ashley Junfeng Wen Yoshua Bengio Universal Successor Features for Transfer Reinforcement Learning. 2020 abs/2001.04025 CoRR https://arxiv.org/abs/2001.04025 db/journals/corr/corr2001.html#abs-2001-04025

Mirco Ravanelli Jianyuan Zhong Santiago Pascual Pawel Swietojanski João Monteiro 0002 Jan Trmal Yoshua Bengio Multi-task self-supervised learning for Robust Speech Recognition. 2020 abs/2001.09239 CoRR https://arxiv.org/abs/2001.09239 db/journals/corr/corr2001.html#abs-2001-09239

Gautier Cosne Adrien Juraver Mélisande Teng Victor Schmidt Vahe Vardanyan Alexandra Luccioni Yoshua Bengio Using Simulated Data to Generate Images of Climate Change. 2020 abs/2001.09531 CoRR https://arxiv.org/abs/2001.09531 db/journals/corr/corr2001.html#abs-2001-09531

Boris N. Oreshkin Dmitri Carpov Nicolas Chapados Yoshua Bengio Meta-learning framework with applications to zero-shot time-series forecasting. 2020 abs/2002.02887 CoRR https://arxiv.org/abs/2002.02887 db/journals/corr/corr2002.html#abs-2002-02887

Milos Nikolic 0002 Ghouthi Boukli Hacene Ciaran Bannon Alberto Delmas Lascorz Matthieu Courbariaux Yoshua Bengio Vincent Gripon Andreas Moshovos BitPruning: Learning Bitlengths for Aggressive and Accurate Quantization. 2020 abs/2002.03090 CoRR https://arxiv.org/abs/2002.03090 db/journals/corr/corr2002.html#abs-2002-03090

Giulia Zarpellon Jason Jo Andrea Lodi 0001 Yoshua Bengio Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies. 2020 abs/2002.05120 CoRR https://arxiv.org/abs/2002.05120 db/journals/corr/corr2002.html#abs-2002-05120

Michel Deudon Alfredo Kalaitzis Israel Goytom Md Rifat Arefin Zhichao Lin Kris Sankaran Vincent Michalski Samira Ebrahimi Kahou Julien Cornebise Yoshua Bengio HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery. 2020 abs/2002.06460 CoRR https://arxiv.org/abs/2002.06460 db/journals/corr/corr2002.html#abs-2002-06460

Devansh Arpit Huan Wang 0016 Caiming Xiong Richard Socher Yoshua Bengio Neural Bayes: A Generic Parameterization Method for Unsupervised Representation Learning. 2020 abs/2002.09046 CoRR https://arxiv.org/abs/2002.09046 db/journals/corr/corr2002.html#abs-2002-09046

William Fedus Dibya Ghosh John D. Martin Marc G. Bellemare Yoshua Bengio Hugo Larochelle On Catastrophic Interference in Atari 2600 Games. 2020 abs/2002.12499 CoRR https://arxiv.org/abs/2002.12499 db/journals/corr/corr2002.html#abs-2002-12499

Vijay Prakash Dwivedi Chaitanya K. Joshi Thomas Laurent 0001 Yoshua Bengio Xavier Bresson Benchmarking Graph Neural Networks. 2020 abs/2003.00982 CoRR https://arxiv.org/abs/2003.00982 db/journals/corr/corr2003.html#abs-2003-00982

Qicheng Lao Xiang Jiang 0001 Mohammad Havaei Yoshua Bengio Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay. 2020 abs/2003.04382 CoRR https://arxiv.org/abs/2003.04382 db/journals/corr/corr2003.html#abs-2003-04382

Tong Che Ruixiang Zhang Jascha Sohl-Dickstein Hugo Larochelle Liam Paull Yuan Cao Yoshua Bengio Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling. 2020 abs/2003.06060 CoRR https://arxiv.org/abs/2003.06060 db/journals/corr/corr2003.html#abs-2003-06060

Tristan Sylvain Pengchuan Zhang Yoshua Bengio R. Devon Hjelm Shikhar Sharma 0001 Object-Centric Image Generation from Layouts. 2020 abs/2003.07449 CoRR https://arxiv.org/abs/2003.07449 db/journals/corr/corr2003.html#abs-2003-07449

Miles Brundage Shahar Avin Jasmine Wang Haydn Belfield Gretchen Krueger Gillian K. Hadfield Heidy Khlaaf Jingying Yang Helen Toner Ruth Fong Tegan Maharaj Pang Wei Koh Sara Hooker Jade Leung Andrew Trask Emma Bluemke Jonathan Lebensold Cullen O'Keefe Mark Koren Théo Ryffel J. B. Rubinovitz Tamay Besiroglu Federica Carugati Jack Clark Peter Eckersley Sarah de Haas Maritza Johnson Ben Laurie Alex Ingerman Igor Krawczuk Amanda Askell Rosario Cammarota Andrew Lohn David Krueger 0001 Charlotte Stix Peter Henderson 0002 Logan Graham Carina Prunkl Bianca Martin Elizabeth Seger Noa Zilberman Seán Ó hÉigeartaigh Frens Kroeger Girish Sastry Rebecca Kagan Adrian Weller Brian Tse Elizabeth Barnes Allan Dafoe Paul Scharre Ariel Herbert-Voss Martijn Rasser Shagun Sodhani Carrick Flynn Thomas Krendl Gilbert Lisa Dyer Saif M. Khan Yoshua Bengio Markus Anderljung Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims. 2020 abs/2004.07213 CoRR https://arxiv.org/abs/2004.07213 db/journals/corr/corr2004.html#abs-2004-07213

Yonatan Bisk Ari Holtzman Jesse Thomason Jacob Andreas Yoshua Bengio Joyce Chai Mirella Lapata Angeliki Lazaridou Jonathan May Aleksandr Nisnevich Nicolas Pinto Joseph P. Turian Experience Grounds Language. 2020 abs/2004.10151 CoRR https://arxiv.org/abs/2004.10151 db/journals/corr/corr2004.html#abs-2004-10151

Anirudh Goyal Yoshua Bengio Matthew M. Botvinick Sergey Levine The Variational Bandwidth Bottleneck: Stochastic Evaluation on an Information Budget. 2020 abs/2004.11935 CoRR https://arxiv.org/abs/2004.11935 db/journals/corr/corr2004.html#abs-2004-11935

Sai Krishna Gottipati Boris Sattarov Sufeng Niu Yashaswi Pathak Haoran Wei Shengchao Liu Karam M. J. Thomas Simon Blackburn Connor W. Coley Jian Tang 0005 Sarath Chandar Yoshua Bengio Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning. 2020 abs/2004.12485 CoRR https://arxiv.org/abs/2004.12485 db/journals/corr/corr2004.html#abs-2004-12485

Timo Milbich Karsten Roth Homanga Bharadhwaj Samarth Sinha Yoshua Bengio Björn Ommer Joseph Paul Cohen DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning. 2020 abs/2004.13458 CoRR https://arxiv.org/abs/2004.13458 db/journals/corr/corr2004.html#abs-2004-13458

Maxence Ernoult Julie Grollier Damien Querlioz Yoshua Bengio Benjamin Scellier Equilibrium Propagation with Continual Weight Updates. 2020 abs/2005.04168 CoRR https://arxiv.org/abs/2005.04168 db/journals/corr/corr2005.html#abs-2005-04168

Maxence Ernoult Julie Grollier Damien Querlioz Yoshua Bengio Benjamin Scellier Continual Weight Updates and Convolutional Architectures for Equilibrium Propagation. 2020 abs/2005.04169 CoRR https://arxiv.org/abs/2005.04169 db/journals/corr/corr2005.html#abs-2005-04169

Wenyu Du Zhouhan Lin Yikang Shen Timothy J. O'Donnell Yoshua Bengio Yue Zhang 0004 Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach. 2020 abs/2005.05864 CoRR https://arxiv.org/abs/2005.05864 db/journals/corr/corr2005.html#abs-2005-05864

Iulian Vlad Serban Varun Gupta Ekaterina Kochmar Dung Do Vu Robert Belfer Joelle Pineau Aaron C. Courville Laurent Charlin Yoshua Bengio A Large-Scale, Open-Domain, Mixed-Interface Dialogue-Based ITS for STEM. 2020 abs/2005.06616 CoRR https://arxiv.org/abs/2005.06616 db/journals/corr/corr2005.html#abs-2005-06616

Hannah Alsdurf Yoshua Bengio Tristan Deleu Prateek Gupta Daphne Ippolito Richard Janda Max Jarvie Tyler Kolody Sekoul Krastev Tegan Maharaj Robert Obryk Dan Pilat Valerie Pisano Benjamin Prud'homme Meng Qu Nasim Rahaman Irina Rish Jean-Franois Rousseau Abhinav Sharma Brooke Struck Jian Tang 0005 Martin Weiss Yun William Yu COVI White Paper. 2020 abs/2005.08502 CoRR https://arxiv.org/abs/2005.08502 db/journals/corr/corr2005.html#abs-2005-08502

Rémi Le Priol Reza Babanezhad Harikandeh Yoshua Bengio Simon Lacoste-Julien An Analysis of the Adaptation Speed of Causal Models. 2020 abs/2005.09136 CoRR https://arxiv.org/abs/2005.09136 db/journals/corr/corr2005.html#abs-2005-09136

Joseph Paul Cohen Lan Dao Paul Morrison Karsten Roth Yoshua Bengio Beiyi Shen Almas Abbasi Mahsa Hoshmand-Kochi Marzyeh Ghassemi Haifang Li Tim Q. Duong Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning. 2020 abs/2005.11856 CoRR https://arxiv.org/abs/2005.11856 db/journals/corr/corr2005.html#abs-2005-11856

Jack D. Kendall Ross D. Pantone Kalpana Manickavasagam Yoshua Bengio Benjamin Scellier Training End-to-End Analog Neural Networks with Equilibrium Propagation. 2020 abs/2006.01981 CoRR https://arxiv.org/abs/2006.01981 db/journals/corr/corr2006.html#abs-2006-01981

Axel Laborieux Maxence Ernoult Benjamin Scellier Yoshua Bengio Julie Grollier Damien Querlioz Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing its Gradient Estimator Bias. 2020 abs/2006.03824 CoRR https://arxiv.org/abs/2006.03824 db/journals/corr/corr2006.html#abs-2006-03824

Khurram Javed Martha White Yoshua Bengio Learning Causal Models Online. 2020 abs/2006.07461 CoRR https://arxiv.org/abs/2006.07461 db/journals/corr/corr2006.html#abs-2006-07461

Giancarlo Kerg Bhargav Kanuparthi Anirudh Goyal Kyle Goyette Yoshua Bengio Guillaume Lajoie Untangling tradeoffs between recurrence and self-attention in neural networks. 2020 abs/2006.09471 CoRR https://arxiv.org/abs/2006.09471 db/journals/corr/corr2006.html#abs-2006-09471

Yihe Dong Will Sawin Yoshua Bengio HNHN: Hypergraph Networks with Hyperedge Neurons. 2020 abs/2006.12278 CoRR https://arxiv.org/abs/2006.12278 db/journals/corr/corr2006.html#abs-2006-12278

Matthew Amodio Rim Assouel Victor Schmidt Tristan Sylvain Smita Krishnaswamy Yoshua Bengio Image-to-image Mapping with Many Domains by Sparse Attribute Transfer. 2020 abs/2006.13291 CoRR https://arxiv.org/abs/2006.13291 db/journals/corr/corr2006.html#abs-2006-13291

Bo Li 0080 Yezhen Wang Tong Che Shanghang Zhang Sicheng Zhao Pengfei Xu 0013 Wei Zhou Yoshua Bengio Kurt Keutzer Rethinking Distributional Matching Based Domain Adaptation. 2020 abs/2006.13352 CoRR https://arxiv.org/abs/2006.13352 db/journals/corr/corr2006.html#abs-2006-13352

Prateek Gupta Maxime Gasse Elias B. Khalil M. Pawan Kumar Andrea Lodi 0001 Yoshua Bengio Hybrid Models for Learning to Branch. 2020 abs/2006.15212 CoRR https://arxiv.org/abs/2006.15212 db/journals/corr/corr2006.html#abs-2006-15212

Anirudh Goyal Alex Lamb Phanideep Gampa Philippe Beaudoin Sergey Levine Charles Blundell Yoshua Bengio Michael Mozer Object Files and Schemata: Factorizing Declarative and Procedural Knowledge in Dynamical Systems. 2020 abs/2006.16225 CoRR https://arxiv.org/abs/2006.16225 db/journals/corr/corr2006.html#abs-2006-16225

Sarthak Mittal Alex Lamb Anirudh Goyal Vikram Voleti Murray Shanahan Guillaume Lajoie Michael Mozer Yoshua Bengio Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules. 2020 abs/2006.16981 CoRR https://arxiv.org/abs/2006.16981 db/journals/corr/corr2006.html#abs-2006-16981

Nasim Rahaman Anirudh Goyal Muhammad Waleed Gondal Manuel Wuthrich Stefan Bauer Yash Sharma 0001 Yoshua Bengio Bernhard Schölkopf S2RMs: Spatially Structured Recurrent Modules. 2020 abs/2007.06533 CoRR https://arxiv.org/abs/2007.06533 db/journals/corr/corr2007.html#abs-2007-06533

William Fedus Prajit Ramachandran Rishabh Agarwal Yoshua Bengio Hugo Larochelle Mark Rowland 0001 Will Dabney Revisiting Fundamentals of Experience Replay. 2020 abs/2007.06700 CoRR https://arxiv.org/abs/2007.06700 db/journals/corr/corr2007.html#abs-2007-06700

David Yu-Tung Hui Maxime Chevalier-Boisvert Dzmitry Bahdanau Yoshua Bengio BabyAI 1.1. 2020 abs/2007.12770 CoRR https://arxiv.org/abs/2007.12770 db/journals/corr/corr2007.html#abs-2007-12770

Yoshua Bengio Deriving Differential Target Propagation from Iterating Approximate Inverses. 2020 abs/2007.15139 CoRR https://arxiv.org/abs/2007.15139 db/journals/corr/corr2007.html#abs-2007-15139

Lucas Willems Salem Lahlou Yoshua Bengio Mastering Rate based Curriculum Learning. 2020 abs/2008.06456 CoRR https://arxiv.org/abs/2008.06456 db/journals/corr/corr2008.html#abs-2008-06456

Taesup Kim Sungwoong Kim Yoshua Bengio Visual Concept Reasoning Networks. 2020 abs/2008.11783 CoRR https://arxiv.org/abs/2008.11783 db/journals/corr/corr2008.html#abs-2008-11783

Meng Qu Jun-Kun Chen Louis-Pascal A. C. Xhonneux Yoshua Bengio Jian Tang 0005 RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs. 2020 abs/2010.04029 CoRR https://arxiv.org/abs/2010.04029 db/journals/corr/corr2010.html#abs-2010-04029

Ossama Ahmed Frederik Träuble Anirudh Goyal Alexander Neitz Manuel Wüthrich Yoshua Bengio Bernhard Schölkopf Stefan Bauer CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning. 2020 abs/2010.04296 CoRR https://arxiv.org/abs/2010.04296 db/journals/corr/corr2010.html#abs-2010-04296

Alex Lamb Anirudh Goyal Agnieszka Slowik Michael Mozer Philippe Beaudoin Yoshua Bengio Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across Layers. 2020 abs/2010.08012 CoRR https://arxiv.org/abs/2010.08012 db/journals/corr/corr2010.html#abs-2010-08012

Tristan Sylvain Francis Dutil Tess Berthier Lisa Di-Jorio Margaux Luck R. Devon Hjelm Yoshua Bengio Cross-Modal Information Maximization for Medical Imaging: CMIM. 2020 abs/2010.10593 CoRR https://arxiv.org/abs/2010.10593 db/journals/corr/corr2010.html#abs-2010-10593

Rithesh Kumar Kundan Kumar Vicki Anand Yoshua Bengio Aaron C. Courville NU-GAN: High resolution neural upsampling with GAN. 2020 abs/2010.11362 CoRR https://arxiv.org/abs/2010.11362 db/journals/corr/corr2010.html#abs-2010-11362

Yoshua Bengio Prateek Gupta Tegan Maharaj Nasim Rahaman Martin Weiss Tristan Deleu Eilif B. Müller Meng Qu Victor Schmidt Pierre-Luc St-Charles Hannah Alsdurf Olexa Bilaniuk David L. Buckeridge Gaétan Marceau Caron Pierre Luc Carrier Joumana Ghosn Satya Ortiz-Gagne Chris Pal Irina Rish Bernhard Schölkopf Abhinav Sharma Jian Tang 0005 Andrew Williams 0008 Predicting Infectiousness for Proactive Contact Tracing. 2020 abs/2010.12536 CoRR https://arxiv.org/abs/2010.12536 db/journals/corr/corr2010.html#abs-2010-12536

Prateek Gupta Tegan Maharaj Martin Weiss Nasim Rahaman Hannah Alsdurf Abhinav Sharma Nanor Minoyan Soren Harnois-Leblanc Victor Schmidt Pierre-Luc St-Charles Tristan Deleu Andrew Williams 0008 Akshay Patel Meng Qu Olexa Bilaniuk Gaétan Marceau Caron Pierre Luc Carrier Satya Ortiz-Gagné Marc-Andre Rousseau David L. Buckeridge Joumana Ghosn Yang Zhang Bernhard Schölkopf Jian Tang 0005 Irina Rish Christopher Joseph Pal Joanna Merckx Eilif B. Müller Yoshua Bengio COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing. 2020 abs/2010.16004 CoRR https://arxiv.org/abs/2010.16004 db/journals/corr/corr2010.html#abs-2010-16004

Mohammad Pezeshki Sékou-Oumar Kaba Yoshua Bengio Aaron C. Courville Doina Precup Guillaume Lajoie Gradient Starvation: A Learning Proclivity in Neural Networks. 2020 abs/2011.09468 CoRR https://arxiv.org/abs/2011.09468 db/journals/corr/corr2011.html#abs-2011-09468

Cheng-Hao Liu Maksym Korablyov Stanislaw Jastrzebski Pawel Wlodarczyk-Pruszynski Yoshua Bengio Marwin H. S. Segler RetroGNN: Approximating Retrosynthesis by Graph Neural Networks for De Novo Drug Design. 2020 abs/2011.13042 CoRR https://arxiv.org/abs/2011.13042 db/journals/corr/corr2011.html#abs-2011-13042

Anirudh Goyal Yoshua Bengio Inductive Biases for Deep Learning of Higher-Level Cognition. 2020 abs/2011.15091 CoRR https://arxiv.org/abs/2011.15091 db/journals/corr/corr2011.html#abs-2011-15091

Shimaa Baraka Benjamin Akera Bibek Aryal Tenzing Chogyal Sherpa Finu Shresta Anthony Ortiz Kris Sankaran Juan M. Lavista Ferres Mir Matin Yoshua Bengio Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya. 2020 abs/2012.05013 CoRR https://arxiv.org/abs/2012.05013 db/journals/corr/corr2012.html#abs-2012-05013

Benjamin Scellier Yoshua Bengio Equivalence of Equilibrium Propagation and Recurrent Backpropagation. 2019 31 Neural Comput. 2 https://doi.org/10.1162/neco_a_01160 https://www.wikidata.org/entity/Q90701059 db/journals/neco/neco31.html#ScellierB19

Li Jing 0001 Çaglar Gülçehre John Peurifoy Yichen Shen 0001 Max Tegmark Marin Soljacic Yoshua Bengio Gated Orthogonal Recurrent Units: On Learning to Forget. 2019 31 Neural Comput. 4 https://doi.org/10.1162/neco_a_01174 https://www.wikidata.org/entity/Q91588964 db/journals/neco/neco31.html#JingGPSTSB19

Kenji Kawaguchi Yoshua Bengio Depth with nonlinearity creates no bad local minima in ResNets. 167-174 2019 118 Neural Networks https://doi.org/10.1016/j.neunet.2019.06.009 https://www.wikidata.org/entity/Q91800151 db/journals/nn/nn118.html#KawaguchiB19

Sarath Chandar Chinnadhurai Sankar Eugene Vorontsov Samira Ebrahimi Kahou Yoshua Bengio Towards Non-Saturating Recurrent Units for Modelling Long-Term Dependencies. 3280-3287 2019 AAAI https://doi.org/10.1609/aaai.v33i01.33013280 conf/aaai/2019 db/conf/aaai/aaai2019.html#ChandarSVKB19 Vincent François-Lavet Yoshua Bengio Doina Precup Joelle Pineau Combined Reinforcement Learning via Abstract Representations. 3582-3589 2019 AAAI https://doi.org/10.1609/aaai.v33i01.33013582 conf/aaai/2019 db/conf/aaai/aaai2019.html#Francois-LavetB19 Chinnadhurai Sankar Sandeep Subramanian Chris Pal Sarath Chandar Yoshua Bengio Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study. 32-37 2019 ACL (1) https://doi.org/10.18653/v1/p19-1004 https://aclanthology.org/P19-1004/ conf/acl/2019-1 db/conf/acl/acl2019-1.html#SankarSPCB19 Alex Lamb Vikas Verma Juho Kannala Yoshua Bengio Interpolated Adversarial Training: Achieving Robust Neural Networks Without Sacrificing Too Much Accuracy. 95-103 2019 AISec@CCS https://doi.org/10.1145/3338501.3357369 conf/ccs/2019aisec db/conf/ccs/aisec2019.html#LambVKB19 Xingdi Yuan Marc-Alexandre Côté Jie Fu 0001 Zhouhan Lin Chris Pal Yoshua Bengio Adam Trischler Interactive Language Learning by Question Answering. 2796-2813 2019 EMNLP/IJCNLP (1) https://doi.org/10.18653/v1/D19-1280 conf/emnlp/2019-1 db/conf/emnlp/emnlp2019-1.html#YuanCFLPBT19 Jessica A. F. Thompson Marc Schönwiesner Yoshua Bengio Daniel Willett How Transferable Are Features in Convolutional Neural Network Acoustic Models across Languages? 2827-2831 2019 ICASSP https://doi.org/10.1109/ICASSP.2019.8683043 https://www.wikidata.org/entity/Q131457540 conf/icassp/2019 db/conf/icassp/icassp2019.html#ThompsonSBW19 Sanghyun Yoo Inchul Song Yoshua Bengio A Highly Adaptive Acoustic Model for Accurate Multi-dialect Speech Recognition. 5716-5720 2019 ICASSP https://doi.org/10.1109/ICASSP.2019.8683705 conf/icassp/2019 db/conf/icassp/icassp2019.html#YooSB19 Kyle Kastner João Felipe Santos Yoshua Bengio Aaron C. Courville Representation Mixing for TTS Synthesis. 5906-5910 2019 ICASSP https://doi.org/10.1109/ICASSP.2019.8682880 conf/icassp/2019 db/conf/icassp/icassp2019.html#KastnerSBC19 Mirco Ravanelli Titouan Parcollet Yoshua Bengio The Pytorch-kaldi Speech Recognition Toolkit. 6465-6469 2019 ICASSP https://doi.org/10.1109/ICASSP.2019.8683713 conf/icassp/2019 db/conf/icassp/icassp2019.html#RavanelliPB19 Md Mahfuzur Rahman Siddiquee Zongwei Zhou Nima Tajbakhsh Ruibin Feng Michael B. Gotway Yoshua Bengio Jianming Liang Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization. 191-200 2019 ICCV https://doi.org/10.1109/ICCV.2019.00028 https://www.wikidata.org/entity/Q96953305 conf/iccv/2019 db/conf/iccv/iccv2019.html#SiddiqueeZTFGBL19 Alaaeldin El-Nouby Shikhar Sharma 0001 Hannes Schulz R. Devon Hjelm Layla El Asri Samira Ebrahimi Kahou Yoshua Bengio Graham W. Taylor Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction. 10303-10311 2019 ICCV https://doi.org/10.1109/ICCV.2019.01040 conf/iccv/2019 db/conf/iccv/iccv2019.html#El-NoubySSHAKBT19 Maxime Chevalier-Boisvert Dzmitry Bahdanau Salem Lahlou Lucas Willems Chitwan Saharia Thien Huu Nguyen Yoshua Bengio BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning. 2019 ICLR (Poster) https://openreview.net/forum?id=rJeXCo0cYX conf/iclr/2019 db/conf/iclr/iclr2019.html#Chevalier-Boisvert19 Ali Farshchian Juan Alvaro Gallego Joseph Paul Cohen Yoshua Bengio Lee E. Miller Sara A. Solla Adversarial Domain Adaptation for Stable Brain-Machine Interfaces. 2019 ICLR (Poster) https://openreview.net/forum?id=Hyx6Bi0qYm conf/iclr/2019 db/conf/iclr/iclr2019.html#FarshchianGCBMS19 Anirudh Goyal Philemon Brakel William Fedus Soumye Singhal Timothy P. Lillicrap Sergey Levine Hugo Larochelle Yoshua Bengio Recall Traces: Backtracking Models for Efficient Reinforcement Learning. 2019 ICLR (Poster) https://openreview.net/forum?id=HygsfnR9Ym conf/iclr/2019 db/conf/iclr/iclr2019.html#GoyalBFSLLLB19 Anirudh Goyal Riashat Islam Daniel Strouse Zafarali Ahmed Hugo Larochelle Matthew M. Botvinick Yoshua Bengio Sergey Levine InfoBot: Transfer and Exploration via the Information Bottleneck. 2019 ICLR (Poster) https://openreview.net/forum?id=rJg8yhAqKm conf/iclr/2019 db/conf/iclr/iclr2019.html#GoyalISALBBL19 R. Devon Hjelm Alex Fedorov Samuel Lavoie-Marchildon Karan Grewal Philip Bachman Adam Trischler Yoshua Bengio Learning deep representations by mutual information estimation and maximization. 2019 ICLR https://openreview.net/forum?id=Bklr3j0cKX conf/iclr/2019 db/conf/iclr/iclr2019.html#HjelmFLGBTB19 Stanislaw Jastrzebski Zachary Kenton Nicolas Ballas Asja Fischer Yoshua Bengio Amos J. Storkey On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length. 2019 ICLR (Poster) https://openreview.net/forum?id=SkgEaj05t7 conf/iclr/2019 db/conf/iclr/iclr2019.html#JastrzebskiKBFB19 Bhargav Kanuparthi Devansh Arpit Giancarlo Kerg Nan Rosemary Ke Ioannis Mitliagkas Yoshua Bengio h-detach: Modifying the LSTM Gradient Towards Better Optimization. 2019 ICLR (Poster) https://openreview.net/forum?id=ryf7ioRqFX conf/iclr/2019 db/conf/iclr/iclr2019.html#KanuparthiAKKMB19 Nan Rosemary Ke Amanpreet Singh Ahmed Touati Anirudh Goyal Yoshua Bengio Devi Parikh Dhruv Batra Modeling the Long Term Future in Model-Based Reinforcement Learning. 2019 ICLR (Poster) https://openreview.net/forum?id=SkgQBn0cF7 conf/iclr/2019 db/conf/iclr/iclr2019.html#KeSTGBPB19 Titouan Parcollet Mirco Ravanelli Mohamed Morchid Georges Linarès Chiheb Trabelsi Renato De Mori Yoshua Bengio Quaternion Recurrent Neural Networks. 2019 ICLR (Poster) https://openreview.net/forum?id=ByMHvs0cFQ conf/iclr/2019 db/conf/iclr/iclr2019.html#ParcolletRMLTMB19 Alexandre Piché Valentin Thomas Cyril Ibrahim Yoshua Bengio Chris Pal Probabilistic Planning with Sequential Monte Carlo methods. 2019 ICLR (Poster) https://openreview.net/forum?id=ByetGn0cYX conf/iclr/2019 db/conf/iclr/iclr2019.html#PicheTIBP19 Mariya Toneva Alessandro Sordoni Remi Tachet des Combes Adam Trischler Yoshua Bengio Geoffrey J. Gordon An Empirical Study of Example Forgetting during Deep Neural Network Learning. 2019 ICLR (Poster) https://openreview.net/forum?id=BJlxm30cKm conf/iclr/2019 db/conf/iclr/iclr2019.html#TonevaSCTBG19 Petar Velickovic William Fedus William L. Hamilton Pietro Liò Yoshua Bengio R. Devon Hjelm Deep Graph Infomax. 2019 ICLR (Poster) https://openreview.net/forum?id=rklz9iAcKQ conf/iclr/2019 db/conf/iclr/iclr2019.html#VelickovicFHLBH19 Zijun Zhang Ruixiang Zhang Zongpeng Li Yoshua Bengio Liam Paull Perceptual Generative Autoencoders. 2019 DGS@ICLR https://openreview.net/forum?id=rkxkr8UKuN conf/iclr/2019dgs db/conf/iclr/dgs2019.html#ZhangZLBP19 Alex Lamb Jonathan Binas Anirudh Goyal Sandeep Subramanian Ioannis Mitliagkas Yoshua Bengio Michael Mozer State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations. 3622-3631 2019 ICML http://proceedings.mlr.press/v97/lamb19a.html conf/icml/2019 db/conf/icml/icml2019.html#LambBGSMBM19 Meng Qu Yoshua Bengio Jian Tang 0005 GMNN: Graph Markov Neural Networks. 5241-5250 2019 ICML http://proceedings.mlr.press/v97/qu19a.html conf/icml/2019 db/conf/icml/icml2019.html#QuBT19 Nasim Rahaman Aristide Baratin Devansh Arpit Felix Draxler Min Lin Fred A. Hamprecht Yoshua Bengio Aaron C. Courville On the Spectral Bias of Neural Networks. 5301-5310 2019 ICML http://proceedings.mlr.press/v97/rahaman19a.html conf/icml/2019 db/conf/icml/icml2019.html#RahamanBADLHBC19 Vikas Verma Alex Lamb Christopher Beckham Amir Najafi 0002 Ioannis Mitliagkas David Lopez-Paz Yoshua Bengio Manifold Mixup: Better Representations by Interpolating Hidden States. 6438-6447 2019 ICML http://proceedings.mlr.press/v97/verma19a.html conf/icml/2019 db/conf/icml/icml2019.html#VermaLBNMLB19 Homanga Bharadhwaj Zihan Wang Yoshua Bengio Liam Paull A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies. 782-788 2019 ICRA https://doi.org/10.1109/ICRA.2019.8794310 conf/icra/2019 db/conf/icra/icra2019.html#BharadhwajWBP19 Vikas Verma Alex Lamb Juho Kannala Yoshua Bengio David Lopez-Paz Interpolation Consistency Training for Semi-supervised Learning. 2019 IJCAI https://doi.org/10.24963/ijcai.2019/504 conf/ijcai/2019 db/conf/ijcai/ijcai2019.html#VermaLKBL19 3635-3641 Santiago Pascual Mirco Ravanelli Joan Serrà Antonio Bonafonte Yoshua Bengio Learning Problem-Agnostic Speech Representations from Multiple Self-Supervised Tasks. 161-165 2019 INTERSPEECH https://doi.org/10.21437/Interspeech.2019-2605 conf/interspeech/2019 db/conf/interspeech/interspeech2019.html#PascualRSBB19 Loren Lugosch Mirco Ravanelli Patrick Ignoto Vikrant Singh Tomar Yoshua Bengio Speech Model Pre-Training for End-to-End Spoken Language Understanding. 814-818 2019 INTERSPEECH https://doi.org/10.21437/Interspeech.2019-2396 conf/interspeech/2019 db/conf/interspeech/interspeech2019.html#LugoschRITB19 Mirco Ravanelli Yoshua Bengio Learning Speaker Representations with Mutual Information. 1153-1157 2019 INTERSPEECH https://doi.org/10.21437/Interspeech.2019-2380 conf/interspeech/2019 db/conf/interspeech/interspeech2019.html#RavanelliB19 Saeid Asgari Taghanaki Mohammad Havaei Tess Berthier Francis Dutil Lisa Di-Jorio Ghassan Hamarneh Yoshua Bengio InfoMask: Masked Variational Latent Representation to Localize Chest Disease. 739-747 2019 MICCAI (6) https://doi.org/10.1007/978-3-030-32226-7_82 conf/miccai/2019-6 db/conf/miccai/miccai2019-6.html#TaghanakiHBDDHB19 Christopher Beckham Sina Honari Vikas Verma Alex Lamb Farnoosh Ghadiri R. 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Devansh Arpit Yoshua Bengio The Benefits of Over-parameterization at Initialization in Deep ReLU Networks. 2019 abs/1901.03611 CoRR http://arxiv.org/abs/1901.03611 db/journals/corr/corr1901.html#abs-1901-03611

Rithesh Kumar Anirudh Goyal Aaron C. Courville Yoshua Bengio Maximum Entropy Generators for Energy-Based Models. 2019 abs/1901.08508 CoRR http://arxiv.org/abs/1901.08508 db/journals/corr/corr1901.html#abs-1901-08508

Anirudh Goyal Riashat Islam Daniel Strouse Zafarali Ahmed Matthew M. Botvinick Hugo Larochelle Sergey Levine Yoshua Bengio InfoBot: Transfer and Exploration via the Information Bottleneck. 2019 abs/1901.10902 CoRR http://arxiv.org/abs/1901.10902 db/journals/corr/corr1901.html#abs-1901-10902

Yoshua Bengio Tristan Deleu Nasim Rahaman Nan Rosemary Ke Sébastien Lachapelle Olexa Bilaniuk Anirudh Goyal Christopher J. Pal A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms. 2019 abs/1901.10912 CoRR http://arxiv.org/abs/1901.10912 db/journals/corr/corr1901.html#abs-1901-10912

Sarath Chandar Chinnadhurai Sankar Eugene Vorontsov Samira Ebrahimi Kahou Yoshua Bengio Towards Non-saturating Recurrent Units for Modelling Long-term Dependencies. 2019 abs/1902.06704 CoRR http://arxiv.org/abs/1902.06704 db/journals/corr/corr1902.html#abs-1902-06704

William Fedus Carles Gelada Yoshua Bengio Marc G. Bellemare Hugo Larochelle Hyperbolic Discounting and Learning over Multiple Horizons. 2019 abs/1902.06865 CoRR http://arxiv.org/abs/1902.06865 db/journals/corr/corr1902.html#abs-1902-06865

Nan Rosemary Ke Amanpreet Singh Ahmed Touati Anirudh Goyal Yoshua Bengio Devi Parikh Dhruv Batra Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future. 2019 abs/1903.01599 CoRR http://arxiv.org/abs/1903.01599 db/journals/corr/corr1903.html#abs-1903-01599

Vikas Verma Alex Lamb Juho Kannala Yoshua Bengio David Lopez-Paz Interpolation Consistency Training for Semi-Supervised Learning. 2019 abs/1903.03825 CoRR http://arxiv.org/abs/1903.03825 db/journals/corr/corr1903.html#abs-1903-03825

Rahaf Aljundi Min Lin Baptiste Goujaud Yoshua Bengio Online continual learning with no task boundaries. 2019 abs/1903.08671 CoRR http://arxiv.org/abs/1903.08671 db/journals/corr/corr1903.html#abs-1903-08671

Saeid Asgari Taghanaki Mohammad Havaei Tess Berthier Francis Dutil Lisa Di-Jorio Ghassan Hamarneh Yoshua Bengio InfoMask: Masked Variational Latent Representation to Localize Chest Disease. 2019 abs/1903.11741 CoRR http://arxiv.org/abs/1903.11741 db/journals/corr/corr1903.html#abs-1903-11741

Sherjil Ozair Corey Lynch Yoshua Bengio Aäron van den Oord Sergey Levine Pierre Sermanet Wasserstein Dependency Measure for Representation Learning. 2019 abs/1903.11780 CoRR http://arxiv.org/abs/1903.11780 db/journals/corr/corr1903.html#abs-1903-11780

Misha Benjamin Paul Gagnon Negar Rostamzadeh Chris Pal Yoshua Bengio Alex Shee Towards Standardization of Data Licenses: The Montreal Data License. 2019 abs/1903.12262 CoRR http://arxiv.org/abs/1903.12262 db/journals/corr/corr1903.html#abs-1903-12262

Santiago Pascual Mirco Ravanelli Joan Serrà Antonio Bonafonte Yoshua Bengio Learning Problem-agnostic Speech Representations from Multiple Self-supervised Tasks. 2019 abs/1904.03416 CoRR http://arxiv.org/abs/1904.03416 db/journals/corr/corr1904.html#abs-1904-03416

Konrad Zolna Negar Rostamzadeh Yoshua Bengio Sungjin Ahn Pedro O. Pinheiro Reinforced Imitation in Heterogeneous Action Space. 2019 abs/1904.03438 CoRR http://arxiv.org/abs/1904.03438 db/journals/corr/corr1904.html#abs-1904-03438

Loren Lugosch Mirco Ravanelli Patrick Ignoto Vikrant Singh Tomar Yoshua Bengio Speech Model Pre-training for End-to-End Spoken Language Understanding. 2019 abs/1904.03670 CoRR http://arxiv.org/abs/1904.03670 db/journals/corr/corr1904.html#abs-1904-03670

Becks Simpson Francis Dutil Yoshua Bengio Joseph Paul Cohen GradMask: Reduce Overfitting by Regularizing Saliency. 2019 abs/1904.07478 CoRR http://arxiv.org/abs/1904.07478 db/journals/corr/corr1904.html#abs-1904-07478

Jake Russin Jason Jo Randall C. O'Reilly Yoshua Bengio Compositional generalization in a deep seq2seq model by separating syntax and semantics. 2019 abs/1904.09708 CoRR http://arxiv.org/abs/1904.09708 db/journals/corr/corr1904.html#abs-1904-09708

Victor Schmidt Alexandra Luccioni S. Karthik Mukkavilli Narmada Balasooriya Kris Sankaran Jennifer T. Chayes Yoshua Bengio Visualizing the Consequences of Climate Change Using Cycle-Consistent Adversarial Networks. 2019 abs/1905.03709 CoRR http://arxiv.org/abs/1905.03709 db/journals/corr/corr1905.html#abs-1905-03709

Meng Qu Yoshua Bengio Jian Tang 0005 GMNN: Graph Markov Neural Networks. 2019 abs/1905.06214 CoRR http://arxiv.org/abs/1905.06214 db/journals/corr/corr1905.html#abs-1905-06214

Jonathan Binas Sherjil Ozair Yoshua Bengio The Journey is the Reward: Unsupervised Learning of Influential Trajectories. 2019 abs/1905.09334 CoRR http://arxiv.org/abs/1905.09334 db/journals/corr/corr1905.html#abs-1905-09334

Boris N. Oreshkin Dmitri Carpov Nicolas Chapados Yoshua Bengio N-BEATS: Neural basis expansion analysis for interpretable time series forecasting. 2019 abs/1905.10437 CoRR http://arxiv.org/abs/1905.10437 db/journals/corr/corr1905.html#abs-1905-10437

Alex Lamb Jonathan Binas Anirudh Goyal Sandeep Subramanian Ioannis Mitliagkas Denis Kazakov Yoshua Bengio Michael C. Mozer State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations. 2019 abs/1905.11382 CoRR http://arxiv.org/abs/1905.11382 db/journals/corr/corr1905.html#abs-1905-11382

Giancarlo Kerg Kyle Goyette Maximilian Puelma Touzel Gauthier Gidel Eugene Vorontsov Yoshua Bengio Guillaume Lajoie Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics. 2019 abs/1905.12080 CoRR http://arxiv.org/abs/1905.12080 db/journals/corr/corr1905.html#abs-1905-12080

Ghouthi Boukli Hacene Carlos Eduardo Rosar Kós Lassance Vincent Gripon Matthieu Courbariaux Yoshua Bengio Attention Based Pruning for Shift Networks. 2019 abs/1905.12300 CoRR http://arxiv.org/abs/1905.12300 db/journals/corr/corr1905.html#abs-1905-12300

Maxence Ernoult Julie Grollier Damien Querlioz Yoshua Bengio Benjamin Scellier Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input. 2019 abs/1905.13633 CoRR http://arxiv.org/abs/1905.13633 db/journals/corr/corr1905.html#abs-1905-13633

Chinnadhurai Sankar Sandeep Subramanian Christopher J. Pal Sarath Chandar Yoshua Bengio Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study. 2019 abs/1906.01603 CoRR http://arxiv.org/abs/1906.01603 db/journals/corr/corr1906.html#abs-1906-01603

Devansh Arpit Victor Campos 0001 Yoshua Bengio How to Initialize your Network? Robust Initialization for WeightNorm & ResNets. 2019 abs/1906.02341 CoRR http://arxiv.org/abs/1906.02341 db/journals/corr/corr1906.html#abs-1906-02341

Shagun Sodhani Anirudh Goyal Tristan Deleu Yoshua Bengio Sergey Levine Jian Tang 0005 Learning Powerful Policies by Using Consistent Dynamics Model. 2019 abs/1906.04355 CoRR http://arxiv.org/abs/1906.04355 db/journals/corr/corr1906.html#abs-1906-04355

David Rolnick Priya L. Donti Lynn H. Kaack Kelly Kochanski Alexandre Lacoste Kris Sankaran Andrew Slavin Ross Nikola Milojevic-Dupont Natasha Jaques Anna Waldman-Brown Alexandra Luccioni Tegan Maharaj Evan D. Sherwin S. Karthik Mukkavilli Konrad P. Körding Carla P. Gomes Andrew Y. Ng Demis Hassabis John C. Platt Felix Creutzig Jennifer T. Chayes Yoshua Bengio Tackling Climate Change with Machine Learning. 2019 abs/1906.05433 CoRR http://arxiv.org/abs/1906.05433 db/journals/corr/corr1906.html#abs-1906-05433

Min Lin Jie Fu 0001 Yoshua Bengio Conditional Computation for Continual Learning. 2019 abs/1906.06635 CoRR http://arxiv.org/abs/1906.06635 db/journals/corr/corr1906.html#abs-1906-06635

Alex Lamb Vikas Verma Juho Kannala Yoshua Bengio Interpolated Adversarial Training: Achieving Robust Neural Networks without Sacrificing Accuracy. 2019 abs/1906.06784 CoRR http://arxiv.org/abs/1906.06784 db/journals/corr/corr1906.html#abs-1906-06784

Valentin Thomas Fabian Pedregosa Bart van Merriënboer Pierre-Antoine Manzagol Yoshua Bengio Nicolas Le Roux Information matrices and generalization. 2019 abs/1906.07774 CoRR http://arxiv.org/abs/1906.07774 db/journals/corr/corr1906.html#abs-1906-07774

Ankesh Anand Evan Racah Sherjil Ozair Yoshua Bengio Marc-Alexandre Côté R. Devon Hjelm Unsupervised State Representation Learning in Atari. 2019 abs/1906.08226 CoRR http://arxiv.org/abs/1906.08226 db/journals/corr/corr1906.html#abs-1906-08226

Zijun Zhang Ruixiang Zhang Zongpeng Li Yoshua Bengio Liam Paull Perceptual Generative Autoencoders. 2019 abs/1906.10335 CoRR http://arxiv.org/abs/1906.10335 db/journals/corr/corr1906.html#abs-1906-10335

Anirudh Goyal Shagun Sodhani Jonathan Binas Xue Bin Peng Sergey Levine Yoshua Bengio Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives. 2019 abs/1906.10667 CoRR http://arxiv.org/abs/1906.10667 db/journals/corr/corr1906.html#abs-1906-10667

Nasim Rahaman Steffen Wolf 0001 Anirudh Goyal Roman Remme Yoshua Bengio Learning the Arrow of Time. 2019 abs/1907.01285 CoRR http://arxiv.org/abs/1907.01285 db/journals/corr/corr1907.html#abs-1907-01285

Meng Qu Jian Tang 0005 Yoshua Bengio Weakly-supervised Knowledge Graph Alignment with Adversarial Learning. 2019 abs/1907.03179 CoRR http://arxiv.org/abs/1907.03179 db/journals/corr/corr1907.html#abs-1907-03179

Md Mahfuzur Rahman Siddiquee Zongwei Zhou Nima Tajbakhsh Ruibin Feng Michael B. Gotway Yoshua Bengio Jianming Liang Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization. 2019 abs/1908.06965 CoRR http://arxiv.org/abs/1908.06965 db/journals/corr/corr1908.html#abs-1908-06965

Xingdi Yuan Marc-Alexandre Côté Jie Fu 0001 Zhouhan Lin Christopher J. Pal Yoshua Bengio Adam Trischler Interactive Language Learning by Question Answering. 2019 abs/1908.10909 CoRR http://arxiv.org/abs/1908.10909 db/journals/corr/corr1908.html#abs-1908-10909

Jordan Hoffmann Louis Maestrati Yoshihide Sawada Jian Tang 0005 Jean Michel D. Sellier Yoshua Bengio Data-Driven Approach to Encoding and Decoding 3-D Crystal Structures. 2019 abs/1909.00949 CoRR http://arxiv.org/abs/1909.00949 db/journals/corr/corr1909.html#abs-1909-00949

Tristan Deleu Tobias Würfl Mandana Samiei Joseph Paul Cohen Yoshua Bengio Torchmeta: A Meta-Learning library for PyTorch. 2019 abs/1909.06576 CoRR http://arxiv.org/abs/1909.06576 db/journals/corr/corr1909.html#abs-1909-06576

Anirudh Goyal Alex Lamb Jordan Hoffmann Shagun Sodhani Sergey Levine Yoshua Bengio Bernhard Schölkopf Recurrent Independent Mechanisms. 2019 abs/1909.10893 CoRR http://arxiv.org/abs/1909.10893 db/journals/corr/corr1909.html#abs-1909-10893

David Venuto Léonard Boussioux Junhao Wang Rola Dali Jhelum Chakravorty Yoshua Bengio Doina Precup Avoidance Learning Using Observational Reinforcement Learning. 2019 abs/1909.11228 CoRR http://arxiv.org/abs/1909.11228 db/journals/corr/corr1909.html#abs-1909-11228

Vikas Verma Meng Qu Alex Lamb Yoshua Bengio Juho Kannala Jian Tang 0005 GraphMix: Regularized Training of Graph Neural Networks for Semi-Supervised Learning. 2019 abs/1909.11715 CoRR http://arxiv.org/abs/1909.11715 db/journals/corr/corr1909.html#abs-1909-11715

Joseph D. Viviano Becks Simpson Francis Dutil Yoshua Bengio Joseph Paul Cohen Underwhelming Generalization Improvements From Controlling Feature Attribution. 2019 abs/1910.00199 CoRR http://arxiv.org/abs/1910.00199 db/journals/corr/corr1910.html#abs-1910-00199

Taesup Kim Sungjin Ahn Yoshua Bengio Variational Temporal Abstraction. 2019 abs/1910.00775 CoRR http://arxiv.org/abs/1910.00775 db/journals/corr/corr1910.html#abs-1910-00775

Nan Rosemary Ke Olexa Bilaniuk Anirudh Goyal Stefan Bauer Hugo Larochelle Chris Pal Yoshua Bengio Learning Neural Causal Models from Unknown Interventions. 2019 abs/1910.01075 CoRR http://arxiv.org/abs/1910.01075 db/journals/corr/corr1910.html#abs-1910-01075

Kundan Kumar Rithesh Kumar Thibault de Boissiere Lucas Gestin Wei Zhen Teoh Jose Sotelo Alexandre de Brébisson Yoshua Bengio Aaron C. Courville MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis. 2019 abs/1910.06711 CoRR http://arxiv.org/abs/1910.06711 db/journals/corr/corr1910.html#abs-1910-06711

Yimeng Min S. Karthik Mukkavilli Yoshua Bengio Predicting ice flow using machine learning. 2019 abs/1910.08922 CoRR http://arxiv.org/abs/1910.08922 db/journals/corr/corr1910.html#abs-1910-08922

Shawn Tan Guillaume Androz Ahmad Chamseddine Pierre Fecteau Aaron C. Courville Yoshua Bengio Joseph Paul Cohen Icentia11K: An Unsupervised Representation Learning Dataset for Arrhythmia Subtype Discovery. 2019 abs/1910.09570 CoRR http://arxiv.org/abs/1910.09570 db/journals/corr/corr1910.html#abs-1910-09570

Sharon Zhou Alexandra Luccioni Gautier Cosne Michael S. Bernstein Yoshua Bengio Establishing an Evaluation Metric to Quantify Climate Change Image Realism. 2019 abs/1910.10143 CoRR http://arxiv.org/abs/1910.10143 db/journals/corr/corr1910.html#abs-1910-10143

Samarth Sinha Han Zhang 0010 Anirudh Goyal Yoshua Bengio Hugo Larochelle Augustus Odena Small-GAN: Speeding Up GAN Training Using Core-sets. 2019 abs/1910.13540 CoRR http://arxiv.org/abs/1910.13540 db/journals/corr/corr1910.html#abs-1910-13540

Tong Che Xiaofeng Liu 0001 Site Li Yubin Ge Ruixiang Zhang Caiming Xiong Yoshua Bengio Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models. 2019 abs/1911.07421 CoRR http://arxiv.org/abs/1911.07421 db/journals/corr/corr1911.html#abs-1911-07421

Thomas Mesnard Gaëtan Vignoud João Sacramento Walter Senn Yoshua Bengio Ghost Units Yield Biologically Plausible Backprop in Deep Neural Networks. 2019 abs/1911.08585 CoRR http://arxiv.org/abs/1911.08585 db/journals/corr/corr1911.html#abs-1911-08585

Anirudh Srinivasan Dzmitry Bahdanau Maxime Chevalier-Boisvert Yoshua Bengio Automated curriculum generation for Policy Gradients from Demonstrations. 2019 abs/1912.00444 CoRR http://arxiv.org/abs/1912.00444 db/journals/corr/corr1912.html#abs-1912-00444

Jessenia Gonzalez Debjani Bhowmick Cesar Beltran Kris Sankaran Yoshua Bengio Applying Knowledge Transfer for Water Body Segmentation in Peru. 2019 abs/1912.00957 CoRR http://arxiv.org/abs/1912.00957 db/journals/corr/corr1912.html#abs-1912-00957

Jessica A. F. Thompson Yoshua Bengio Marc Schönwiesner The effect of task and training on intermediate representations in convolutional neural networks revealed with modified RV similarity analysis. 2019 abs/1912.02260 CoRR http://arxiv.org/abs/1912.02260 db/journals/corr/corr1912.html#abs-1912-02260

Dzmitry Bahdanau Harm de Vries Timothy J. O'Donnell Shikhar Murty Philippe Beaudoin Yoshua Bengio Aaron C. Courville CLOSURE: Assessing Systematic Generalization of CLEVR Models. 2019 abs/1912.05783 CoRR http://arxiv.org/abs/1912.05783 db/journals/corr/corr1912.html#abs-1912-05783

ByungIn Yoo Tristan Sylvain Yoshua Bengio Junmo Kim 0002 Joint Learning of Generative Translator and Classifier for Visually Similar Classes. 2019 abs/1912.06994 CoRR http://arxiv.org/abs/1912.06994 db/journals/corr/corr1912.html#abs-1912-06994

Yoshua Bengio Emma Frejinger Andrea Lodi 0001 Rahul Patel 0001 Sriram Sankaranarayanan 0002 A learning-based algorithm to quickly compute good primal solutions for Stochastic Integer Programs. 2019 abs/1912.08112 CoRR http://arxiv.org/abs/1912.08112 db/journals/corr/corr1912.html#abs-1912-08112

Alexandra Luccioni Yoshua Bengio On the Morality of Artificial Intelligence. 2019 abs/1912.11945 CoRR http://arxiv.org/abs/1912.11945 db/journals/corr/corr1912.html#abs-1912-11945

Georgy Derevyanko Sergei Grudinin Yoshua Bengio Guillaume Lamoureux Deep convolutional networks for quality assessment of protein folds. 4046-4053 2018 34 Bioinform. 23 https://doi.org/10.1093/bioinformatics/bty494 https://www.wikidata.org/entity/Q89182764 db/journals/bioinformatics/bioinformatics34.html#DerevyankoGBL18

Heeyoul Choi Kyunghyun Cho Yoshua Bengio Fine-grained attention mechanism for neural machine translation. 171-176 2018 284 Neurocomputing https://doi.org/10.1016/j.neucom.2018.01.007 db/journals/ijon/ijon284.html#ChoiCB18

Michal Drozdzal Gabriel Chartrand Eugene Vorontsov Mahsa Shakeri Lisa Di-Jorio An Tang Adriana Romero Yoshua Bengio Chris Pal Samuel Kadoury Learning normalized inputs for iterative estimation in medical image segmentation. 1-13 2018 44 Medical Image Anal. https://doi.org/10.1016/j.media.2017.11.005 https://www.wikidata.org/entity/Q47423701 db/journals/mia/mia44.html#DrozdzalCVSDTRB18

Çaglar Gülçehre Sarath Chandar Kyunghyun Cho Yoshua Bengio Dynamic Neural Turing Machine with Continuous and Discrete Addressing Schemes. 2018 30 Neural Comput. 4 https://doi.org/10.1162/neco_a_01060 https://www.wikidata.org/entity/Q49579907 db/journals/neco/neco30.html#GulcehreCCB18

Xu-Yao Zhang Fei Yin Yan-Ming Zhang 0001 Cheng-Lin Liu 0001 Yoshua Bengio Drawing and Recognizing Chinese Characters with Recurrent Neural Network. 849-862 2018 40 IEEE Trans. Pattern Anal. Mach. Intell. 4 https://doi.org/10.1109/TPAMI.2017.2695539 http://doi.ieeecomputersociety.org/10.1109/TPAMI.2017.2695539 https://www.wikidata.org/entity/Q50442108 db/journals/pami/pami40.html#ZhangYZLB18

Mirco Ravanelli Philemon Brakel Maurizio Omologo Yoshua Bengio Light Gated Recurrent Units for Speech Recognition. 92-102 2018 2 IEEE Trans. Emerg. Top. Comput. Intell. 2 https://doi.org/10.1109/TETCI.2017.2762739 https://www.wikidata.org/entity/Q130088526 db/journals/tetci/tetci2.html#RavanelliBOB18

Li Jing 0001 Çaglar Gülçehre John Peurifoy Yichen Shen 0001 Max Tegmark Marin Soljacic Yoshua Bengio Gated Orthogonal Recurrent Units: On Learning to Forget. 720-726 2018 AAAI Workshops https://aaai.org/ocs/index.php/WS/AAAIW18/paper/view/16901 conf/aaai/2018w db/conf/aaai/aaai2018w.html#JingGPSTSB18 Sandeep Subramanian Tong Wang 0012 Xingdi Yuan Saizheng Zhang Adam Trischler Yoshua Bengio Neural Models for Key Phrase Extraction and Question Generation. 78-88 2018 QA@ACL https://aclanthology.org/W18-2609/ https://doi.org/10.18653/v1/W18-2609 conf/acl/2018qa db/conf/acl/qa2018.html#SubramanianWYZT18 Yikang Shen Zhouhan Lin Athul Paul Jacob Alessandro Sordoni Aaron C. Courville Yoshua Bengio Straight to the Tree: Constituency Parsing with Neural Syntactic Distance. 1171-1180 2018 ACL (1) https://aclanthology.org/P18-1108/ https://doi.org/10.18653/v1/P18-1108 conf/acl/2018-1 db/conf/acl/acl2018-1.html#BengioSCJLS18 Arantxa Casanova Guillem Cucurull Michal Drozdzal Adriana Romero Yoshua Bengio On the Iterative Refinement of Densely Connected Representation Levels for Semantic Segmentation. 978-987 2018 CVPR Workshops http://openaccess.thecvf.com/content_cvpr_2018_workshops/w14/html/Casanova_On_the_Iterative_CVPR_2018_paper.html https://doi.org/10.1109/CVPRW.2018.00144 https://doi.ieeecomputersociety.org/10.1109/CVPRW.2018.00144 conf/cvpr/2018w db/conf/cvpr/cvprw2018.html#CasanovaCDRB18 Zhilin Yang 0001 Peng Qi 0003 Saizheng Zhang Yoshua Bengio William W. Cohen Ruslan Salakhutdinov Christopher D. Manning HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering. 2369-2380 2018 EMNLP https://doi.org/10.18653/v1/d18-1259 https://aclanthology.org/D18-1259/ https://www.wikidata.org/entity/Q85089319 conf/emnlp/2018 db/conf/emnlp/emnlp2018.html#Yang0ZBCSM18 Stanislaw Jastrzebski Zachary Kenton Devansh Arpit Nicolas Ballas Asja Fischer Yoshua Bengio Amos J. Storkey Width of Minima Reached by Stochastic Gradient Descent is Influenced by Learning Rate to Batch Size Ratio. 392-402 2018 ICANN (3) https://doi.org/10.1007/978-3-030-01424-7_39 conf/icann/2018-3 db/conf/icann/icann2018-3.html#JastrzebskiKABF18 Stylianos Ioannis Mimilakis Konstantinos Drossos João Felipe Santos Gerald Schuller Tuomas Virtanen Yoshua Bengio Monaural Singing Voice Separation with Skip-Filtering Connections and Recurrent Inference of Time-Frequency Mask. 721-725 2018 ICASSP https://doi.org/10.1109/ICASSP.2018.8461822 conf/icassp/2018 db/conf/icassp/icassp2018.html#MimilakisDSSVB18 Inchul Song Junyoung Chung Taesup Kim Yoshua Bengio Dynamic Frame Skipping for Fast Speech Recognition in Recurrent Neural Network Based Acoustic Models. 4984-4988 2018 ICASSP https://doi.org/10.1109/ICASSP.2018.8462615 conf/icassp/2018 db/conf/icassp/icassp2018.html#SongCKB18 Dmitriy Serdyuk Yongqiang Wang 0005 Christian Fuegen Anuj Kumar Baiyang Liu Yoshua Bengio Towards End-to-end Spoken Language Understanding. 5754-5758 2018 ICASSP https://doi.org/10.1109/ICASSP.2018.8461785 conf/icassp/2018 db/conf/icassp/icassp2018.html#SerdyukWFKLB18 R. Devon Hjelm Athul Paul Jacob Adam Trischler Gerry Che Kyunghyun Cho Yoshua Bengio Boundary Seeking GANs. 2018 ICLR (Poster) https://openreview.net/forum?id=rkTS8lZAb conf/iclr/2018 db/conf/iclr/iclr2018.html#HjelmJTCCB18 Stanislaw Jastrzebski Devansh Arpit Nicolas Ballas Vikas Verma Tong Che Yoshua Bengio Residual Connections Encourage Iterative Inference. 2018 ICLR (Poster) https://openreview.net/forum?id=SJa9iHgAZ conf/iclr/2018 db/conf/iclr/iclr2018.html#JastrzebskiABVC18 Stanislaw Jastrzebski Zachary Kenton Devansh Arpit Nicolas Ballas Asja Fischer Yoshua Bengio Amos J. Storkey Finding Flatter Minima with SGD. 2018 ICLR (Workshop) https://openreview.net/forum?id=r1VF9dCUG conf/iclr/2018w db/conf/iclr/iclr2018w.html#JastrzebskiKABF18 Samira Ebrahimi Kahou Vincent Michalski Adam Atkinson Ákos Kádár Adam Trischler Yoshua Bengio FigureQA: An Annotated Figure Dataset for Visual Reasoning. 2018 ICLR (Workshop) https://openreview.net/forum?id=H1mz0OyDz conf/iclr/2018w db/conf/iclr/iclr2018w.html#KahouMAKTB18 Chen Ma Junfeng Wen Yoshua Bengio Universal Successor Representations for Transfer Reinforcement Learning. 2018 ICLR (Workshop) https://openreview.net/forum?id=HJ_CpYyDz conf/iclr/2018w db/conf/iclr/iclr2018w.html#MaWB18 Benjamin Scellier Anirudh Goyal Jonathan Binas Thomas Mesnard Yoshua Bengio Extending the Framework of Equilibrium Propagation to General Dynamics. 2018 ICLR (Workshop) https://openreview.net/forum?id=BJ5V4ICIG conf/iclr/2018w db/conf/iclr/iclr2018w.html#ScellierGBMB18 Dmitriy Serdyuk Nan Rosemary Ke Alessandro Sordoni Adam Trischler Chris Pal Yoshua Bengio Twin Networks: Matching the Future for Sequence Generation. 2018 ICLR (Poster) https://openreview.net/forum?id=BydLzGb0Z conf/iclr/2018 db/conf/iclr/iclr2018.html#SerdyukKSTPB18 Shikhar Sharma 0001 Dendi Suhubdy Vincent Michalski Samira Ebrahimi Kahou Yoshua Bengio ChatPainter: Improving Text to Image Generation using Dialogue. 2018 ICLR (Workshop) https://openreview.net/forum?id=rJsnEYJwG conf/iclr/2018w db/conf/iclr/iclr2018w.html#SharmaSMKB18 Sandeep Subramanian Adam Trischler Yoshua Bengio Christopher J. Pal Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning. 2018 ICLR (Poster) https://openreview.net/forum?id=B18WgG-CZ conf/iclr/2018 db/conf/iclr/iclr2018.html#SubramanianTBP18 Chiheb Trabelsi Olexa Bilaniuk Ying Zhang 0033 Dmitriy Serdyuk Sandeep Subramanian João Felipe Santos Soroush Mehri Negar Rostamzadeh Yoshua Bengio Christopher J. Pal Deep Complex Networks. 2018 ICLR (Poster) https://openreview.net/forum?id=H1T2hmZAb conf/iclr/2018 db/conf/iclr/iclr2018.html#TrabelsiBZSSSMR18 Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Liò Yoshua Bengio Graph Attention Networks. 2018 ICLR (Poster) https://openreview.net/forum?id=rJXMpikCZ conf/iclr/2018 db/conf/iclr/iclr2018.html#VelickovicCCRLB18 Konrad Zolna Devansh Arpit Dendi Suhubdy Yoshua Bengio Fraternal Dropout. 2018 ICLR (Poster) https://openreview.net/forum?id=SJyVzQ-C- conf/iclr/2018 db/conf/iclr/iclr2018.html#ZolnaASB18 Mohamed Ishmael Belghazi Aristide Baratin Sai Rajeswar Sherjil Ozair Yoshua Bengio R. Devon Hjelm Aaron C. Courville Mutual Information Neural Estimation. 530-539 2018 ICML http://proceedings.mlr.press/v80/belghazi18a.html conf/icml/2018 db/conf/icml/icml2018.html#BelghaziBROBHC18 Nan Rosemary Ke Konrad Zolna Alessandro Sordoni Zhouhan Lin Adam Trischler Yoshua Bengio Joelle Pineau Laurent Charlin Christopher J. Pal Focused Hierarchical RNNs for Conditional Sequence Processing. 2559-2568 2018 ICML http://proceedings.mlr.press/v80/ke18a.html conf/icml/2018 db/conf/icml/icml2018.html#KeZSLTBPCP18 Konstantinos Drossos Stylianos Ioannis Mimilakis Dmitriy Serdyuk Gerald Schuller Tuomas Virtanen Yoshua Bengio MaD TwinNet: Masker-Denoiser Architecture with Twin Networks for Monaural Sound Source Separation. 1-8 2018 IJCNN https://doi.org/10.1109/IJCNN.2018.8489565 conf/ijcnn/2018 db/conf/ijcnn/ijcnn2018.html#DrossosMSSVB18 Titouan Parcollet Ying Zhang 0033 Mohamed Morchid Chiheb Trabelsi Georges Linarès Renato de Mori Yoshua Bengio Quaternion Convolutional Neural Networks for End-to-End Automatic Speech Recognition. 22-26 2018 INTERSPEECH https://doi.org/10.21437/Interspeech.2018-1898 conf/interspeech/2018 db/conf/interspeech/interspeech2018.html#ParcolletZMTLMB18 Mirco Ravanelli Dmitriy Serdyuk Yoshua Bengio Twin Regularization for Online Speech Recognition. 3718-3722 2018 INTERSPEECH https://doi.org/10.21437/Interspeech.2018-1407 conf/interspeech/2018 db/conf/interspeech/interspeech2018.html#RavanelliSB18 Abel Gonzalez-Garcia Joost van de Weijer 0001 Yoshua Bengio Image-to-image translation for cross-domain disentanglement. 1294-1305 2018 NeurIPS https://proceedings.neurips.cc/paper/2018/hash/dc6a70712a252123c40d2adba6a11d84-Abstract.html http://papers.nips.cc/paper/7404-image-to-image-translation-for-cross-domain-disentanglement conf/nips/2018 db/conf/nips/nips2018.html#Gonzalez-Garcia18 Ruixiang Zhang Tong Che Zoubin Ghahramani Yoshua Bengio Yangqiu Song MetaGAN: An Adversarial Approach to Few-Shot Learning. 2371-2380 2018 NeurIPS https://proceedings.neurips.cc/paper/2018/hash/4e4e53aa080247bc31d0eb4e7aeb07a0-Abstract.html http://papers.nips.cc/paper/7504-metagan-an-adversarial-approach-to-few-shot-learning conf/nips/2018 db/conf/nips/nips2018.html#ZhangCGBS18 Jaesik Yoon Taesup Kim Ousmane Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn Bayesian Model-Agnostic Meta-Learning. 7343-7353 2018 NeurIPS https://proceedings.neurips.cc/paper/2018/hash/e1021d43911ca2c1845910d84f40aeae-Abstract.html http://papers.nips.cc/paper/7963-bayesian-model-agnostic-meta-learning conf/nips/2018 db/conf/nips/nips2018.html#YoonKDKBA18 Nan Rosemary Ke Anirudh Goyal Olexa Bilaniuk Jonathan Binas Michael C. Mozer Chris Pal Yoshua Bengio Sparse Attentive Backtracking: Temporal Credit Assignment Through Reminding. 7651-7662 2018 NeurIPS https://proceedings.neurips.cc/paper/2018/hash/e16e74a63567ecb44ade5c87002bb1d9-Abstract.html http://papers.nips.cc/paper/7991-sparse-attentive-backtracking-temporal-credit-assignment-through-reminding conf/nips/2018 db/conf/nips/nips2018.html#KeGBBMPB18 João Sacramento Rui Ponte Costa Yoshua Bengio Walter Senn Dendritic cortical microcircuits approximate the backpropagation algorithm. 8735-8746 2018 NeurIPS https://proceedings.neurips.cc/paper/2018/hash/1dc3a89d0d440ba31729b0ba74b93a33-Abstract.html http://papers.nips.cc/paper/8089-dendritic-cortical-microcircuits-approximate-the-backpropagation-algorithm conf/nips/2018 db/conf/nips/nips2018.html#SacramentoCBS18 Athul Paul Jacob Zhouhan Lin Alessandro Sordoni Yoshua Bengio Learning Hierarchical Structures On-The-Fly with a Recurrent-Recursive Model for Sequences. 154-158 2018 Rep4NLP@ACL https://doi.org/10.18653/v1/w18-3020 https://aclanthology.org/W18-3020/ conf/rep4nlp/2018 db/conf/rep4nlp/rep4nlp2018.html#JacobLSB18 Mirco Ravanelli Yoshua Bengio Speaker Recognition from Raw Waveform with SincNet. 1021-1028 2018 SLT https://doi.org/10.1109/SLT.2018.8639585 conf/slt/2018 db/conf/slt/slt2018.html#RavanelliB18

João Sacramento Rui Ponte Costa Yoshua Bengio Walter Senn Dendritic error backpropagation in deep cortical microcircuits. 2018 abs/1801.00062 CoRR http://arxiv.org/abs/1801.00062 db/journals/corr/corr1801.html#abs-1801-00062

Rithesh Kumar Jose Sotelo Kundan Kumar Alexandre de Brébisson Yoshua Bengio ObamaNet: Photo-realistic lip-sync from text. 2018 abs/1801.01442 CoRR http://arxiv.org/abs/1801.01442 db/journals/corr/corr1801.html#abs-1801-01442

Akram Erraqabi Aristide Baratin Yoshua Bengio Simon Lacoste-Julien A3T: Adversarially Augmented Adversarial Training. 2018 abs/1801.04055 CoRR http://arxiv.org/abs/1801.04055 db/journals/corr/corr1801.html#abs-1801-04055

Iulian Vlad Serban Chinnadhurai Sankar Mathieu Germain Saizheng Zhang Zhouhan Lin Sandeep Subramanian Taesup Kim Michael Pieper Sarath Chandar Nan Rosemary Ke Sai Rajeswar Alexandre de Brébisson Jose M. R. Sotelo Dendi Suhubdy Vincent Michalski Alexandre Nguyen Joelle Pineau Yoshua Bengio A Deep Reinforcement Learning Chatbot (Short Version). 2018 abs/1801.06700 CoRR http://arxiv.org/abs/1801.06700 db/journals/corr/corr1801.html#abs-1801-06700

Konstantinos Drossos Stylianos Ioannis Mimilakis Dmitriy Serdyuk Gerald Schuller Tuomas Virtanen Yoshua Bengio MaD TwinNet: Masker-Denoiser Architecture with Twin Networks for Monaural Sound Source Separation. 2018 abs/1802.00300 CoRR http://arxiv.org/abs/1802.00300 db/journals/corr/corr1802.html#abs-1802-00300

Kenji Kawaguchi Yoshua Bengio Generalization in Machine Learning via Analytical Learning Theory. 2018 abs/1802.07426 CoRR http://arxiv.org/abs/1802.07426 db/journals/corr/corr1802.html#abs-1802-07426

Shikhar Sharma 0001 Dendi Suhubdy Vincent Michalski Samira Ebrahimi Kahou Yoshua Bengio ChatPainter: Improving Text to Image Generation using Dialogue. 2018 abs/1802.08216 CoRR http://arxiv.org/abs/1802.08216 db/journals/corr/corr1802.html#abs-1802-08216

Dmitriy Serdyuk Yongqiang Wang 0005 Christian Fuegen Anuj Kumar Baiyang Liu Yoshua Bengio Towards end-to-end spoken language understanding. 2018 abs/1802.08395 CoRR http://arxiv.org/abs/1802.08395 db/journals/corr/corr1802.html#abs-1802-08395

Chen Xing Devansh Arpit Christos Tsirigotis Yoshua Bengio A Walk with SGD. 2018 abs/1802.08770 CoRR http://arxiv.org/abs/1802.08770 db/journals/corr/corr1802.html#abs-1802-08770

Clément Feutry Pablo Piantanida Yoshua Bengio Pierre Duhamel Learning Anonymized Representations with Adversarial Neural Networks. 2018 abs/1802.09386 CoRR http://arxiv.org/abs/1802.09386 db/journals/corr/corr1802.html#abs-1802-09386

Valentin Thomas Emmanuel Bengio William Fedus Jules Pondard Philippe Beaudoin Hugo Larochelle Joelle Pineau Doina Precup Yoshua Bengio Disentangling the independently controllable factors of variation by interacting with the world. 2018 abs/1802.09484 CoRR http://arxiv.org/abs/1802.09484 db/journals/corr/corr1802.html#abs-1802-09484

Mirco Ravanelli Philemon Brakel Maurizio Omologo Yoshua Bengio Light Gated Recurrent Units for Speech Recognition. 2018 abs/1803.10225 CoRR http://arxiv.org/abs/1803.10225 db/journals/corr/corr1803.html#abs-1803-10225

Heeyoul Choi Kyunghyun Cho Yoshua Bengio Fine-Grained Attention Mechanism for Neural Machine Translation. 2018 abs/1803.11407 CoRR http://arxiv.org/abs/1803.11407 db/journals/corr/corr1803.html#abs-1803-11407

Sandeep Subramanian Adam Trischler Yoshua Bengio Christopher J. Pal Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning. 2018 abs/1804.00079 CoRR http://arxiv.org/abs/1804.00079 db/journals/corr/corr1804.html#abs-1804-00079

Anirudh Goyal Philemon Brakel William Fedus Timothy P. Lillicrap Sergey Levine Hugo Larochelle Yoshua Bengio Recall Traces: Backtracking Models for Efficient Reinforcement Learning. 2018 abs/1804.00379 CoRR http://arxiv.org/abs/1804.00379 db/journals/corr/corr1804.html#abs-1804-00379

Alex Lamb Jonathan Binas Anirudh Goyal Dmitriy Serdyuk Sandeep Subramanian Ioannis Mitliagkas Yoshua Bengio Fortified Networks: Improving the Robustness of Deep Networks by Modeling the Manifold of Hidden Representations. 2018 abs/1804.02485 CoRR http://arxiv.org/abs/1804.02485 db/journals/corr/corr1804.html#abs-1804-02485

Chen Ma Junfeng Wen Yoshua Bengio Universal Successor Representations for Transfer Reinforcement Learning. 2018 abs/1804.03758 CoRR http://arxiv.org/abs/1804.03758 db/journals/corr/corr1804.html#abs-1804-03758

Mirco Ravanelli Dmitriy Serdyuk Yoshua Bengio Twin Regularization for online speech recognition. 2018 abs/1804.05374 CoRR http://arxiv.org/abs/1804.05374 db/journals/corr/corr1804.html#abs-1804-05374

Stanislaw Jastrzebski Dzmitry Bahdanau Seyedarian Hosseini Michael Noukhovitch Yoshua Bengio Jackie Chi Kit Cheung Commonsense mining as knowledge base completion? A study on the impact of novelty. 2018 abs/1804.09259 CoRR http://arxiv.org/abs/1804.09259 db/journals/corr/corr1804.html#abs-1804-09259

Jonathan Binas Yoshua Bengio Low-memory convolutional neural networks through incremental depth-first processing. 2018 abs/1804.10727 CoRR http://arxiv.org/abs/1804.10727 db/journals/corr/corr1804.html#abs-1804-10727

Arantxa Casanova Guillem Cucurull Michal Drozdzal Adriana Romero Yoshua Bengio On the iterative refinement of densely connected representation levels for semantic segmentation. 2018 abs/1804.11332 CoRR http://arxiv.org/abs/1804.11332 db/journals/corr/corr1804.html#abs-1804-11332

Abel Gonzalez-Garcia Joost van de Weijer 0001 Yoshua Bengio Image-to-image translation for cross-domain disentanglement. 2018 abs/1805.09730 CoRR http://arxiv.org/abs/1805.09730 db/journals/corr/corr1805.html#abs-1805-09730

Margaux Luck Tristan Sylvain Joseph Paul Cohen Héloïse Cardinal Andrea Lodi 0001 Yoshua Bengio Learning to rank for censored survival data. 2018 abs/1806.01984 CoRR http://arxiv.org/abs/1806.01984 db/journals/corr/corr1806.html#abs-1806-01984

Taesup Kim Jaesik Yoon Ousmane Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn Bayesian Model-Agnostic Meta-Learning. 2018 abs/1806.03836 CoRR http://arxiv.org/abs/1806.03836 db/journals/corr/corr1806.html#abs-1806-03836

Yikang Shen Zhouhan Lin Athul Paul Jacob Alessandro Sordoni Aaron C. Courville Yoshua Bengio Straight to the Tree: Constituency Parsing with Neural Syntactic Distance. 2018 abs/1806.04168 CoRR http://arxiv.org/abs/1806.04168 db/journals/corr/corr1806.html#abs-1806-04168

Nan Rosemary Ke Konrad Zolna Alessandro Sordoni Zhouhan Lin Adam Trischler Yoshua Bengio Joelle Pineau Laurent Charlin Chris Pal Focused Hierarchical RNNs for Conditional Sequence Processing. 2018 abs/1806.04342 CoRR http://arxiv.org/abs/1806.04342 db/journals/corr/corr1806.html#abs-1806-04342

Titouan Parcollet Mirco Ravanelli Mohamed Morchid Georges Linarès Chiheb Trabelsi Renato De Mori Yoshua Bengio Quaternion Recurrent Neural Networks. 2018 abs/1806.04418 CoRR http://arxiv.org/abs/1806.04418 db/journals/corr/corr1806.html#abs-1806-04418

Vikas Verma Alex Lamb Christopher Beckham Aaron C. Courville Ioannis Mitliagkas Yoshua Bengio Manifold Mixup: Encouraging Meaningful On-Manifold Interpolation as a Regularizer. 2018 abs/1806.05236 CoRR http://arxiv.org/abs/1806.05236 db/journals/corr/corr1806.html#abs-1806-05236

Jason Jo Vikas Verma Yoshua Bengio Modularity Matters: Learning Invariant Relational Reasoning Tasks. 2018 abs/1806.06765 CoRR http://arxiv.org/abs/1806.06765 db/journals/corr/corr1806.html#abs-1806-06765

Francis Dutil Joseph Paul Cohen Martin Weiss Georgy Derevyanko Yoshua Bengio Towards Gene Expression Convolutions using Gene Interaction Graphs. 2018 abs/1806.06975 CoRR http://arxiv.org/abs/1806.06975 db/journals/corr/corr1806.html#abs-1806-06975

Titouan Parcollet Ying Zhang 0033 Mohamed Morchid Chiheb Trabelsi Georges Linarès Renato De Mori Yoshua Bengio Quaternion Convolutional Neural Networks for End-to-End Automatic Speech Recognition. 2018 abs/1806.07789 CoRR http://arxiv.org/abs/1806.07789 db/journals/corr/corr1806.html#abs-1806-07789

Nasim Rahaman Devansh Arpit Aristide Baratin Felix Draxler Min Lin Fred A. Hamprecht Yoshua Bengio Aaron C. Courville On the Spectral Bias of Deep Neural Networks. 2018 abs/1806.08734 CoRR http://arxiv.org/abs/1806.08734 db/journals/corr/corr1806.html#abs-1806-08734

Iulian Vlad Serban Chinnadhurai Sankar Michael Pieper Joelle Pineau Yoshua Bengio The Bottleneck Simulator: A Model-based Deep Reinforcement Learning Approach. 2018 abs/1807.04723 CoRR http://arxiv.org/abs/1807.04723 db/journals/corr/corr1807.html#abs-1807-04723

Stanislaw Jastrzebski Zachary Kenton Nicolas Ballas Asja Fischer Yoshua Bengio Amos J. Storkey DNN's Sharpest Directions Along the SGD Trajectory. 2018 abs/1807.05031 CoRR http://arxiv.org/abs/1807.05031 db/journals/corr/corr1807.html#abs-1807-05031

Eric Larsen Sébastien Lachapelle Yoshua Bengio Emma Frejinger Simon Lacoste-Julien Andrea Lodi 0001 Predicting Solution Summaries to Integer Linear Programs under Imperfect Information with Machine Learning. 2018 abs/1807.11876 CoRR http://arxiv.org/abs/1807.11876 db/journals/corr/corr1807.html#abs-1807-11876

Mirco Ravanelli Yoshua Bengio Speaker Recognition from raw waveform with SincNet. 2018 abs/1808.00158 CoRR http://arxiv.org/abs/1808.00158 db/journals/corr/corr1808.html#abs-1808-00158

Benjamin Scellier Anirudh Goyal Jonathan Binas Thomas Mesnard Yoshua Bengio Generalization of Equilibrium Propagation to Vector Field Dynamics. 2018 abs/1808.04873 CoRR http://arxiv.org/abs/1808.04873 db/journals/corr/corr1808.html#abs-1808-04873

R. Devon Hjelm Alex Fedorov Samuel Lavoie-Marchildon Karan Grewal Adam Trischler Yoshua Bengio Learning deep representations by mutual information estimation and maximization. 2018 abs/1808.06670 CoRR http://arxiv.org/abs/1808.06670 db/journals/corr/corr1808.html#abs-1808-06670

Nan Rosemary Ke Anirudh Goyal Olexa Bilaniuk Jonathan Binas Michael C. Mozer Chris Pal Yoshua Bengio Sparse Attentive Backtracking: Temporal CreditAssignment Through Reminding. 2018 abs/1809.03702 CoRR http://arxiv.org/abs/1809.03702 db/journals/corr/corr1809.html#abs-1809-03702

Vincent François-Lavet Yoshua Bengio Doina Precup Joelle Pineau Combined Reinforcement Learning via Abstract Representations. 2018 abs/1809.04506 CoRR http://arxiv.org/abs/1809.04506 db/journals/corr/corr1809.html#abs-1809-04506

Remi Tachet des Combes Mohammad Pezeshki Samira Shabanian Aaron C. Courville Yoshua Bengio On the Learning Dynamics of Deep Neural Networks. 2018 abs/1809.06848 CoRR http://arxiv.org/abs/1809.06848 db/journals/corr/corr1809.html#abs-1809-06848

Zhilin Yang 0001 Peng Qi 0003 Saizheng Zhang Yoshua Bengio William W. Cohen Ruslan Salakhutdinov Christopher D. Manning HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering. 2018 abs/1809.09600 CoRR http://arxiv.org/abs/1809.09600 db/journals/corr/corr1809.html#abs-1809-09600

Petar Velickovic William Fedus William L. Hamilton Pietro Liò Yoshua Bengio R. Devon Hjelm Deep Graph Infomax. 2018 abs/1809.10341 CoRR http://arxiv.org/abs/1809.10341 db/journals/corr/corr1809.html#abs-1809-10341

Ali Farshchian Juan Alvaro Gallego Joseph Paul Cohen Yoshua Bengio Lee E. Miller Sara A. Solla Adversarial Domain Adaptation for Stable Brain-Machine Interfaces. 2018 abs/1810.00045 CoRR http://arxiv.org/abs/1810.00045 db/journals/corr/corr1810.html#abs-1810-00045

Devansh Arpit Bhargav Kanuparthi Giancarlo Kerg Nan Rosemary Ke Ioannis Mitliagkas Yoshua Bengio h-detach: Modifying the LSTM Gradient Towards Better Optimization. 2018 abs/1810.03023 CoRR http://arxiv.org/abs/1810.03023 db/journals/corr/corr1810.html#abs-1810-03023

Assya Trofimov Francis Dutil Claude Perreault Sébastien Lemieux Yoshua Bengio Joseph Paul Cohen Towards the Latent Transcriptome. 2018 abs/1810.03442 CoRR http://arxiv.org/abs/1810.03442 db/journals/corr/corr1810.html#abs-1810-03442

Homanga Bharadhwaj Zihan Wang Yoshua Bengio Liam Paull A Data-Efficient Framework for Training and Sim-to-Real Transfer of Navigation Policies. 2018 abs/1810.04871 CoRR http://arxiv.org/abs/1810.04871 db/journals/corr/corr1810.html#abs-1810-04871

Maxime Chevalier-Boisvert Dzmitry Bahdanau Salem Lahlou Lucas Willems Chitwan Saharia Thien Huu Nguyen Yoshua Bengio BabyAI: First Steps Towards Grounded Language Learning With a Human In the Loop. 2018 abs/1810.08272 CoRR http://arxiv.org/abs/1810.08272 db/journals/corr/corr1810.html#abs-1810-08272

Jessica A. F. Thompson Yoshua Bengio Elia Formisano Marc Schönwiesner How can deep learning advance computational modeling of sensory information processing? 2018 abs/1810.08651 CoRR http://arxiv.org/abs/1810.08651 db/journals/corr/corr1810.html#abs-1810-08651

Kenji Kawaguchi Yoshua Bengio Depth with Nonlinearity Creates No Bad Local Minima in ResNets. 2018 abs/1810.09038 CoRR http://arxiv.org/abs/1810.09038 db/journals/corr/corr1810.html#abs-1810-09038

João Sacramento Rui Ponte Costa Yoshua Bengio Walter Senn Dendritic cortical microcircuits approximate the backpropagation algorithm. 2018 abs/1810.11393 CoRR http://arxiv.org/abs/1810.11393 db/journals/corr/corr1810.html#abs-1810-11393

Yoshua Bengio Andrea Lodi 0001 Antoine Prouvost Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon. 2018 abs/1811.06128 CoRR http://arxiv.org/abs/1811.06128 db/journals/corr/corr1811.html#abs-1811-06128

Shagun Sodhani Sarath Chandar Yoshua Bengio On Training Recurrent Neural Networks for Lifelong Learning. 2018 abs/1811.07017 CoRR http://arxiv.org/abs/1811.07017 db/journals/corr/corr1811.html#abs-1811-07017

Kyle Kastner João Felipe Santos Yoshua Bengio Aaron C. Courville Representation Mixing for TTS Synthesis. 2018 abs/1811.07240 CoRR http://arxiv.org/abs/1811.07240 db/journals/corr/corr1811.html#abs-1811-07240

Mirco Ravanelli Titouan Parcollet Yoshua Bengio The PyTorch-Kaldi Speech Recognition Toolkit. 2018 abs/1811.07453 CoRR http://arxiv.org/abs/1811.07453 db/journals/corr/corr1811.html#abs-1811-07453

Mirco Ravanelli Yoshua Bengio Interpretable Convolutional Filters with SincNet. 2018 abs/1811.09725 CoRR http://arxiv.org/abs/1811.09725 db/journals/corr/corr1811.html#abs-1811-09725

Rim Assouel Mohamed Ahmed Marwin H. S. Segler Amir Saffari Yoshua Bengio DEFactor: Differentiable Edge Factorization-based Probabilistic Graph Generation. 2018 abs/1811.09766 CoRR http://arxiv.org/abs/1811.09766 db/journals/corr/corr1811.html#abs-1811-09766

Alaaeldin El-Nouby Shikhar Sharma 0001 Hannes Schulz R. Devon Hjelm Layla El Asri Samira Ebrahimi Kahou Yoshua Bengio Graham W. Taylor Keep Drawing It: Iterative language-based image generation and editing. 2018 abs/1811.09845 CoRR http://arxiv.org/abs/1811.09845 db/journals/corr/corr1811.html#abs-1811-09845

Mirco Ravanelli Yoshua Bengio Learning Speaker Representations with Mutual Information. 2018 abs/1812.00271 CoRR http://arxiv.org/abs/1812.00271 db/journals/corr/corr1812.html#abs-1812-00271

Tristan Deleu Yoshua Bengio The effects of negative adaptation in Model-Agnostic Meta-Learning. 2018 abs/1812.02159 CoRR http://arxiv.org/abs/1812.02159 db/journals/corr/corr1812.html#abs-1812-02159

Mariya Toneva Alessandro Sordoni Remi Tachet des Combes Adam Trischler Yoshua Bengio Geoffrey J. Gordon An Empirical Study of Example Forgetting during Deep Neural Network Learning. 2018 abs/1812.05159 CoRR http://arxiv.org/abs/1812.05159 db/journals/corr/corr1812.html#abs-1812-05159

Mirco Ravanelli Yoshua Bengio Speech and Speaker Recognition from Raw Waveform with SincNet. 2018 abs/1812.05920 CoRR http://arxiv.org/abs/1812.05920 db/journals/corr/corr1812.html#abs-1812-05920

Ghouthi Boukli Hacene Vincent Gripon Matthieu Arzel Nicolas Farrugia Yoshua Bengio Quantized Guided Pruning for Efficient Hardware Implementations of Convolutional Neural Networks. 2018 abs/1812.11337 CoRR http://arxiv.org/abs/1812.11337 db/journals/corr/corr1812.html#abs-1812-11337

Çaglar Gülçehre Orhan Firat Kelvin Xu Kyunghyun Cho Yoshua Bengio On integrating a language model into neural machine translation. 137-148 2017 45 Comput. Speech Lang. https://doi.org/10.1016/j.csl.2017.01.014 db/journals/csl/csl45.html#GulcehreFXCB17

Heeyoul Choi Kyunghyun Cho Yoshua Bengio Context-dependent word representation for neural machine translation. 149-160 2017 45 Comput. Speech Lang. https://doi.org/10.1016/j.csl.2017.01.007 db/journals/csl/csl45.html#ChoiCB17

Orhan Firat Kyunghyun Cho Baskaran Sankaran Fatos T. Yarman-Vural Yoshua Bengio Multi-way, multilingual neural machine translation. 236-252 2017 45 Comput. Speech Lang. https://doi.org/10.1016/j.csl.2016.10.006 db/journals/csl/csl45.html#FiratCSYB17

Benjamin Scellier Yoshua Bengio Equilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation. 2017 11 Frontiers Comput. Neurosci. https://doi.org/10.3389/fncom.2017.00024 https://www.wikidata.org/entity/Q29994828 db/journals/ficn/ficn11.html#ScellierB17 24

Itay Hubara Matthieu Courbariaux Daniel Soudry Ran El-Yaniv Yoshua Bengio Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations. 187:1-187:30 2017 18 J. Mach. Learn. Res. https://jmlr.org/papers/v18/16-456.html db/journals/jmlr/jmlr18.html#HubaraCSEB17

Mohammad Havaei Axel Davy David Warde-Farley Antoine Biard Aaron C. Courville Yoshua Bengio Chris Pal Pierre-Marc Jodoin Hugo Larochelle Brain tumor segmentation with Deep Neural Networks. 18-31 2017 35 Medical Image Anal. https://doi.org/10.1016/j.media.2016.05.004 https://www.wikidata.org/entity/Q39678806 db/journals/mia/mia35.html#HavaeiDWBCBPJL17

Felix Hill Kyunghyun Cho Sébastien Jean Yoshua Bengio The representational geometry of word meanings acquired by neural machine translation models. 3-18 2017 31 Mach. Transl. 1-2 https://doi.org/10.1007/s10590-017-9194-2 db/journals/mt/mt31.html#HillCJB17

Yoshua Bengio Thomas Mesnard Asja Fischer Saizheng Zhang Yuhuai Wu STDP-Compatible Approximation of Backpropagation in an Energy-Based Model. 555-577 2017 29 Neural Comput. 3 https://doi.org/10.1162/NECO_a_00934 https://www.wikidata.org/entity/Q48008151 db/journals/neco/neco29.html#BengioMFZW17

Xu-Yao Zhang Yoshua Bengio Cheng-Lin Liu 0001 Online and offline handwritten Chinese character recognition: A comprehensive study and new benchmark. 348-360 2017 61 Pattern Recognit. https://doi.org/10.1016/j.patcog.2016.08.005 db/journals/pr/pr61.html#ZhangBL17

Xu-Yao Zhang Guo-Sen Xie Cheng-Lin Liu 0001 Yoshua Bengio End-to-End Online Writer Identification With Recurrent Neural Network. 285-292 2017 47 IEEE Trans. Hum. Mach. Syst. 2 https://doi.org/10.1109/THMS.2016.2634921 db/journals/thms/thms47.html#ZhangXLB17

Daniel Jiwoong Im Sungjin Ahn Roland Memisevic Yoshua Bengio Denoising Criterion for Variational Auto-Encoding Framework. 2059-2065 2017 AAAI https://doi.org/10.1609/aaai.v31i1.10777 conf/aaai/2017 db/conf/aaai/aaai2017.html#ImAMB17 Iulian Vlad Serban Tim Klinger Gerald Tesauro Kartik Talamadupula Bowen Zhou 0002 Yoshua Bengio Aaron C. Courville Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation. 3288-3294 2017 AAAI https://doi.org/10.1609/aaai.v31i1.10984 conf/aaai/2017 db/conf/aaai/aaai2017.html#SerbanKTTZBC17 Iulian Vlad Serban Alessandro Sordoni Ryan Lowe Laurent Charlin Joelle Pineau Aaron C. Courville Yoshua Bengio A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues. 3295-3301 2017 AAAI https://doi.org/10.1609/aaai.v31i1.10983 conf/aaai/2017 db/conf/aaai/aaai2017.html#SerbanSLCPCB17 Ryan Lowe Michael Noseworthy Iulian Vlad Serban Nicolas Angelard-Gontier Yoshua Bengio Joelle Pineau Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses. 1116-1126 2017 ACL (1) https://doi.org/10.18653/v1/P17-1103 conf/acl/2017-1 db/conf/acl/acl2017-1.html#LoweNSABP17 Simon Jégou Michal Drozdzal David Vázquez 0001 Adriana Romero Yoshua Bengio The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation. 1175-1183 2017 CVPR Workshops https://doi.org/10.1109/CVPRW.2017.156 https://doi.ieeecomputersociety.org/10.1109/CVPRW.2017.156 conf/cvpr/2017w db/conf/cvpr/cvprw2017.html#JegouDVRB17 Anh Nguyen 0002 Jeff Clune Yoshua Bengio Alexey Dosovitskiy Jason Yosinski Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space. 3510-3520 2017 CVPR https://doi.org/10.1109/CVPR.2017.374 https://doi.ieeecomputersociety.org/10.1109/CVPR.2017.374 conf/cvpr/2017 db/conf/cvpr/cvpr2017.html#NguyenCBDY17 Mihir Mongia Kundan Kumar Akram Erraqabi Yoshua Bengio On random weights for texture generation in one layer CNNS. 2207-2211 2017 ICASSP https://doi.org/10.1109/ICASSP.2017.7952548 conf/icassp/2017 db/conf/icassp/icassp2017.html#MongiaKEB17 Mirco Ravanelli Philemon Brakel Maurizio Omologo Yoshua Bengio A network of deep neural networks for Distant Speech Recognition. 4880-4884 2017 ICASSP https://doi.org/10.1109/ICASSP.2017.7953084 conf/icassp/2017 db/conf/icassp/icassp2017.html#RavanelliBOB17 Joseph Paul Cohen Geneviève Boucher Craig A. Glastonbury Henry Z. Lo Yoshua Bengio Count-ception: Counting by Fully Convolutional Redundant Counting. 18-26 2017 ICCV Workshops https://doi.org/10.1109/ICCVW.2017.9 https://doi.ieeecomputersociety.org/10.1109/ICCVW.2017.9 conf/iccvw/2017 db/conf/iccvw/iccvw2017.html#CohenBGLB17 Guillaume Alain Yoshua Bengio Understanding intermediate layers using linear classifier probes. 2017 ICLR (Workshop) https://openreview.net/forum?id=HJ4-rAVtl conf/iclr/2017w db/conf/iclr/iclr2017w.html#AlainB17 Dzmitry Bahdanau Philemon Brakel Kelvin Xu Anirudh Goyal Ryan Lowe Joelle Pineau Aaron C. Courville Yoshua Bengio An Actor-Critic Algorithm for Sequence Prediction. 2017 ICLR (Poster) https://openreview.net/forum?id=SJDaqqveg conf/iclr/2017 db/conf/iclr/iclr2017.html#BahdanauBXGLPCB17 Tong Che Yanran Li Athul Paul Jacob Yoshua Bengio Wenjie Li 0002 Mode Regularized Generative Adversarial Networks. 2017 ICLR (Poster) https://openreview.net/forum?id=HJKkY35le conf/iclr/2017 db/conf/iclr/iclr2017.html#CheLJBL17 Junyoung Chung Sungjin Ahn Yoshua Bengio Hierarchical Multiscale Recurrent Neural Networks. 2017 ICLR (Poster) https://openreview.net/forum?id=S1di0sfgl conf/iclr/2017 db/conf/iclr/iclr2017.html#ChungAB17 Çaglar Gülçehre Marcin Moczulski Francesco Visin Yoshua Bengio Mollifying Networks. 2017 ICLR (Poster) https://openreview.net/forum?id=r1G4z8cge conf/iclr/2017 db/conf/iclr/iclr2017.html#GulcehreMVB17 David Krueger 0001 Tegan Maharaj János Kramár Mohammad Pezeshki Nicolas Ballas Nan Rosemary Ke Anirudh Goyal Yoshua Bengio Aaron C. Courville Christopher J. Pal Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations. 2017 ICLR (Poster) https://openreview.net/forum?id=rJqBEPcxe conf/iclr/2017 db/conf/iclr/iclr2017.html#KruegerMKPBKGBC17 Zhouhan Lin Minwei Feng Cícero Nogueira dos Santos Mo Yu Bing Xiang Bowen Zhou 0002 Yoshua Bengio A Structured Self-Attentive Sentence Embedding. 2017 ICLR (Poster) https://openreview.net/forum?id=BJC_jUqxe conf/iclr/2017 db/conf/iclr/iclr2017.html#LinFSYXZB17 Ryan Lowe Michael Noseworthy Iulian Vlad Serban Nicolas Angelard-Gontier Yoshua Bengio Joelle Pineau Towards an automatic Turing test: Learning to evaluate dialogue responses. 2017 ICLR (Workshop) https://openreview.net/forum?id=Sk7c3yVYg conf/iclr/2017w db/conf/iclr/iclr2017w.html#LoweNSABP17 Soroush Mehri Kundan Kumar Ishaan Gulrajani Rithesh Kumar Shubham Jain Jose Sotelo Aaron C. Courville Yoshua Bengio SampleRNN: An Unconditional End-to-End Neural Audio Generation Model. 2017 ICLR (Poster) https://openreview.net/forum?id=SkxKPDv5xl conf/iclr/2017 db/conf/iclr/iclr2017.html#MehriKGKJSCB17 Mehdi Mirza Aaron C. Courville Yoshua Bengio Generalizable Features From Unsupervised Learning. 2017 ICLR (Workshop) https://openreview.net/forum?id=BynzZolYg conf/iclr/2017w db/conf/iclr/iclr2017w.html#MirzaCB17 Adriana Romero Pierre Luc Carrier Akram Erraqabi Tristan Sylvain Alex Auvolat Etienne Dejoie Marc-André Legault Marie-Pierre Dubé Julie G. Hussin Yoshua Bengio Diet Networks: Thin Parameters for Fat Genomics. 2017 ICLR (Poster) https://openreview.net/forum?id=Sk-oDY9ge conf/iclr/2017 db/conf/iclr/iclr2017.html#RomeroCESADLDHB17 Jose Sotelo Soroush Mehri Kundan Kumar João Felipe Santos Kyle Kastner Aaron C. Courville Yoshua Bengio Char2Wav: End-to-End Speech Synthesis. 2017 ICLR (Workshop) https://openreview.net/forum?id=B1VWyySKx conf/iclr/2017w db/conf/iclr/iclr2017w.html#SoteloMKSKCB17 David Warde-Farley Yoshua Bengio Improving Generative Adversarial Networks with Denoising Feature Matching. 2017 ICLR (Poster) https://openreview.net/forum?id=S1X7nhsxl conf/iclr/2017 db/conf/iclr/iclr2017.html#Warde-FarleyB17 Devansh Arpit Stanislaw Jastrzebski Nicolas Ballas David Krueger 0001 Emmanuel Bengio Maxinder S. Kanwal Tegan Maharaj Asja Fischer Aaron C. Courville Yoshua Bengio Simon Lacoste-Julien A Closer Look at Memorization in Deep Networks. 233-242 2017 ICML http://proceedings.mlr.press/v70/arpit17a.html conf/icml/2017 db/conf/icml/icml2017.html#ArpitJBKBKMFCBL17 Laurent Dinh Razvan Pascanu Samy Bengio Yoshua Bengio Sharp Minima Can Generalize For Deep Nets. 1019-1028 2017 ICML http://proceedings.mlr.press/v70/dinh17b.html conf/icml/2017 db/conf/icml/icml2017.html#DinhPBB17 Çaglar Gülçehre Jose Sotelo Marcin Moczulski Yoshua Bengio A robust adaptive stochastic gradient method for deep learning. 125-132 2017 IJCNN https://doi.org/10.1109/IJCNN.2017.7965845 conf/ijcnn/2017 db/conf/ijcnn/ijcnn2017.html#GulcehreSMB17 Mirco Ravanelli Philemon Brakel Maurizio Omologo Yoshua Bengio Improving Speech Recognition by Revising Gated Recurrent Units. 1308-1312 2017 INTERSPEECH https://doi.org/10.21437/Interspeech.2017-775 conf/interspeech/2017 db/conf/interspeech/interspeech2017.html#RavanelliBOB17 Taesup Kim Inchul Song Yoshua Bengio Dynamic Layer Normalization for Adaptive Neural Acoustic Modeling in Speech Recognition. 2411-2415 2017 INTERSPEECH https://doi.org/10.21437/Interspeech.2017-556 conf/interspeech/2017 db/conf/interspeech/interspeech2017.html#KimSB17 Yoshua Bengio Towards more hardware-friendly deep learning. 5 2017 TIML@ISCA https://doi.org/10.1145/3149166.3149171 conf/isca/2017timl db/conf/isca/timl2017.html#Bengio17 Anirudh Goyal Nan Rosemary Ke Surya Ganguli Yoshua Bengio Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net. 4392-4402 2017 NIPS https://proceedings.neurips.cc/paper/2017/hash/46a558d97954d0692411c861cf78ef79-Abstract.html http://papers.nips.cc/paper/7026-variational-walkback-learning-a-transition-operator-as-a-stochastic-recurrent-net conf/nips/2017 db/conf/nips/nips2017.html#GoyalKGB17 Alex Lamb R. Devon Hjelm Yaroslav Ganin Joseph Paul Cohen Aaron C. Courville Yoshua Bengio GibbsNet: Iterative Adversarial Inference for Deep Graphical Models. 5089-5098 2017 NIPS https://proceedings.neurips.cc/paper/2017/hash/30f8f6b940d1073d8b6a5eebc46dd6e5-Abstract.html http://papers.nips.cc/paper/7094-gibbsnet-iterative-adversarial-inference-for-deep-graphical-models conf/nips/2017 db/conf/nips/nips2017.html#LambHGCCB17 Çaglar Gülçehre Francis Dutil Adam Trischler Yoshua Bengio Plan, Attend, Generate: Planning for Sequence-to-Sequence Models. 5474-5483 2017 NIPS https://proceedings.neurips.cc/paper/2017/hash/b030afbb3a8af8fb0759241c97466ee4-Abstract.html http://papers.nips.cc/paper/7131-plan-attend-generate-planning-for-sequence-to-sequence-models conf/nips/2017 db/conf/nips/nips2017.html#GulcehreDTB17 Anirudh Goyal Alessandro Sordoni Marc-Alexandre Côté Nan Rosemary Ke Yoshua Bengio Z-Forcing: Training Stochastic Recurrent Networks. 6713-6723 2017 NIPS https://proceedings.neurips.cc/paper/2017/hash/900c563bfd2c48c16701acca83ad858a-Abstract.html http://papers.nips.cc/paper/7248-z-forcing-training-stochastic-recurrent-networks conf/nips/2017 db/conf/nips/nips2017.html#GoyalSCKB17 Çaglar Gülçehre Francis Dutil Adam Trischler Yoshua Bengio Plan, Attend, Generate: Character-Level Neural Machine Translation with Planning. 228-234 2017 Rep4NLP@ACL https://doi.org/10.18653/v1/w17-2627 https://aclanthology.org/W17-2627/ conf/rep4nlp/2017 db/conf/rep4nlp/rep4nlp2017.html#GulcehreDTB17

Ying Zhang 0033 Mohammad Pezeshki Philemon Brakel Saizheng Zhang César Laurent Yoshua Bengio Aaron C. Courville Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks. 2017 abs/1701.02720 CoRR http://arxiv.org/abs/1701.02720 db/journals/corr/corr1701.html#ZhangPBZLBC17

Çaglar Gülçehre Sarath Chandar Yoshua Bengio Memory Augmented Neural Networks with Wormhole Connections. 2017 abs/1701.08718 CoRR http://arxiv.org/abs/1701.08718 db/journals/corr/corr1701.html#GulcehreCB17

Michal Drozdzal Gabriel Chartrand Eugene Vorontsov Lisa Di-Jorio An Tang Adriana Romero Yoshua Bengio Chris Pal Samuel Kadoury Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation. 2017 abs/1702.05174 CoRR http://arxiv.org/abs/1702.05174 db/journals/corr/corr1702.html#DrozdzalCVDTRBP17

Tong Che Yanran Li Ruixiang Zhang R. Devon Hjelm Wenjie Li 0002 Yangqiu Song Yoshua Bengio Maximum-Likelihood Augmented Discrete Generative Adversarial Networks. 2017 abs/1702.07983 CoRR http://arxiv.org/abs/1702.07983 db/journals/corr/corr1702.html#CheLZHLSB17

R. Devon Hjelm Athul Paul Jacob Tong Che Kyunghyun Cho Yoshua Bengio Boundary-Seeking Generative Adversarial Networks. 2017 abs/1702.08431 CoRR http://arxiv.org/abs/1702.08431 db/journals/corr/corr1702.html#HjelmJCCB17

Çaglar Gülçehre Jose Sotelo Marcin Moczulski Yoshua Bengio A Robust Adaptive Stochastic Gradient Method for Deep Learning. 2017 abs/1703.00788 CoRR http://arxiv.org/abs/1703.00788 db/journals/corr/corr1703.html#GulcehreSMB17

Zhouhan Lin Minwei Feng Cícero Nogueira dos Santos Mo Yu Bing Xiang Bowen Zhou 0002 Yoshua Bengio A Structured Self-attentive Sentence Embedding. 2017 abs/1703.03130 CoRR http://arxiv.org/abs/1703.03130 db/journals/corr/corr1703.html#LinFSYXZB17

Laurent Dinh Razvan Pascanu Samy Bengio Yoshua Bengio Sharp Minima Can Generalize For Deep Nets. 2017 abs/1703.04933 CoRR http://arxiv.org/abs/1703.04933 db/journals/corr/corr1703.html#DinhPBB17

Emmanuel Bengio Valentin Thomas Joelle Pineau Doina Precup Yoshua Bengio Independently Controllable Features. 2017 abs/1703.07718 CoRR http://arxiv.org/abs/1703.07718 db/journals/corr/corr1703.html#BengioTPPB17

Mirco Ravanelli Philemon Brakel Maurizio Omologo Yoshua Bengio A network of deep neural networks for distant speech recognition. 2017 abs/1703.08002 CoRR http://arxiv.org/abs/1703.08002 db/journals/corr/corr1703.html#RavanelliBOB17

Mirco Ravanelli Philemon Brakel Maurizio Omologo Yoshua Bengio Batch-normalized joint training for DNN-based distant speech recognition. 2017 abs/1703.08471 CoRR http://arxiv.org/abs/1703.08471 db/journals/corr/corr1703.html#RavanelliBOB17a

Joseph Paul Cohen Henry Z. Lo Yoshua Bengio Count-ception: Counting by Fully Convolutional Redundant Counting. 2017 abs/1703.08710 CoRR http://arxiv.org/abs/1703.08710 db/journals/corr/corr1703.html#CohenLB17

Adriana Romero Michal Drozdzal Akram Erraqabi Simon Jégou Yoshua Bengio Image Segmentation by Iterative Inference from Conditional Score Estimation. 2017 abs/1705.07450 CoRR http://arxiv.org/abs/1705.07450 db/journals/corr/corr1705.html#RomeroDEJB17

Chiheb Trabelsi Olexa Bilaniuk Dmitriy Serdyuk Sandeep Subramanian João Felipe Santos Soroush Mehri Negar Rostamzadeh Yoshua Bengio Christopher J. Pal Deep Complex Networks. 2017 abs/1705.09792 CoRR http://arxiv.org/abs/1705.09792 db/journals/corr/corr1705.html#TrabelsiBSSSMRB17

Margaux Luck Tristan Sylvain Héloïse Cardinal Andrea Lodi 0001 Yoshua Bengio Deep Learning for Patient-Specific Kidney Graft Survival Analysis. 2017 abs/1705.10245 CoRR http://arxiv.org/abs/1705.10245 db/journals/corr/corr1705.html#LuckSCLB17

Dzmitry Bahdanau Tom Bosc Stanislaw Jastrzebski Edward Grefenstette Pascal Vincent Yoshua Bengio Learning to Compute Word Embeddings On the Fly. 2017 abs/1706.00286 CoRR http://arxiv.org/abs/1706.00286 db/journals/corr/corr1706.html#BahdanauBJGVB17

Li Jing 0001 Çaglar Gülçehre John Peurifoy Yichen Shen 0001 Max Tegmark Marin Soljacic Yoshua Bengio Gated Orthogonal Recurrent Units: On Learning to Forget. 2017 abs/1706.02761 CoRR http://arxiv.org/abs/1706.02761 db/journals/corr/corr1706.html#JingGPSTSB17

Çaglar Gülçehre Francis Dutil Adam Trischler Yoshua Bengio Plan, Attend, Generate: Character-level Neural Machine Translation with Planning in the Decoder. 2017 abs/1706.05087 CoRR http://arxiv.org/abs/1706.05087 db/journals/corr/corr1706.html#GulcehreDTB17

Devansh Arpit Stanislaw Jastrzebski Nicolas Ballas David Krueger 0001 Emmanuel Bengio Maxinder S. Kanwal Tegan Maharaj Asja Fischer Aaron C. Courville Yoshua Bengio Simon Lacoste-Julien A Closer Look at Memorization in Deep Networks. 2017 abs/1706.05394 CoRR http://arxiv.org/abs/1706.05394 db/journals/corr/corr1706.html#ArpitJBKBKMFCBL17

Bart van Merriënboer Amartya Sanyal Hugo Larochelle Yoshua Bengio Multiscale sequence modeling with a learned dictionary. 2017 abs/1707.00762 CoRR http://arxiv.org/abs/1707.00762 db/journals/corr/corr1707.html#MerrienboerSLB17

Taesup Kim Inchul Song Yoshua Bengio Dynamic Layer Normalization for Adaptive Neural Acoustic Modeling in Speech Recognition. 2017 abs/1707.06065 CoRR http://arxiv.org/abs/1707.06065 db/journals/corr/corr1707.html#KimSB17

Valentin Thomas Jules Pondard Emmanuel Bengio Marc Sarfati Philippe Beaudoin Marie-Jean Meurs Joelle Pineau Doina Precup Yoshua Bengio Independently Controllable Factors. 2017 abs/1708.01289 CoRR http://arxiv.org/abs/1708.01289 db/journals/corr/corr1708.html#abs-1708-01289

Dmitriy Serdyuk Nan Rosemary Ke Alessandro Sordoni Chris Pal Yoshua Bengio Twin Networks: Using the Future as a Regularizer. 2017 abs/1708.06742 CoRR http://arxiv.org/abs/1708.06742 db/journals/corr/corr1708.html#abs-1708-06742

Ryan Lowe Michael Noseworthy Iulian Vlad Serban Nicolas Angelard-Gontier Yoshua Bengio Joelle Pineau Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses. 2017 abs/1708.07149 CoRR http://arxiv.org/abs/1708.07149 db/journals/corr/corr1708.html#abs-1708-07149

Iulian Vlad Serban Chinnadhurai Sankar Mathieu Germain Saizheng Zhang Zhouhan Lin Sandeep Subramanian Taesup Kim Michael Pieper Sarath Chandar Nan Rosemary Ke Sai Mudumba Alexandre de Brébisson Jose Sotelo Dendi Suhubdy Vincent Michalski Alexandre Nguyen Joelle Pineau Yoshua Bengio A Deep Reinforcement Learning Chatbot. 2017 abs/1709.02349 CoRR http://arxiv.org/abs/1709.02349 db/journals/corr/corr1709.html#abs-1709-02349

Yoshua Bengio The Consciousness Prior. 2017 abs/1709.08568 CoRR http://arxiv.org/abs/1709.08568 db/journals/corr/corr1709.html#abs-1709-08568

Mirco Ravanelli Philemon Brakel Maurizio Omologo Yoshua Bengio Improving speech recognition by revising gated recurrent units. 2017 abs/1710.00641 CoRR http://arxiv.org/abs/1710.00641 db/journals/corr/corr1710.html#abs-1710-00641

Stanislaw Jastrzebski Devansh Arpit Nicolas Ballas Vikas Verma Tong Che Yoshua Bengio Residual Connections Encourage Iterative Inference. 2017 abs/1710.04773 CoRR http://arxiv.org/abs/1710.04773 db/journals/corr/corr1710.html#abs-1710-04773

Kenji Kawaguchi Leslie Pack Kaelbling Yoshua Bengio Generalization in Deep Learning. 2017 abs/1710.05468 CoRR http://arxiv.org/abs/1710.05468 db/journals/corr/corr1710.html#abs-1710-05468

Samira Ebrahimi Kahou Adam Atkinson Vincent Michalski Ákos Kádár Adam Trischler Yoshua Bengio FigureQA: An Annotated Figure Dataset for Visual Reasoning. 2017 abs/1710.07300 CoRR http://arxiv.org/abs/1710.07300 db/journals/corr/corr1710.html#abs-1710-07300

Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Liò Yoshua Bengio Graph Attention Networks. 2017 abs/1710.10903 CoRR http://arxiv.org/abs/1710.10903 db/journals/corr/corr1710.html#abs-1710-10903

Konrad Zolna Devansh Arpit Dendi Suhubdy Yoshua Bengio Fraternal Dropout. 2017 abs/1711.00066 CoRR http://arxiv.org/abs/1711.00066 db/journals/corr/corr1711.html#abs-1711-00066

Stylianos Ioannis Mimilakis Konstantinos Drossos João Felipe Santos Gerald Schuller Tuomas Virtanen Yoshua Bengio Monaural Singing Voice Separation with Skip-Filtering Connections and Recurrent Inference of Time-Frequency Mask. 2017 abs/1711.01437 CoRR http://arxiv.org/abs/1711.01437 db/journals/corr/corr1711.html#abs-1711-01437

Anirudh Goyal Nan Rosemary Ke Surya Ganguli Yoshua Bengio Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net. 2017 abs/1711.02282 CoRR http://arxiv.org/abs/1711.02282 db/journals/corr/corr1711.html#abs-1711-02282

Nan Rosemary Ke Anirudh Goyal Olexa Bilaniuk Jonathan Binas Laurent Charlin Chris Pal Yoshua Bengio Sparse Attentive Backtracking: Long-Range Credit Assignment in Recurrent Networks. 2017 abs/1711.02326 CoRR http://arxiv.org/abs/1711.02326 db/journals/corr/corr1711.html#abs-1711-02326

Stanislaw Jastrzebski Zachary Kenton Devansh Arpit Nicolas Ballas Asja Fischer Yoshua Bengio Amos J. Storkey Three Factors Influencing Minima in SGD. 2017 abs/1711.04623 CoRR http://arxiv.org/abs/1711.04623 db/journals/corr/corr1711.html#abs-1711-04623

Anirudh Goyal Nan Rosemary Ke Alex Lamb R. Devon Hjelm Chris Pal Joelle Pineau Yoshua Bengio ACtuAL: Actor-Critic Under Adversarial Learning. 2017 abs/1711.04755 CoRR http://arxiv.org/abs/1711.04755 db/journals/corr/corr1711.html#abs-1711-04755

Anirudh Goyal Alessandro Sordoni Marc-Alexandre Côté Nan Rosemary Ke Yoshua Bengio Z-Forcing: Training Stochastic Recurrent Networks. 2017 abs/1711.05411 CoRR http://arxiv.org/abs/1711.05411 db/journals/corr/corr1711.html#abs-1711-05411

Samira Shabanian Devansh Arpit Adam Trischler Yoshua Bengio Variational Bi-LSTMs. 2017 abs/1711.05717 CoRR http://arxiv.org/abs/1711.05717 db/journals/corr/corr1711.html#abs-1711-05717

Benjamin Scellier Yoshua Bengio Equivalence of Equilibrium Propagation and Recurrent Backpropagation. 2017 abs/1711.08416 CoRR http://arxiv.org/abs/1711.08416 db/journals/corr/corr1711.html#abs-1711-08416

Francis Dutil Çaglar Gülçehre Adam Trischler Yoshua Bengio Plan, Attend, Generate: Planning for Sequence-to-Sequence Models. 2017 abs/1711.10462 CoRR http://arxiv.org/abs/1711.10462 db/journals/corr/corr1711.html#abs-1711-10462

Jason Jo Yoshua Bengio Measuring the tendency of CNNs to Learn Surface Statistical Regularities. 2017 abs/1711.11561 CoRR http://arxiv.org/abs/1711.11561 db/journals/corr/corr1711.html#abs-1711-11561

Alex Lamb R. Devon Hjelm Yaroslav Ganin Joseph Paul Cohen Aaron C. Courville Yoshua Bengio GibbsNet: Iterative Adversarial Inference for Deep Graphical Models. 2017 abs/1712.04120 CoRR http://arxiv.org/abs/1712.04120 db/journals/corr/corr1712.html#abs-1712-04120

Ian J. Goodfellow Yoshua Bengio Aaron C. Courville Deep Learning. 1-775 MIT Press 2016 Adaptive computation and machine learning 978-0-262-03561-3 http://www.deeplearningbook.org/ https://mitpress.mit.edu/books/deep-learning

Çaglar Gülçehre Yoshua Bengio Knowledge Matters: Importance of Prior Information for Optimization. 8:1-8:32 2016 17 J. Mach. Learn. Res. https://jmlr.org/papers/v17/gulchere16a.html db/journals/jmlr/jmlr17.html#GulcehreB16

Samira Ebrahimi Kahou Xavier Bouthillier Pascal Lamblin Çaglar Gülçehre Vincent Michalski Kishore Konda Sébastien Jean Pierre Froumenty Yann N. Dauphin Nicolas Boulanger-Lewandowski Raul Chandias Ferrari Mehdi Mirza David Warde-Farley Aaron C. Courville Pascal Vincent Roland Memisevic Christopher Joseph Pal Yoshua Bengio EmoNets: Multimodal deep learning approaches for emotion recognition in video. 99-111 2016 10 J. Multimodal User Interfaces 2 https://doi.org/10.1007/s12193-015-0195-2 db/journals/jmui/jmui10.html#KahouBLGMKJFDBF16

Simon Haykin 0001 Stephen J. Wright 0001 Yoshua Bengio Big Data: Theoretical Aspects [Scanning the Issue]. 8-10 2016 104 Proc. IEEE 1 https://doi.org/10.1109/JPROC.2015.2507658 db/journals/pieee/pieee104.html#HaykinWB16

Felix Hill KyungHyun Cho Anna Korhonen Yoshua Bengio Learning to Understand Phrases by Embedding the Dictionary. 17-30 2016 4 Trans. Assoc. Comput. Linguistics https://doi.org/10.1162/tacl_a_00080 https://www.wikidata.org/entity/Q125760085 db/journals/tacl/tacl4.html#HillCKB16

Iulian Vlad Serban Alessandro Sordoni Yoshua Bengio Aaron C. Courville Joelle Pineau Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models. 3776-3784 2016 AAAI https://doi.org/10.1609/aaai.v30i1.9883 conf/aaai/2016 db/conf/aaai/aaai2016.html#SerbanSBCP16 Junyoung Chung Kyunghyun Cho Yoshua Bengio A Character-level Decoder without Explicit Segmentation for Neural Machine Translation. 2016 ACL (1) https://doi.org/10.18653/v1/p16-1160 https://aclanthology.org/P16-1160/ conf/acl/2016-1 db/conf/acl/acl2016-1.html#ChungCB16 Çaglar Gülçehre Sungjin Ahn Ramesh Nallapati Bowen Zhou 0002 Yoshua Bengio Pointing the Unknown Words. 2016 ACL (1) https://doi.org/10.18653/v1/p16-1014 https://aclanthology.org/P16-1014/ conf/acl/2016-1 db/conf/acl/acl2016-1.html#GulcehreANZB16 Iulian Vlad Serban Alberto García-Durán Çaglar Gülçehre Sungjin Ahn Sarath Chandar Aaron C. Courville Yoshua Bengio Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus. 2016 ACL (1) https://doi.org/10.18653/v1/p16-1056 https://aclanthology.org/P16-1056/ conf/acl/2016-1 db/conf/acl/acl2016-1.html#SerbanGGACCB16 Li Yao Nicolas Ballas Kyunghyun Cho John R. Smith Yoshua Bengio Oracle Performance for Visual Captioning. 2016 BMVC https://bmva-archive.org.uk/bmvc/2016/papers/paper141/index.html conf/bmvc/2016 db/conf/bmvc/bmvc2016.html#YaoBCSB16 Francesco Visin Adriana Romero Kyunghyun Cho Matteo Matteucci Marco Ciccone Kyle Kastner Yoshua Bengio Aaron C. Courville ReSeg: A Recurrent Neural Network-Based Model for Semantic Segmentation. 426-433 2016 CVPR Workshops https://doi.org/10.1109/CVPRW.2016.60 https://doi.ieeecomputersociety.org/10.1109/CVPRW.2016.60 conf/cvpr/2016w db/conf/cvpr/cvprw2016.html#VisinRCMCKBC16 César Laurent Gabriel Pereyra Philemon Brakel Ying Zhang 0033 Yoshua Bengio Batch normalized recurrent neural networks. 2657-2661 2016 ICASSP https://doi.org/10.1109/ICASSP.2016.7472159 conf/icassp/2016 db/conf/icassp/icassp2016.html#LaurentPBZB16 Dzmitry Bahdanau Jan Chorowski Dmitriy Serdyuk Philemon Brakel Yoshua Bengio End-to-end attention-based large vocabulary speech recognition. 4945-4949 2016 ICASSP https://doi.org/10.1109/ICASSP.2016.7472618 conf/icassp/2016 db/conf/icassp/icassp2016.html#BahdanauCSBB16 Martín Arjovsky Amar Shah 0001 Yoshua Bengio Unitary Evolution Recurrent Neural Networks. 1120-1128 2016 ICML http://proceedings.mlr.press/v48/arjovsky16.html conf/icml/2016 db/conf/icml/icml2016.html#ArjovskySB16 Mohammad Pezeshki Linxi Fan Philemon Brakel Aaron C. Courville Yoshua Bengio Deconstructing the Ladder Network Architecture. 2368-2376 2016 ICML http://proceedings.mlr.press/v48/pezeshki16.html conf/icml/2016 db/conf/icml/icml2016.html#PezeshkiFBCB16 Jörg Bornschein Samira Shabanian Asja Fischer Yoshua Bengio Bidirectional Helmholtz Machines. 2511-2519 2016 ICML http://proceedings.mlr.press/v48/bornschein16.html conf/icml/2016 db/conf/icml/icml2016.html#BornscheinSFB16 Çaglar Gülçehre Marcin Moczulski Misha Denil Yoshua Bengio Noisy Activation Functions. 3059-3068 2016 ICML http://proceedings.mlr.press/v48/gulcehre16.html conf/icml/2016 db/conf/icml/icml2016.html#GulcehreMDB16 Ying Zhang 0033 Mohammad Pezeshki Philémon Brakel Saizheng Zhang César Laurent Yoshua Bengio Aaron C. 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Orhan Firat KyungHyun Cho Yoshua Bengio Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism. 2016 abs/1601.01073 CoRR http://arxiv.org/abs/1601.01073 db/journals/corr/corr1601.html#FiratCB16

Matthieu Courbariaux Yoshua Bengio BinaryNet: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1. 2016 abs/1602.02830 CoRR http://arxiv.org/abs/1602.02830 db/journals/corr/corr1602.html#CourbariauxB16

Benjamin Scellier Yoshua Bengio Towards a Biologically Plausible Backprop. 2016 abs/1602.05179 CoRR http://arxiv.org/abs/1602.05179 db/journals/corr/corr1602.html#ScellierB16

Saizheng Zhang Yuhuai Wu Tong Che Zhouhan Lin Roland Memisevic Ruslan Salakhutdinov Yoshua Bengio Architectural Complexity Measures of Recurrent Neural Networks. 2016 abs/1602.08210 CoRR http://arxiv.org/abs/1602.08210 db/journals/corr/corr1602.html#ZhangWCLMSB16

Çaglar Gülçehre Marcin Moczulski Misha Denil Yoshua Bengio Noisy Activation Functions. 2016 abs/1603.00391 CoRR http://arxiv.org/abs/1603.00391 db/journals/corr/corr1603.html#GulcehreMDB16

Junyoung Chung Kyunghyun Cho Yoshua Bengio A Character-level Decoder without Explicit Segmentation for Neural Machine Translation. 2016 abs/1603.06147 CoRR http://arxiv.org/abs/1603.06147 db/journals/corr/corr1603.html#ChungCB16

Iulian Vlad Serban Alberto García-Durán Çaglar Gülçehre Sungjin Ahn Sarath Chandar Aaron C. Courville Yoshua Bengio Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus. 2016 abs/1603.06807 CoRR http://arxiv.org/abs/1603.06807 db/journals/corr/corr1603.html#SerbanGGACCB16

Çaglar Gülçehre Sungjin Ahn Ramesh Nallapati Bowen Zhou 0002 Yoshua Bengio Pointing the Unknown Words. 2016 abs/1603.08148 CoRR http://arxiv.org/abs/1603.08148 db/journals/corr/corr1603.html#GulcehreANZB16

Rami Al-Rfou Guillaume Alain Amjad Almahairi Christof Angermüller Dzmitry Bahdanau Nicolas Ballas Frédéric Bastien Justin Bayer Anatoly Belikov Alexander Belopolsky Yoshua Bengio Arnaud Bergeron James Bergstra Valentin Bisson Josh Bleecher Snyder Nicolas Bouchard Nicolas Boulanger-Lewandowski Xavier Bouthillier Alexandre de Brébisson Olivier Breuleux Pierre Luc Carrier Kyunghyun Cho Jan Chorowski Paul F. Christiano Tim Cooijmans Marc-Alexandre Côté Myriam Côté Aaron C. Courville Yann N. Dauphin Olivier Delalleau Julien Demouth Guillaume Desjardins Sander Dieleman Laurent Dinh Melanie Ducoffe Vincent Dumoulin Samira Ebrahimi Kahou Dumitru Erhan Ziye Fan Orhan Firat Mathieu Germain Xavier Glorot Ian J. Goodfellow Matthew Graham Çaglar Gülçehre Philippe Hamel Iban Harlouchet Jean-Philippe Heng Balázs Hidasi Sina Honari Arjun Jain Sébastien Jean Kai Jia Mikhail Korobov Vivek Kulkarni Alex Lamb Pascal Lamblin Eric Larsen César Laurent Sean Lee Simon Lefrançois Simon Lemieux Nicholas Léonard Zhouhan Lin Jesse A. Livezey Cory Lorenz Jeremiah Lowin Qianli Ma Pierre-Antoine Manzagol Olivier Mastropietro Robert McGibbon Roland Memisevic Bart van Merriënboer Vincent Michalski Mehdi Mirza Alberto Orlandi Christopher Joseph Pal Razvan Pascanu Mohammad Pezeshki Colin Raffel Daniel Renshaw Matthew Rocklin Adriana Romero Markus Roth Peter Sadowski John Salvatier François Savard Jan Schlüter John Schulman Gabriel Schwartz Iulian Vlad Serban Dmitriy Serdyuk Samira Shabanian Étienne Simon Sigurd Spieckermann S. Ramana Subramanyam Jakub Sygnowski Jérémie Tanguay Gijs van Tulder Joseph P. Turian Sebastian Urban Pascal Vincent Francesco Visin Harm de Vries David Warde-Farley Dustin J. Webb Matthew Willson Kelvin Xu Lijun Xue Li Yao Saizheng Zhang Ying Zhang 0033 Theano: A Python framework for fast computation of mathematical expressions. 2016 abs/1605.02688 CoRR http://arxiv.org/abs/1605.02688 db/journals/corr/corr1605.html#Al-RfouAAa16

Iulian Vlad Serban Alessandro Sordoni Ryan Lowe Laurent Charlin Joelle Pineau Aaron C. Courville Yoshua Bengio A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues. 2016 abs/1605.06069 CoRR http://arxiv.org/abs/1605.06069 db/journals/corr/corr1605.html#SerbanSLCPCB16

Sarath Chandar Sungjin Ahn Hugo Larochelle Pascal Vincent Gerald Tesauro Yoshua Bengio Hierarchical Memory Networks. 2016 abs/1605.07427 CoRR http://arxiv.org/abs/1605.07427 db/journals/corr/corr1605.html#ChandarALVTB16

Iulian Vlad Serban Tim Klinger Gerald Tesauro Kartik Talamadupula Bowen Zhou 0002 Yoshua Bengio Aaron C. Courville Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation. 2016 abs/1606.00776 CoRR http://arxiv.org/abs/1606.00776 db/journals/corr/corr1606.html#SerbanKTTZBC16

David Krueger 0001 Tegan Maharaj János Kramár Mohammad Pezeshki Nicolas Ballas Nan Rosemary Ke Anirudh Goyal Yoshua Bengio Hugo Larochelle Aaron C. Courville Chris Pal Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations. 2016 abs/1606.01305 CoRR http://arxiv.org/abs/1606.01305 db/journals/corr/corr1606.html#KruegerMKPBKGBL16

Yoshua Bengio Benjamin Scellier Olexa Bilaniuk João Sacramento Walter Senn Feedforward Initialization for Fast Inference of Deep Generative Networks is biologically plausible. 2016 abs/1606.01651 CoRR http://arxiv.org/abs/1606.01651 db/journals/corr/corr1606.html#BengioSBSS16

Alessandro Sordoni Philip Bachman Yoshua Bengio Iterative Alternating Neural Attention for Machine Reading. 2016 abs/1606.02245 CoRR http://arxiv.org/abs/1606.02245 db/journals/corr/corr1606.html#SordoniBB16

Taesup Kim Yoshua Bengio Deep Directed Generative Models with Energy-Based Probability Estimation. 2016 abs/1606.03439 CoRR http://arxiv.org/abs/1606.03439 db/journals/corr/corr1606.html#KimB16

Xu-Yao Zhang Yoshua Bengio Cheng-Lin Liu 0001 Online and Offline Handwritten Chinese Character Recognition: A Comprehensive Study and New Benchmark. 2016 abs/1606.05763 CoRR http://arxiv.org/abs/1606.05763 db/journals/corr/corr1606.html#ZhangBL16

Xu-Yao Zhang Fei Yin Yan-Ming Zhang 0001 Cheng-Lin Liu 0001 Yoshua Bengio Drawing and Recognizing Chinese Characters with Recurrent Neural Network. 2016 abs/1606.06539 CoRR http://arxiv.org/abs/1606.06539 db/journals/corr/corr1606.html#ZhangYZLB16

Yuhuai Wu Saizheng Zhang Ying Zhang 0033 Yoshua Bengio Ruslan Salakhutdinov On Multiplicative Integration with Recurrent Neural Networks. 2016 abs/1606.06630 CoRR http://arxiv.org/abs/1606.06630 db/journals/corr/corr1606.html#WuZZBS16

Çaglar Gülçehre Sarath Chandar Kyunghyun Cho Yoshua Bengio Dynamic Neural Turing Machine with Soft and Hard Addressing Schemes. 2016 abs/1607.00036 CoRR http://arxiv.org/abs/1607.00036 db/journals/corr/corr1607.html#GulcehreCCB16

Heeyoul Choi Kyunghyun Cho Yoshua Bengio Context-Dependent Word Representation for Neural Machine Translation. 2016 abs/1607.00578 CoRR http://arxiv.org/abs/1607.00578 db/journals/corr/corr1607.html#ChoiCB16

Mohammad Havaei Nicolas Guizard Nicolas Chapados Yoshua Bengio HeMIS: Hetero-Modal Image Segmentation. 2016 abs/1607.05194 CoRR http://arxiv.org/abs/1607.05194 db/journals/corr/corr1607.html#HavaeiGCB16

Dzmitry Bahdanau Philemon Brakel Kelvin Xu Anirudh Goyal Ryan Lowe Joelle Pineau Aaron C. Courville Yoshua Bengio An Actor-Critic Algorithm for Sequence Prediction. 2016 abs/1607.07086 CoRR http://arxiv.org/abs/1607.07086 db/journals/corr/corr1607.html#BahdanauBXGLPCB16

Sungjin Ahn Heeyoul Choi Tanel Pärnamaa Yoshua Bengio A Neural Knowledge Language Model. 2016 abs/1608.00318 CoRR http://arxiv.org/abs/1608.00318 db/journals/corr/corr1608.html#AhnCPB16

Çaglar Gülçehre Marcin Moczulski Francesco Visin Yoshua Bengio Mollifying Networks. 2016 abs/1608.04980 CoRR http://arxiv.org/abs/1608.04980 db/journals/corr/corr1608.html#GulcehreMVB16

Joachim Ott Zhouhan Lin Ying Zhang 0033 Shih-Chii Liu Yoshua Bengio Recurrent Neural Networks With Limited Numerical Precision. 2016 abs/1608.06902 CoRR http://arxiv.org/abs/1608.06902 db/journals/corr/corr1608.html#OttLZLB16

Junyoung Chung Sungjin Ahn Yoshua Bengio Hierarchical Multiscale Recurrent Neural Networks. 2016 abs/1609.01704 CoRR http://arxiv.org/abs/1609.01704 db/journals/corr/corr1609.html#ChungAB16

Itay Hubara Matthieu Courbariaux Daniel Soudry Ran El-Yaniv Yoshua Bengio Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations. 2016 abs/1609.07061 CoRR http://arxiv.org/abs/1609.07061 db/journals/corr/corr1609.html#HubaraCSEB16

Guillaume Alain Yoshua Bengio Understanding intermediate layers using linear classifier probes. 2016 abs/1610.01644 CoRR http://arxiv.org/abs/1610.01644 db/journals/corr/corr1610.html#AlainB16

Alex Lamb Anirudh Goyal Ying Zhang 0033 Saizheng Zhang Aaron C. Courville Yoshua Bengio Professor Forcing: A New Algorithm for Training Recurrent Networks. 2016 abs/1610.09038 CoRR http://arxiv.org/abs/1610.09038 db/journals/corr/corr1610.html#LambGZZCB16

Joachim Ott Zhouhan Lin Ying Zhang 0033 Shih-Chii Liu Yoshua Bengio Recurrent Neural Networks With Limited Numerical Precision. 2016 abs/1611.07065 CoRR http://arxiv.org/abs/1611.07065 db/journals/corr/corr1611.html#OttLZLB16a

Simon Jégou Michal Drozdzal David Vázquez 0001 Adriana Romero Yoshua Bengio The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation. 2016 abs/1611.09326 CoRR http://arxiv.org/abs/1611.09326 db/journals/corr/corr1611.html#JegouDVRB16

Adriana Romero Pierre Luc Carrier Akram Erraqabi Tristan Sylvain Alex Auvolat Etienne Dejoie Marc-André Legault Marie-Pierre Dubé Julie G. Hussin Yoshua Bengio Diet Networks: Thin Parameters for Fat Genomic. 2016 abs/1611.09340 CoRR http://arxiv.org/abs/1611.09340 db/journals/corr/corr1611.html#RomeroCESADLDHB16

Anh Nguyen 0002 Jason Yosinski Yoshua Bengio Alexey Dosovitskiy Jeff Clune Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space. 2016 abs/1612.00005 CoRR http://arxiv.org/abs/1612.00005 db/journals/corr/corr1612.html#NguyenYBDC16

Dmitriy Serdyuk Kartik Audhkhasi Philemon Brakel Bhuvana Ramabhadran Samuel Thomas 0001 Yoshua Bengio Invariant Representations for Noisy Speech Recognition. 2016 abs/1612.01928 CoRR http://arxiv.org/abs/1612.01928 db/journals/corr/corr1612.html#SerdyukABRTB16

Tong Che Yanran Li Athul Paul Jacob Yoshua Bengio Wenjie Li 0002 Mode Regularized Generative Adversarial Networks. 2016 abs/1612.02136 CoRR http://arxiv.org/abs/1612.02136 db/journals/corr/corr1612.html#CheLJBL16

Mehdi Mirza Aaron C. Courville Yoshua Bengio Generalizable Features From Unsupervised Learning. 2016 abs/1612.03809 CoRR http://arxiv.org/abs/1612.03809 db/journals/corr/corr1612.html#MirzaCB16

Mihir Mongia Kundan Kumar Akram Erraqabi Yoshua Bengio On Random Weights for Texture Generation in One Layer Neural Networks. 2016 abs/1612.06070 CoRR http://arxiv.org/abs/1612.06070 db/journals/corr/corr1612.html#MongiaKEB16

Soroush Mehri Kundan Kumar Ishaan Gulrajani Rithesh Kumar Shubham Jain Jose Sotelo Aaron C. Courville Yoshua Bengio SampleRNN: An Unconditional End-to-End Neural Audio Generation Model. 2016 abs/1612.07837 CoRR http://arxiv.org/abs/1612.07837 db/journals/corr/corr1612.html#MehriKGKJSCB16

Yann LeCun Yoshua Bengio Geoffrey E. Hinton Deep learning. 436-444 2015 521 Nat. 7553 https://doi.org/10.1038/nature14539 https://www.wikidata.org/entity/Q28018765 db/journals/nature/nature521.html#LeCunBH15

Yoshua Bengio Honglak Lee Editorial introduction to the Neural Networks special issue on Deep Learning of Representations. 1-3 2015 64 Neural Networks https://doi.org/10.1016/j.neunet.2014.12.006 https://www.wikidata.org/entity/Q50606921 db/journals/nn/nn64.html#BengioL15

Ian J. Goodfellow Dumitru Erhan Pierre Luc Carrier Aaron C. Courville Mehdi Mirza Benjamin Hamner William Cukierski Yichuan Tang David Thaler Dong-Hyun Lee Yingbo Zhou 0002 Chetan Ramaiah Fangxiang Feng Ruifan Li Xiaojie Wang 0006 Dimitris Athanasakis John Shawe-Taylor Maxim Milakov John Park Radu Tudor Ionescu Marius Popescu Cristian Grozea James Bergstra Jingjing Xie Lukasz Romaszko Bing Xu Chuang Zhang Yoshua Bengio Challenges in representation learning: A report on three machine learning contests. 59-63 2015 64 Neural Networks https://doi.org/10.1016/j.neunet.2014.09.005 https://www.wikidata.org/entity/Q39051375 db/journals/nn/nn64.html#GoodfellowECCMH15

Grégoire Mesnil Yann N. Dauphin Kaisheng Yao Yoshua Bengio Li Deng 0001 Dilek Hakkani-Tür Xiaodong He 0001 Larry P. Heck Gökhan Tür Dong Yu 0001 Geoffrey Zweig Using Recurrent Neural Networks for Slot Filling in Spoken Language Understanding. 530-539 2015 23 IEEE ACM Trans. Audio Speech Lang. Process. 3 https://doi.org/10.1109/TASLP.2014.2383614 https://www.wikidata.org/entity/Q56532780 db/journals/taslp/taslp23.html#MesnilDYBDHHHTY15

Kyunghyun Cho Aaron C. Courville Yoshua Bengio Describing Multimedia Content Using Attention-Based Encoder-Decoder Networks. 1875-1886 2015 17 IEEE Trans. Multim. 11 https://doi.org/10.1109/TMM.2015.2477044 https://www.wikidata.org/entity/Q57257953 db/journals/tmm/tmm17.html#ChoCB15

Sébastien Jean KyungHyun Cho Roland Memisevic Yoshua Bengio On Using Very Large Target Vocabulary for Neural Machine Translation. 1-10 2015 ACL (1) https://doi.org/10.3115/v1/p15-1001 https://aclanthology.org/P15-1001/ conf/acl/2015-1 db/conf/acl/acl2015-1.html#JeanCMB15 Yoshua Bengio IAPR keynote lecture IV: Deep learning. xx 2015 ACPR https://doi.org/10.1109/ACPR.2015.7486451 conf/acpr/2015 db/conf/acpr/acpr2015.html#Bengio15 Alessandro Sordoni Yoshua Bengio Hossein Vahabi Christina Lioma Jakob Grue Simonsen Jian-Yun Nie A Hierarchical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion. 553-562 2015 CIKM https://doi.org/10.1145/2806416.2806493 https://www.wikidata.org/entity/Q61612243 conf/cikm/2015 db/conf/cikm/cikm2015.html#SordoniBVLSN15 Stephan Gouws Yoshua Bengio Greg Corrado BilBOWA: Fast Bilingual Distributed Representations without Word Alignments. 748-756 2015 ICML http://proceedings.mlr.press/v37/gouws15.html conf/icml/2015 db/conf/icml/icml2015.html#GouwsBC15 Kelvin Xu Jimmy Ba Ryan Kiros Kyunghyun Cho Aaron C. Courville Ruslan Salakhutdinov Richard S. Zemel Yoshua Bengio Show, Attend and Tell: Neural Image Caption Generation with Visual Attention. 2048-2057 2015 ICML http://proceedings.mlr.press/v37/xuc15.html conf/icml/2015 db/conf/icml/icml2015.html#XuBKCCSZB15 Junyoung Chung Çaglar Gülçehre Kyunghyun Cho Yoshua Bengio Gated Feedback Recurrent Neural Networks. 2067-2075 2015 ICML http://proceedings.mlr.press/v37/chung15.html conf/icml/2015 db/conf/icml/icml2015.html#ChungGCB15 Jan Chorowski Dzmitry Bahdanau Dmitriy Serdyuk Kyunghyun Cho Yoshua Bengio Attention-Based Models for Speech Recognition. 577-585 2015 NIPS https://proceedings.neurips.cc/paper/2015/hash/1068c6e4c8051cfd4e9ea8072e3189e2-Abstract.html http://papers.nips.cc/paper/5847-attention-based-models-for-speech-recognition conf/nips/2015 db/conf/nips/nips2015.html#ChorowskiBSCB15 Yann N. Dauphin Harm de Vries Yoshua Bengio Equilibrated adaptive learning rates for non-convex optimization. 1504-1512 2015 NIPS https://proceedings.neurips.cc/paper/2015/hash/430c3626b879b4005d41b8a46172e0c0-Abstract.html http://papers.nips.cc/paper/5870-equilibrated-adaptive-learning-rates-for-non-convex-optimization conf/nips/2015 db/conf/nips/nips2015.html#DauphinVB15 Junyoung Chung Kyle Kastner Laurent Dinh Kratarth Goel Aaron C. Courville Yoshua Bengio A Recurrent Latent Variable Model for Sequential Data. 2980-2988 2015 NIPS https://proceedings.neurips.cc/paper/2015/hash/b618c3210e934362ac261db280128c22-Abstract.html http://papers.nips.cc/paper/5653-a-recurrent-latent-variable-model-for-sequential-data conf/nips/2015 db/conf/nips/nips2015.html#ChungKDGCB15 Matthieu Courbariaux Yoshua Bengio Jean-Pierre David BinaryConnect: Training Deep Neural Networks with binary weights during propagations. 3123-3131 2015 NIPS https://proceedings.neurips.cc/paper/2015/hash/3e15cc11f979ed25912dff5b0669f2cd-Abstract.html http://papers.nips.cc/paper/5647-binaryconnect-training-deep-neural-networks-with-binary-weights-during-propagations conf/nips/2015 db/conf/nips/nips2015.html#CourbariauxBD15 Alexandre de Brébisson Étienne Simon Alex Auvolat Pascal Vincent Yoshua Bengio Artificial Neural Networks Applied to Taxi Destination Prediction. 2015 DC@PKDD/ECML https://ceur-ws.org/Vol-1526/paper21.pdf conf/pkdd/2015dc db/conf/pkdd/dc2015.html#BrebissonSAVB15 Dong-Hyun Lee Saizheng Zhang Asja Fischer Yoshua Bengio Difference Target Propagation. 498-515 2015 ECML/PKDD (1) https://doi.org/10.1007/978-3-319-23528-8_31 conf/pkdd/2015-1 db/conf/pkdd/pkdd2015-1.html#LeeZFB15 Sébastien Jean Orhan Firat Kyunghyun Cho Roland Memisevic Yoshua Bengio Montreal Neural Machine Translation Systems for WMT'15. 134-140 2015 WMT@EMNLP https://doi.org/10.18653/v1/w15-3014 https://aclanthology.org/W15-3014/ conf/wmt/2015 db/conf/wmt/wmt2015.html#JeanFCMB15 Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio Neural Machine Translation by Jointly Learning to Align and Translate. 2015 conf/iclr/2015 ICLR http://arxiv.org/abs/1409.0473 db/conf/iclr/iclr2015.html#BahdanauCB14 Jörg Bornschein Yoshua Bengio Reweighted Wake-Sleep. 2015 conf/iclr/2015 ICLR http://arxiv.org/abs/1406.2751 db/conf/iclr/iclr2015.html#BornscheinB14 Matthieu Courbariaux Yoshua Bengio Jean-Pierre David Low precision arithmetic for deep learning. 2015 conf/iclr/2015w ICLR (Workshop) http://arxiv.org/abs/1412.7024 db/conf/iclr/iclr2015w.html#CourbariauxBD14 Laurent Dinh David Krueger 0001 Yoshua Bengio NICE: Non-linear Independent Components Estimation. 2015 conf/iclr/2015w ICLR (Workshop) http://arxiv.org/abs/1410.8516 db/conf/iclr/iclr2015w.html#DinhKB14 Felix Hill Kyunghyun Cho Sébastien Jean Coline Devin Yoshua Bengio Embedding Word Similarity with Neural Machine Translation. 2015 conf/iclr/2015w ICLR (Workshop) http://arxiv.org/abs/1412.6448 db/conf/iclr/iclr2015w.html#HillCJDB14a Dong-Hyun Lee Saizheng Zhang Antoine Biard Yoshua Bengio Target Propagation. 2015 conf/iclr/2015w ICLR (Workshop) http://arxiv.org/abs/1412.7525 db/conf/iclr/iclr2015w.html#LeeZBB14 Grégoire Mesnil Tomás Mikolov Marc'Aurelio Ranzato Yoshua Bengio Ensemble of Generative and Discriminative Techniques for Sentiment Analysis of Movie Reviews. 2015 conf/iclr/2015w ICLR (Workshop) http://arxiv.org/abs/1412.5335 db/conf/iclr/iclr2015w.html#MesnilMRB14 Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang Carlo Gatta Yoshua Bengio FitNets: Hints for Thin Deep Nets. 2015 conf/iclr/2015 ICLR (Poster) http://arxiv.org/abs/1412.6550 db/conf/iclr/iclr2015.html#RomeroBKCGB14 Yoshua Bengio Yann LeCun 3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Conference Track Proceedings 2015 ICLR https://iclr.cc/archive/www/doku.php%3Fid=iclr2015:accepted-main.html db/conf/iclr/iclr2015.html Yoshua Bengio Yann LeCun 3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Workshop Track Proceedings 2015 ICLR (Workshop) https://iclr.cc/archive/www/doku.php%3Fid=iclr2015:accepted-main.html db/conf/iclr/iclr2015w.html

Junyoung Chung Çaglar Gülçehre KyungHyun Cho Yoshua Bengio Gated Feedback Recurrent Neural Networks. 2015 abs/1502.02367 CoRR http://arxiv.org/abs/1502.02367 db/journals/corr/corr1502.html#ChungGCB15

Kelvin Xu Jimmy Ba Ryan Kiros Kyunghyun Cho Aaron C. Courville Ruslan Salakhutdinov Richard S. Zemel Yoshua Bengio Show, Attend and Tell: Neural Image Caption Generation with Visual Attention. 2015 abs/1502.03044 CoRR http://arxiv.org/abs/1502.03044 db/journals/corr/corr1502.html#XuBKCCSZB15

Yoshua Bengio Dong-Hyun Lee Jörg Bornschein Zhouhan Lin Towards Biologically Plausible Deep Learning. 2015 abs/1502.04156 CoRR http://arxiv.org/abs/1502.04156 db/journals/corr/corr1502.html#BengioLBL15

Yann N. Dauphin Harm de Vries Junyoung Chung Yoshua Bengio RMSProp and equilibrated adaptive learning rates for non-convex optimization. 2015 abs/1502.04390 CoRR http://arxiv.org/abs/1502.04390 db/journals/corr/corr1502.html#DauphinVCB15

Samira Ebrahimi Kahou Xavier Bouthillier Pascal Lamblin Çaglar Gülçehre Vincent Michalski Kishore Reddy Konda Sébastien Jean Pierre Froumenty Yann N. Dauphin Nicolas Boulanger-Lewandowski Raul Chandias Ferrari Mehdi Mirza David Warde-Farley Aaron C. Courville Pascal Vincent Roland Memisevic Christopher J. Pal Yoshua Bengio EmoNets: Multimodal deep learning approaches for emotion recognition in video. 2015 abs/1503.01800 CoRR http://arxiv.org/abs/1503.01800 db/journals/corr/corr1503.html#KahouBLGMKJFDBF15

Çaglar Gülçehre Orhan Firat Kelvin Xu Kyunghyun Cho Loïc Barrault Huei-Chi Lin Fethi Bougares Holger Schwenk Yoshua Bengio On Using Monolingual Corpora in Neural Machine Translation. 2015 abs/1503.03535 CoRR http://arxiv.org/abs/1503.03535 db/journals/corr/corr1503.html#GulcehreFXCBLBS15

Guillaume Alain Yoshua Bengio Li Yao Jason Yosinski Eric Thibodeau-Laufer Saizheng Zhang Pascal Vincent GSNs : Generative Stochastic Networks. 2015 abs/1503.05571 CoRR http://arxiv.org/abs/1503.05571 db/journals/corr/corr1503.html#AlainBYYTZV15

Felix Hill Kyunghyun Cho Anna Korhonen Yoshua Bengio Learning to Understand Phrases by Embedding the Dictionary. 2015 abs/1504.00548 CoRR http://arxiv.org/abs/1504.00548 db/journals/corr/corr1504.html#HillCKB15

Francesco Visin Kyle Kastner Kyunghyun Cho Matteo Matteucci Aaron C. Courville Yoshua Bengio ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks. 2015 abs/1505.00393 CoRR http://arxiv.org/abs/1505.00393 db/journals/corr/corr1505.html#VisinKCMCB15

Mohammad Havaei Axel Davy David Warde-Farley Antoine Biard Aaron C. Courville Yoshua Bengio Chris Pal Pierre-Marc Jodoin Hugo Larochelle Brain Tumor Segmentation with Deep Neural Networks. 2015 abs/1505.03540 CoRR http://arxiv.org/abs/1505.03540 db/journals/corr/corr1505.html#HavaeiDWBCBPJL15

Bart van Merriënboer Dzmitry Bahdanau Vincent Dumoulin Dmitriy Serdyuk David Warde-Farley Jan Chorowski Yoshua Bengio Blocks and Fuel: Frameworks for deep learning. 2015 abs/1506.00619 CoRR http://arxiv.org/abs/1506.00619 db/journals/corr/corr1506.html#MerrienboerBDSW15

Junyoung Chung Kyle Kastner Laurent Dinh Kratarth Goel Aaron C. Courville Yoshua Bengio A Recurrent Latent Variable Model for Sequential Data. 2015 abs/1506.02216 CoRR http://arxiv.org/abs/1506.02216 db/journals/corr/corr1506.html#ChungKDGCB15

Jörg Bornschein Samira Shabanian Asja Fischer Yoshua Bengio Training opposing directed models using geometric mean matching. 2015 abs/1506.03877 CoRR http://arxiv.org/abs/1506.03877 db/journals/corr/corr1506.html#BornscheinSFB15

Jan Chorowski Dzmitry Bahdanau Dmitriy Serdyuk KyungHyun Cho Yoshua Bengio Attention-Based Models for Speech Recognition. 2015 abs/1506.07503 CoRR http://arxiv.org/abs/1506.07503 db/journals/corr/corr1506.html#ChorowskiBSCB15

KyungHyun Cho Aaron C. Courville Yoshua Bengio Describing Multimedia Content using Attention-based Encoder-Decoder Networks. 2015 abs/1507.01053 CoRR http://arxiv.org/abs/1507.01053 db/journals/corr/corr1507.html#ChoCB15

Alessandro Sordoni Yoshua Bengio Hossein Vahabi Christina Lioma Jakob Grue Simonsen Jian-Yun Nie A Hierarchical Recurrent Encoder-Decoder For Generative Context-Aware Query Suggestion. 2015 abs/1507.02221 CoRR http://arxiv.org/abs/1507.02221 db/journals/corr/corr1507.html#SordoniBVLSN15

Iulian Vlad Serban Alessandro Sordoni Yoshua Bengio Aaron C. Courville Joelle Pineau Hierarchical Neural Network Generative Models for Movie Dialogues. 2015 abs/1507.04808 CoRR http://arxiv.org/abs/1507.04808 db/journals/corr/corr1507.html#SerbanSBCP15

Alexandre de Brébisson Étienne Simon Alex Auvolat Pascal Vincent Yoshua Bengio Artificial Neural Networks Applied to Taxi Destination Prediction. 2015 abs/1508.00021 CoRR http://arxiv.org/abs/1508.00021 db/journals/corr/corr1508.html#BrebissonSAVB15

Dzmitry Bahdanau Jan Chorowski Dmitriy Serdyuk Philemon Brakel Yoshua Bengio End-to-End Attention-based Large Vocabulary Speech Recognition. 2015 abs/1508.04395 CoRR http://arxiv.org/abs/1508.04395 db/journals/corr/corr1508.html#BahdanauCSBB15

Yoshua Bengio Thomas Mesnard Asja Fischer Saizheng Zhang Yuhai Wu An objective function for STDP. 2015 abs/1509.05936 CoRR http://arxiv.org/abs/1509.05936 db/journals/corr/corr1509.html#BengioMFZW15

César Laurent Gabriel Pereyra Philemon Brakel Ying Zhang 0033 Yoshua Bengio Batch Normalized Recurrent Neural Networks. 2015 abs/1510.01378 CoRR http://arxiv.org/abs/1510.01378 db/journals/corr/corr1510.html#LaurentPBZB15

Yoshua Bengio Early Inference in Energy-Based Models Approximates Back-Propagation. 2015 abs/1510.02777 CoRR http://arxiv.org/abs/1510.02777 db/journals/corr/corr1510.html#Bengio15

Matthieu Courbariaux Yoshua Bengio Jean-Pierre David BinaryConnect: Training Deep Neural Networks with binary weights during propagations. 2015 abs/1511.00363 CoRR http://arxiv.org/abs/1511.00363 db/journals/corr/corr1511.html#CourbariauxBD15

Li Yao Nicolas Ballas KyungHyun Cho John R. Smith Yoshua Bengio Trainable performance upper bounds for image and video captioning. 2015 abs/1511.04590 CoRR http://arxiv.org/abs/1511.04590 db/journals/corr/corr1511.html#YaoBCSB15

Daniel Jiwoong Im Sungjin Ahn Roland Memisevic Yoshua Bengio Denoising Criterion for Variational Auto-Encoding Framework. 2015 abs/1511.06406 CoRR http://arxiv.org/abs/1511.06406 db/journals/corr/corr1511.html#ImAMB15

Mohammad Pezeshki Linxi Fan Philemon Brakel Aaron C. Courville Yoshua Bengio Deconstructing the Ladder Network Architecture. 2015 abs/1511.06430 CoRR http://arxiv.org/abs/1511.06430 db/journals/corr/corr1511.html#PezeshkiFBCB15

Dzmitry Bahdanau Dmitriy Serdyuk Philemon Brakel Nan Rosemary Ke Jan Chorowski Aaron C. Courville Yoshua Bengio Task Loss Estimation for Sequence Prediction. 2015 abs/1511.06456 CoRR http://arxiv.org/abs/1511.06456 db/journals/corr/corr1511.html#BahdanauSBKCCB15

Martín Arjovsky Amar Shah 0001 Yoshua Bengio Unitary Evolution Recurrent Neural Networks. 2015 abs/1511.06464 CoRR http://arxiv.org/abs/1511.06464 db/journals/corr/corr1511.html#ArjovskySB15

Guillaume Alain Alex Lamb Chinnadhurai Sankar Aaron C. Courville Yoshua Bengio Variance Reduction in SGD by Distributed Importance Sampling. 2015 abs/1511.06481 CoRR http://arxiv.org/abs/1511.06481 db/journals/corr/corr1511.html#AlainLSCB15

Francesco Visin Kyle Kastner Aaron C. Courville Yoshua Bengio Matteo Matteucci KyungHyun Cho ReSeg: A Recurrent Neural Network for Object Segmentation. 2015 abs/1511.07053 CoRR http://arxiv.org/abs/1511.07053 db/journals/corr/corr1511.html#VisinKCBMC15

François Rivest John Kalaska Yoshua Bengio Conditioning and time representation in long short-term memory networks. 23-48 2014 108 Biol. Cybern. 1 https://doi.org/10.1007/s00422-013-0575-1 https://www.wikidata.org/entity/Q44931711 db/journals/bc/bc108.html#RivestKB14

Guillaume Alain Yoshua Bengio What regularized auto-encoders learn from the data-generating distribution. 3563-3593 2014 15 J. Mach. Learn. Res. 1 https://dl.acm.org/doi/10.5555/2627435.2750359 db/journals/jmlr/jmlr15.html#AlainB14

Antoine Bordes Xavier Glorot Jason Weston Yoshua Bengio A semantic matching energy function for learning with multi-relational data - Application to word-sense disambiguation. 233-259 2014 94 Mach. Learn. 2 https://doi.org/10.1007/s10994-013-5363-6 https://www.wikidata.org/entity/Q51938182 db/journals/ml/ml94.html#BordesGWB14

Grégoire Mesnil Antoine Bordes Jason Weston Gal Chechik Yoshua Bengio Learning semantic representations of objects and their parts. 281-301 2014 94 Mach. Learn. 2 https://doi.org/10.1007/s10994-013-5336-9 db/journals/ml/ml94.html#MesnilBWCB14

Aaron C. Courville Guillaume Desjardins James Bergstra Yoshua Bengio The Spike-and-Slab RBM and Extensions to Discrete and Sparse Data Distributions. 1874-1887 2014 36 IEEE Trans. Pattern Anal. Mach. Intell. 9 https://doi.org/10.1109/TPAMI.2013.238 http://doi.ieeecomputersociety.org/10.1109/TPAMI.2013.238 https://www.wikidata.org/entity/Q30992323 db/journals/pami/pami36.html#CourvilleDBB14

Vincent Dumoulin Ian J. Goodfellow Aaron C. Courville Yoshua Bengio On the Challenges of Physical Implementations of RBMs. 1199-1205 2014 AAAI https://doi.org/10.1609/aaai.v28i1.8924 conf/aaai/2014 db/conf/aaai/aaai2014.html#DumoulinGCB14 Alessandro Sordoni Yoshua Bengio Jian-Yun Nie Learning Concept Embeddings for Query Expansion by Quantum Entropy Minimization. 1586-1592 2014 AAAI https://doi.org/10.1609/aaai.v28i1.8933 conf/aaai/2014 db/conf/aaai/aaai2014.html#SordoniBN14 Kyunghyun Cho Bart van Merrienboer Çaglar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation. 1724-1734 2014 EMNLP https://doi.org/10.3115/v1/d14-1179 https://aclanthology.org/D14-1179/ conf/emnlp/2014 db/conf/emnlp/emnlp2014.html#ChoMGBBSB14 Yoshua Bengio Deep learning and cultural evolution. 1-2 2014 GECCO (Companion) https://doi.org/10.1145/2598394.2598395 conf/gecco/2014c db/conf/gecco/gecco2014c.html#Bengio14 Yoshua Bengio Eric Laufer Guillaume Alain Jason Yosinski Deep Generative Stochastic Networks Trainable by Backprop. 226-234 2014 ICML http://proceedings.mlr.press/v32/bengio14.html conf/icml/2014 db/conf/icml/icml2014.html#BengioLAY14 Minmin Chen Kilian Q. Weinberger Fei Sha Yoshua Bengio Marginalized Denoising Auto-encoders for Nonlinear Representations. 1476-1484 2014 ICML http://proceedings.mlr.press/v32/cheng14.html conf/icml/2014 db/conf/icml/icml2014.html#ChenWSB14 Yoshua Bengio Scaling up deep learning. 1966 2014 KDD https://doi.org/10.1145/2623330.2630802 conf/kdd/2014 db/conf/kdd/kdd2014.html#Bengio14 Tapani Raiko Li Yao KyungHyun Cho Yoshua Bengio Iterative Neural Autoregressive Distribution Estimator NADE-k. 325-333 2014 NIPS https://proceedings.neurips.cc/paper/2014/hash/555d6702c950ecb729a966504af0a635-Abstract.html http://papers.nips.cc/paper/5277-iterative-neural-autoregressive-distribution-estimator-nade-k conf/nips/2014 db/conf/nips/nips2014.html#RaikoLCB14 Ian J. Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron C. Courville Yoshua Bengio Generative Adversarial Nets. 2672-2680 2014 NIPS https://proceedings.neurips.cc/paper/2014/hash/5ca3e9b122f61f8f06494c97b1afccf3-Abstract.html http://papers.nips.cc/paper/5423-generative-adversarial-nets conf/nips/2014 db/conf/nips/nips2014.html#GoodfellowPMXWOCB14 Guido Montúfar Razvan Pascanu KyungHyun Cho Yoshua Bengio On the Number of Linear Regions of Deep Neural Networks. 2924-2932 2014 NIPS https://proceedings.neurips.cc/paper/2014/hash/109d2dd3608f669ca17920c511c2a41e-Abstract.html http://papers.nips.cc/paper/5422-on-the-number-of-linear-regions-of-deep-neural-networks conf/nips/2014 db/conf/nips/nips2014.html#MontufarPCB14 Yann N. Dauphin Razvan Pascanu Çaglar Gülçehre KyungHyun Cho Surya Ganguli Yoshua Bengio Identifying and attacking the saddle point problem in high-dimensional non-convex optimization. 2933-2941 2014 NIPS https://proceedings.neurips.cc/paper/2014/hash/17e23e50bedc63b4095e3d8204ce063b-Abstract.html http://papers.nips.cc/paper/5486-identifying-and-attacking-the-saddle-point-problem-in-high-dimensional-non-convex-optimization conf/nips/2014 db/conf/nips/nips2014.html#DauphinPGCGB14 Jason Yosinski Jeff Clune Yoshua Bengio Hod Lipson How transferable are features in deep neural networks? 3320-3328 2014 NIPS https://proceedings.neurips.cc/paper/2014/hash/375c71349b295fbe2dcdca9206f20a06-Abstract.html http://papers.nips.cc/paper/5347-how-transferable-are-features-in-deep-neural-networks conf/nips/2014 db/conf/nips/nips2014.html#YosinskiCBL14 Li Yao Sherjil Ozair KyungHyun Cho Yoshua Bengio On the Equivalence between Deep NADE and Generative Stochastic Networks. 322-336 2014 ECML/PKDD (3) https://doi.org/10.1007/978-3-662-44845-8_21 conf/pkdd/2014-3 db/conf/pkdd/pkdd2014-3.html#YaoOCB14 Çaglar Gülçehre KyungHyun Cho Razvan Pascanu Yoshua Bengio Learned-Norm Pooling for Deep Feedforward and Recurrent Neural Networks. 530-546 2014 ECML/PKDD (1) https://doi.org/10.1007/978-3-662-44848-9_34 conf/pkdd/2014-1 db/conf/pkdd/pkdd2014-1.html#GulcehreCPB14 Jean Pouget-Abadie Dzmitry Bahdanau Bart van Merrienboer Kyunghyun Cho Yoshua Bengio Overcoming the Curse of Sentence Length for Neural Machine Translation using Automatic Segmentation. 78-85 2014 SSST@EMNLP https://aclanthology.org/W14-4009/ https://doi.org/10.3115/v1/W14-4009 conf/ssst/2014 db/conf/ssst/ssst2014.html#Pouget-AbadieBM14 Kyunghyun Cho Bart van Merrienboer Dzmitry Bahdanau Yoshua Bengio On the Properties of Neural Machine Translation: Encoder-Decoder Approaches. 103-111 2014 SSST@EMNLP https://aclanthology.org/W14-4012/ https://doi.org/10.3115/v1/W14-4012 conf/ssst/2014 db/conf/ssst/ssst2014.html#ChoMBB14 Yoshua Bengio Li Yao Bounding the Test Log-Likelihood of Generative Models. 2014 conf/iclr/2014 ICLR (Poster) http://arxiv.org/abs/1311.6184 db/conf/iclr/iclr2014.html#BengioY13 Ian J. Goodfellow Mehdi Mirza Xia Da Aaron C. Courville Yoshua Bengio An Empirical Investigation of Catastrophic Forgeting in Gradient-Based Neural Networks. 2014 conf/iclr/2014 ICLR (Poster) http://arxiv.org/abs/1312.6211 db/conf/iclr/iclr2014.html#GoodfellowMDCB13 Sherjil Ozair Li Yao Yoshua Bengio Multimodal Transitions for Generative Stochastic Networks. 2014 conf/iclr/2014w ICLR (Workshop Poster) http://arxiv.org/abs/1312.5578 db/conf/iclr/iclr2014w.html#OzairYB13 Razvan Pascanu Çaglar Gülçehre Kyunghyun Cho Yoshua Bengio How to Construct Deep Recurrent Neural Networks. 2014 conf/iclr/2014 ICLR (Poster) http://arxiv.org/abs/1312.6026 db/conf/iclr/iclr2014.html#PascanuGCB13 Razvan Pascanu Guido Montúfar Yoshua Bengio On the number of inference regions of deep feed forward networks with piece-wise linear activations. 2014 conf/iclr/2014 ICLR (Poster) http://arxiv.org/abs/1312.6098 db/conf/iclr/iclr2014.html#PascanuMB13 David Warde-Farley Ian J. Goodfellow Aaron C. Courville Yoshua Bengio An empirical analysis of dropout in piecewise linear networks. 2014 conf/iclr/2014 ICLR (Poster) http://arxiv.org/abs/1312.6197 db/conf/iclr/iclr2014.html#Warde-FarleyGCB13 Razvan Pascanu Yoshua Bengio Revisiting Natural Gradient for Deep Networks http://arxiv.org/abs/1301.3584 2014 conf/iclr/2014 ICLR db/conf/iclr/iclr2014.html#abs-1301-3584 Yoshua Bengio Evolving Culture Versus Local Minima. 109-138 2014 Growing Adaptive Machines https://doi.org/10.1007/978-3-642-55337-0_3 series/sci/2014-557 db/series/sci/sci557.html#Bengio14 Yoshua Bengio Yann LeCun 2nd International Conference on Learning Representations, ICLR 2014, Banff, AB, Canada, April 14-16, 2014, Conference Track Proceedings 2014 ICLR https://openreview.net/group?id=ICLR.cc/2014 db/conf/iclr/iclr2014.html Yoshua Bengio Yann LeCun 2nd International Conference on Learning Representations, ICLR 2014, Banff, AB, Canada, April 14-16, 2014, Workshop Track Proceedings 2014 ICLR https://openreview.net/group?id=ICLR.cc/2014 db/conf/iclr/iclr2014w.html

Guido Montúfar Razvan Pascanu Kyunghyun Cho Yoshua Bengio On the Number of Linear Regions of Deep Neural Networks. 2014 abs/1402.1869 CoRR http://arxiv.org/abs/1402.1869 db/journals/corr/corr1402.html#MontufarPCB14

Razvan Pascanu Yann N. Dauphin Surya Ganguli Yoshua Bengio On the saddle point problem for non-convex optimization. 2014 abs/1405.4604 CoRR http://arxiv.org/abs/1405.4604 db/journals/corr/corr1405.html#PascanuDGB14

Kyunghyun Cho Bart van Merrienboer Çaglar Gülçehre Fethi Bougares Holger Schwenk Yoshua Bengio Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation. 2014 abs/1406.1078 CoRR http://arxiv.org/abs/1406.1078 db/journals/corr/corr1406.html#ChoMGBSB14

Tapani Raiko Li Yao Kyunghyun Cho Yoshua Bengio Iterative Neural Autoregressive Distribution Estimator (NADE-k). 2014 abs/1406.1485 CoRR http://arxiv.org/abs/1406.1485 db/journals/corr/corr1406.html#RaikoYCB14

Yann N. Dauphin Razvan Pascanu Çaglar Gülçehre Kyunghyun Cho Surya Ganguli Yoshua Bengio Identifying and attacking the saddle point problem in high-dimensional non-convex optimization. 2014 abs/1406.2572 CoRR http://arxiv.org/abs/1406.2572 db/journals/corr/corr1406.html#DauphinPGCGB14

Ian J. Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron C. Courville Yoshua Bengio Generative Adversarial Networks. 2014 abs/1406.2661 CoRR http://arxiv.org/abs/1406.2661 db/journals/corr/corr1406.html#GoodfellowPMXWOCB14

Kyunghyun Cho Yoshua Bengio Exponentially Increasing the Capacity-to-Computation Ratio for Conditional Computation in Deep Learning. 2014 abs/1406.7362 CoRR http://arxiv.org/abs/1406.7362 db/journals/corr/corr1406.html#ChoB14

Yoshua Bengio How Auto-Encoders Could Provide Credit Assignment in Deep Networks via Target Propagation. 2014 abs/1407.7906 CoRR http://arxiv.org/abs/1407.7906 db/journals/corr/corr1407.html#Bengio14

Li Yao Sherjil Ozair Kyunghyun Cho Yoshua Bengio On the Equivalence Between Deep NADE and Generative Stochastic Networks. 2014 abs/1409.0585 CoRR http://arxiv.org/abs/1409.0585 db/journals/corr/corr1409.html#YaoOCB14

Jean Pouget-Abadie Dzmitry Bahdanau Bart van Merrienboer KyungHyun Cho Yoshua Bengio Overcoming the Curse of Sentence Length for Neural Machine Translation using Automatic Segmentation. 2014 abs/1409.1257 CoRR http://arxiv.org/abs/1409.1257 db/journals/corr/corr1409.html#Pouget-AbadieBMCB14

KyungHyun Cho Bart van Merrienboer Dzmitry Bahdanau Yoshua Bengio On the Properties of Neural Machine Translation: Encoder-Decoder Approaches. 2014 abs/1409.1259 CoRR http://arxiv.org/abs/1409.1259 db/journals/corr/corr1409.html#ChoMBB14

Guillaume Desjardins Heng Luo Aaron C. Courville Yoshua Bengio Deep Tempering. 2014 abs/1410.0123 CoRR http://arxiv.org/abs/1410.0123 db/journals/corr/corr1410.html#DesjardinsLCB14

Sherjil Ozair Yoshua Bengio Deep Directed Generative Autoencoders. 2014 abs/1410.0630 CoRR http://arxiv.org/abs/1410.0630 db/journals/corr/corr1410.html#OzairB14

Felix Hill KyungHyun Cho Sébastien Jean Coline Devin Yoshua Bengio Not All Neural Embeddings are Born Equal. 2014 abs/1410.0718 CoRR http://arxiv.org/abs/1410.0718 db/journals/corr/corr1410.html#HillCJDB14

Stephan Gouws Yoshua Bengio Greg Corrado BilBOWA: Fast Bilingual Distributed Representations without Word Alignments. 2014 abs/1410.2455 CoRR http://arxiv.org/abs/1410.2455 db/journals/corr/corr1410.html#GouwsBC14

Jason Yosinski Jeff Clune Yoshua Bengio Hod Lipson How transferable are features in deep neural networks? 2014 abs/1411.1792 CoRR http://arxiv.org/abs/1411.1792 db/journals/corr/corr1411.html#YosinskiCBL14

Jan Chorowski Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio End-to-end Continuous Speech Recognition using Attention-based Recurrent NN: First Results. 2014 abs/1412.1602 CoRR http://arxiv.org/abs/1412.1602 db/journals/corr/corr1412.html#ChorowskiBCB14

Sébastien Jean Kyunghyun Cho Roland Memisevic Yoshua Bengio On Using Very Large Target Vocabulary for Neural Machine Translation. 2014 abs/1412.2007 CoRR http://arxiv.org/abs/1412.2007 db/journals/corr/corr1412.html#JeanCMB14

Junyoung Chung Çaglar Gülçehre KyungHyun Cho Yoshua Bengio Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling. 2014 abs/1412.3555 CoRR http://arxiv.org/abs/1412.3555 db/journals/corr/corr1412.html#ChungGCB14

Çaglar Gülçehre Yoshua Bengio ADASECANT: Robust Adaptive Secant Method for Stochastic Gradient. 2014 abs/1412.7419 CoRR http://arxiv.org/abs/1412.7419 db/journals/corr/corr1412.html#GulcehreB14

Héctor Pérez Martínez Yoshua Bengio Georgios N. Yannakakis Learning Deep Physiological Models of Affect. 20-33 2013 8 IEEE Comput. Intell. Mag. 2 https://doi.org/10.1109/MCI.2013.2247823 https://www.wikidata.org/entity/Q56058024 db/journals/cim/cim8.html#MartinezBY13

Yoshua Bengio Aaron C. Courville Pascal Vincent Representation Learning: A Review and New Perspectives. 1798-1828 2013 35 IEEE Trans. Pattern Anal. Mach. Intell. 8 https://doi.org/10.1109/TPAMI.2013.50 http://doi.ieeecomputersociety.org/10.1109/TPAMI.2013.50 https://www.wikidata.org/entity/Q38115908 db/journals/pami/pami35.html#BengioCV13

Ian J. Goodfellow Aaron C. Courville Yoshua Bengio Scaling Up Spike-and-Slab Models for Unsupervised Feature Learning. 1902-1914 2013 35 IEEE Trans. Pattern Anal. Mach. Intell. 8 https://doi.org/10.1109/TPAMI.2012.273 http://doi.ieeecomputersociety.org/10.1109/TPAMI.2012.273 https://www.wikidata.org/entity/Q50737957 db/journals/pami/pami35.html#GoodfellowCB13

Heng Luo Pierre Luc Carrier Aaron C. Courville Yoshua Bengio Texture Modeling with Convolutional Spike-and-Slab RBMs and Deep Extensions. 415-423 2013 AISTATS http://proceedings.mlr.press/v31/luo13a.html conf/aistats/2013 db/conf/aistats/aistats2013.html#LuoCCB13 Eric Thibodeau-Laufer Raul Chandias Ferrari Li Yao Olivier Delalleau Yoshua Bengio Stacked calibration of off-policy policy evaluation for video game matchmaking. 1-8 2013 CIG https://doi.org/10.1109/CIG.2013.6633642 conf/cig/2013 db/conf/cig/cig2013.html#Thibodeau-LauferFYDB13 Nicolas Boulanger-Lewandowski Yoshua Bengio Pascal Vincent High-dimensional sequence transduction. 3178-3182 2013 ICASSP https://doi.org/10.1109/ICASSP.2013.6638244 conf/icassp/2013 db/conf/icassp/icassp2013.html#Boulanger-LewandowskiBV13 Yoshua Bengio Nicolas Boulanger-Lewandowski Razvan Pascanu Advances in optimizing recurrent networks. 8624-8628 2013 ICASSP https://doi.org/10.1109/ICASSP.2013.6639349 https://www.wikidata.org/entity/Q56532769 conf/icassp/2013 db/conf/icassp/icassp2013.html#BengioBP13 Samira Ebrahimi Kahou Christopher J. Pal Xavier Bouthillier Pierre Froumenty Çaglar Gülçehre Roland Memisevic Pascal Vincent Aaron C. Courville Yoshua Bengio Raul Chandias Ferrari Mehdi Mirza Sébastien Jean Pierre Luc Carrier Yann N. Dauphin Nicolas Boulanger-Lewandowski Abhishek Aggarwal Jeremie Zumer Pascal Lamblin Jean-Philippe Raymond Guillaume Desjardins Razvan Pascanu David Warde-Farley Atousa Torabi Arjun Sharma Emmanuel Bengio Kishore Reddy Konda Zhenzhou Wu Combining modality specific deep neural networks for emotion recognition in video. 543-550 2013 ICMI https://doi.org/10.1145/2522848.2531745 conf/icmi/2013 db/conf/icmi/icmi2013.html#KanouPBFGMVCBFMJCDBAZLRDPWTSBKW13 Yoshua Bengio Grégoire Mesnil Yann N. Dauphin Salah Rifai Better Mixing via Deep Representations. 552-560 2013 ICML (1) http://proceedings.mlr.press/v28/bengio13.html conf/icml/2013 db/conf/icml/icml2013.html#BengioMDR13 Razvan Pascanu Tomás Mikolov Yoshua Bengio On the difficulty of training recurrent neural networks. 1310-1318 2013 ICML (3) http://proceedings.mlr.press/v28/pascanu13.html conf/icml/2013 db/conf/icml/icml2013.html#PascanuMB13 Ian J. Goodfellow David Warde-Farley Mehdi Mirza Aaron C. Courville Yoshua Bengio Maxout Networks. 1319-1327 2013 ICML (3) http://proceedings.mlr.press/v28/goodfellow13.html conf/icml/2013 db/conf/icml/icml2013.html#GoodfellowWMCB13 Ian J. Goodfellow Dumitru Erhan Pierre Luc Carrier Aaron C. Courville Mehdi Mirza Benjamin Hamner William Cukierski Yichuan Tang David Thaler Dong-Hyun Lee Yingbo Zhou 0002 Chetan Ramaiah Fangxiang Feng Ruifan Li Xiaojie Wang 0006 Dimitris Athanasakis John Shawe-Taylor Maxim Milakov John Park Radu Tudor Ionescu Marius Popescu Cristian Grozea James Bergstra Jingjing Xie Lukasz Romaszko Bing Xu Chuang Zhang Yoshua Bengio Challenges in Representation Learning: A Report on Three Machine Learning Contests. 117-124 2013 ICONIP (3) https://doi.org/10.1007/978-3-642-42051-1_16 https://www.wikidata.org/entity/Q56996814 conf/iconip/2013-3 db/conf/iconip/iconip2013-3.html#GoodfellowECCMHCTTLZRFLWASMPIPGBXRXZB13 Grégoire Mesnil Salah Rifai Antoine Bordes Xavier Glorot Yoshua Bengio Pascal Vincent Unsupervised Learning of Semantics of Object Detections for Scene Categorization. 209-224 2013 ICPRAM (Selected Papers) https://doi.org/10.1007/978-3-319-12610-4_13 conf/icpram/2013s db/conf/icpram/icpram2013s.html#MesnilRBGBV13a Grégoire Mesnil Salah Rifai Antoine Bordes Xavier Glorot Yoshua Bengio Pascal Vincent Unsupervised and Transfer Learning under Uncertainty - From Object Detections to Scene Categorization. 345-354 2013 ICPRAM conf/icpram/2013 db/conf/icpram/icpram2013.html#MesnilRBGBV13 Grégoire Mesnil Xiaodong He 0001 Li Deng 0001 Yoshua Bengio Investigation of recurrent-neural-network architectures and learning methods for spoken language understanding. 3771-3775 2013 INTERSPEECH https://doi.org/10.21437/Interspeech.2013-596 conf/interspeech/2013 db/conf/interspeech/interspeech2013.html#MesnilHDB13 Nicolas Boulanger-Lewandowski Yoshua Bengio Pascal Vincent Audio Chord Recognition with Recurrent Neural Networks. 335-340 2013 ISMIR http://www.ppgia.pucpr.br/ismir2013/wp-content/uploads/2013/09/243_Paper.pdf conf/ismir/2013 db/conf/ismir/ismir2013.html#Boulanger-LewandowskiBV13 Ian J. Goodfellow Mehdi Mirza Aaron C. Courville Yoshua Bengio Multi-Prediction Deep Boltzmann Machines. 548-556 2013 NIPS https://proceedings.neurips.cc/paper/2013/hash/0bb4aec1710521c12ee76289d9440817-Abstract.html http://papers.nips.cc/paper/5024-multi-prediction-deep-boltzmann-machines conf/nips/2013 db/conf/nips/nips2013.html#GoodfellowMCB13 Yoshua Bengio Li Yao Guillaume Alain Pascal Vincent Generalized Denoising Auto-Encoders as Generative Models. 899-907 2013 NIPS https://proceedings.neurips.cc/paper/2013/hash/559cb990c9dffd8675f6bc2186971dc2-Abstract.html http://papers.nips.cc/paper/5023-generalized-denoising-auto-encoders-as-generative-models conf/nips/2013 db/conf/nips/nips2013.html#BengioYAV13 Yann N. Dauphin Yoshua Bengio Stochastic Ratio Matching of RBMs for Sparse High-Dimensional Inputs. 1340-1348 2013 NIPS https://proceedings.neurips.cc/paper/2013/hash/7f5d04d189dfb634e6a85bb9d9adf21e-Abstract.html http://papers.nips.cc/paper/5022-stochastic-ratio-matching-of-rbms-for-sparse-high-dimensional-inputs conf/nips/2013 db/conf/nips/nips2013.html#DauphinB13 Alessandro Sordoni Jian-Yun Nie Yoshua Bengio Modeling term dependencies with quantum language models for IR. 653-662 2013 SIGIR https://doi.org/10.1145/2484028.2484098 https://www.wikidata.org/entity/Q130925581 conf/sigir/2013 db/conf/sigir/sigir2013.html#SordoniNB13 Yoshua Bengio Deep Learning of Representations: Looking Forward. 1-37 2013 SLSP https://doi.org/10.1007/978-3-642-39593-2_1 conf/slsp/2013 db/conf/slsp/slsp2013.html#Bengio13 Guillaume Alain Yoshua Bengio Salah Rifai Regularized Auto-Encoders Estimate Local Statistics http://arxiv.org/abs/1211.4246 2013 conf/iclr/2013 ICLR db/conf/iclr/iclr2013.html#abs-1211-4246 Xavier Glorot Antoine Bordes Jason Weston Yoshua Bengio A Semantic Matching Energy Function for Learning with Multi-relational Data http://arxiv.org/abs/1301.3485 2013 conf/iclr/2013w ICLR (Workshop Poster) db/conf/iclr/iclr2013w.html#abs-1301-3485 Guillaume Desjardins Razvan Pascanu Aaron C. Courville Yoshua Bengio Metric-Free Natural Gradient for Joint-Training of Boltzmann Machines http://arxiv.org/abs/1301.3545 2013 conf/iclr/2013 ICLR (Poster) db/conf/iclr/iclr2013.html#abs-1301-3545 Ian J. Goodfellow Aaron C. Courville Yoshua Bengio Joint Training Deep Boltzmann Machines for Classification http://arxiv.org/abs/1301.3568 2013 conf/iclr/2013w ICLR (Workshop) db/conf/iclr/iclr2013w.html#abs-1301-3568 Yann N. Dauphin Yoshua Bengio Big Neural Networks Waste Capacity http://arxiv.org/abs/1301.3583 2013 conf/iclr/2013w ICLR (Workshop) db/conf/iclr/iclr2013w.html#abs-1301-3583 Razvan Pascanu Yoshua Bengio Natural Gradient Revisited http://arxiv.org/abs/1301.3584v4 2013 conf/iclr/2013w ICLR (Workshop Poster) db/conf/iclr/iclr2013w.html#abs-1301-3584v4 Çaglar Gülçehre Yoshua Bengio Knowledge Matters: Importance of Prior Information for Optimization http://arxiv.org/abs/1301.4083 2013 conf/iclr/2013 ICLR db/conf/iclr/iclr2013.html#abs-1301-4083 Yoshua Bengio Aaron C. Courville Deep Learning of Representations. 1-28 2013 Handbook on Neural Information Processing https://doi.org/10.1007/978-3-642-36657-4_1 series/isrl/49 db/series/isrl/isrl49.html#BengioC13 Yoshua Bengio Yann LeCun 1st International Conference on Learning Representations, ICLR 2013, Scottsdale, Arizona, USA, May 2-4, 2013, Conference Track Proceedings 2013 ICLR https://openreview.net/group?id=ICLR.cc/2013 db/conf/iclr/iclr2013.html Yoshua Bengio Yann LeCun 1st International Conference on Learning Representations, ICLR 2013, Scottsdale, Arizona, USA, May 2-4, 2013, Workshop Track Proceedings 2013 ICLR (Workshop) https://openreview.net/group?id=ICLR.cc/2013 db/conf/iclr/iclr2013w.html

Ian J. Goodfellow David Warde-Farley Mehdi Mirza Aaron C. Courville Yoshua Bengio Maxout Networks http://arxiv.org/abs/1302.4389 2013 CoRR abs/1302.4389 db/journals/corr/corr1302.html#abs-1302-4389

Yoshua Bengio Deep Learning of Representations: Looking Forward http://arxiv.org/abs/1305.0445 2013 CoRR abs/1305.0445 db/journals/corr/corr1305.html#abs-1305-0445

Yoshua Bengio Estimating or Propagating Gradients Through Stochastic Neurons http://arxiv.org/abs/1305.2982 2013 CoRR abs/1305.2982 db/journals/corr/corr1305.html#abs-1305-2982

Yoshua Bengio Li Yao Guillaume Alain Pascal Vincent Generalized Denoising Auto-Encoders as Generative Models http://arxiv.org/abs/1305.6663 2013 CoRR abs/1305.6663 db/journals/corr/corr1305.html#abs-1305-6663

Yoshua Bengio Eric Thibodeau-Laufer Jason Yosinski Deep Generative Stochastic Networks Trainable by Backprop. 2013 CoRR http://arxiv.org/abs/1306.1091 abs/1306.1091 db/journals/corr/corr1306.html#BengioT13

Ian J. Goodfellow Dumitru Erhan Pierre Luc Carrier Aaron C. Courville Mehdi Mirza Benjamin Hamner William Cukierski Yichuan Tang David Thaler Dong-Hyun Lee Yingbo Zhou 0002 Chetan Ramaiah Fangxiang Feng Ruifan Li Xiaojie Wang 0006 Dimitris Athanasakis John Shawe-Taylor Maxim Milakov John Park Radu Tudor Ionescu Marius Popescu Cristian Grozea James Bergstra Jingjing Xie Lukasz Romaszko Bing Xu Chuang Zhang Yoshua Bengio Challenges in Representation Learning: A report on three machine learning contests. 2013 CoRR http://arxiv.org/abs/1307.0414 abs/1307.0414 db/journals/corr/corr1307.html#GoodfellowECCMHCTTLZRFLWASMPIPGBXRXZB13

Yoshua Bengio Nicholas Léonard Aaron C. Courville Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation. 2013 CoRR http://arxiv.org/abs/1308.3432 abs/1308.3432 db/journals/corr/corr1308.html#BengioLC13

Ian J. Goodfellow David Warde-Farley Pascal Lamblin Vincent Dumoulin Mehdi Mirza Razvan Pascanu James Bergstra Frédéric Bastien Yoshua Bengio Pylearn2: a machine learning research library. 2013 CoRR http://arxiv.org/abs/1308.4214 abs/1308.4214 db/journals/corr/corr1308.html#GoodfellowWLDMPBBB13

Çaglar Gülçehre Kyunghyun Cho Razvan Pascanu Yoshua Bengio Learned-norm pooling for deep neural networks. 2013 CoRR http://arxiv.org/abs/1311.1780 abs/1311.1780 db/journals/corr/corr1311.html#GulcehreCPB13

Vincent Dumoulin Ian J. Goodfellow Aaron C. Courville Yoshua Bengio On the Challenges of Physical Implementations of RBMs. 2013 abs/1312.5258 CoRR http://arxiv.org/abs/1312.5258 db/journals/corr/corr1312.html#DumoulinGCB13

Yoshua Bengio Nicolas Chapados Olivier Delalleau Hugo Larochelle Xavier Saint-Mleux Christian Hudon Jérôme Louradour Detonation Classification from acoustic Signature with the Restricted Boltzmann Machine. 261-288 2012 28 Comput. Intell. 2 https://doi.org/10.1111/j.1467-8640.2012.00419.x db/journals/ci/ci28.html#BengioCDLSHL12

James Bergstra Yoshua Bengio Random Search for Hyper-Parameter Optimization. 281-305 2012 13 J. Mach. Learn. Res. https://dl.acm.org/doi/10.5555/2503308.2188395 db/journals/jmlr/jmlr13.html#BergstraB12

Hugo Larochelle Michael I. Mandel Razvan Pascanu Yoshua Bengio Learning Algorithms for the Classification Restricted Boltzmann Machine. 643-669 2012 13 J. Mach. Learn. Res. https://dl.acm.org/doi/10.5555/2503308.2188407 db/journals/jmlr/jmlr13.html#LarochelleMPB12

Olivier Delalleau Emile Contal Eric Thibodeau-Laufer Raul Chandias Ferrari Yoshua Bengio Frank Zhang Beyond Skill Rating: Advanced Matchmaking in Ghost Recon Online. 167-177 2012 4 IEEE Trans. Comput. Intell. AI Games 3 https://doi.org/10.1109/TCIAIG.2012.2188833 http://doi.ieeecomputersociety.org/10.1109/TCIAIG.2012.2188833 db/journals/tciaig/tciaig4.html#DelalleauCTFBZ12

Richard Socher Yoshua Bengio Christopher D. Manning Deep Learning for NLP (without Magic). 5 2012 ACL (Tutorial Abstracts) https://aclanthology.org/P12-4005/ conf/acl/2012t db/conf/acl/acl2012t.html#SocherBM12 Salah Rifai Yoshua Bengio Aaron C. Courville Pascal Vincent Mehdi Mirza Disentangling Factors of Variation for Facial Expression Recognition. 808-822 2012 ECCV (6) https://doi.org/10.1007/978-3-642-33783-3_58 conf/eccv/2012-6 db/conf/eccv/eccv2012-6.html#RifaiBCVM12 Nicolas Boulanger-Lewandowski Yoshua Bengio Pascal Vincent Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription. 2012 ICML http://icml.cc/2012/papers/590.pdf conf/icml/2012 db/conf/icml/icml2012.html#Boulanger-LewandowskiBV12 Ian J. Goodfellow Aaron C. Courville Yoshua Bengio Large-Scale Feature Learning With Spike-and-Slab Sparse Coding. 2012 ICML http://icml.cc/2012/papers/718.pdf conf/icml/2012 db/conf/icml/icml2012.html#GoodfellowCB12 Salah Rifai Yann N. Dauphin Pascal Vincent Yoshua Bengio A Generative Process for Contractive Auto-Encoders. 2012 ICML http://icml.cc/2012/papers/910.pdf conf/icml/2012 db/conf/icml/icml2012.html#RifaiDVB12 Nicolas Boulanger-Lewandowski Yoshua Bengio Pascal Vincent Discriminative Non-negative Matrix Factorization for Multiple Pitch Estimation. 205-210 2012 ISMIR http://ismir2012.ismir.net/event/papers/205-ismir-2012.pdf conf/ismir/2012 db/conf/ismir/ismir2012.html#Boulanger-LewandowskiBV12 Philippe Hamel Yoshua Bengio Douglas Eck Building Musically-relevant Audio Features through Multiple Timescale Representations. 553-558 2012 ISMIR http://ismir2012.ismir.net/event/papers/553-ismir-2012.pdf conf/ismir/2012 db/conf/ismir/ismir2012.html#HamelBE12 Yoshua Bengio Deep Learning of Representations for Unsupervised and Transfer Learning. 17-36 ICML Unsupervised and Transfer Learning conf/icml/2011utl 2012 http://proceedings.mlr.press/v27/bengio12a.html db/journals/jmlr/jmlrp27.html#Bengio12 Grégoire Mesnil Yann N. Dauphin Xavier Glorot Salah Rifai Yoshua Bengio Ian J. Goodfellow Erick Lavoie Xavier Muller Guillaume Desjardins David Warde-Farley Pascal Vincent Aaron C. Courville James Bergstra Unsupervised and Transfer Learning Challenge: a Deep Learning Approach. 97-110 ICML Unsupervised and Transfer Learning conf/icml/2011utl 2012 http://proceedings.mlr.press/v27/mesnil12a.html db/journals/jmlr/jmlrp27.html#MesnilDGRBGLMDWVCB12 Antoine Bordes Xavier Glorot Jason Weston Yoshua Bengio Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing. 127-135 AISTATS 2012 conf/aistats/2012 http://proceedings.mlr.press/v22/bordes12.html db/journals/jmlr/jmlrp22.html#BordesGWB12 Yoshua Bengio Practical Recommendations for Gradient-Based Training of Deep Architectures. 437-478 2012 Neural Networks: Tricks of the Trade (2nd ed.) https://doi.org/10.1007/978-3-642-35289-8_26 series/lncs/7700 db/series/lncs/lncs7700.html#Bengio12

Ian J. Goodfellow Aaron C. Courville Yoshua Bengio Spike-and-Slab Sparse Coding for Unsupervised Feature Discovery http://arxiv.org/abs/1201.3382 2012 CoRR abs/1201.3382 db/journals/corr/corr1201.html#abs-1201-3382

Yoshua Bengio Evolving Culture vs Local Minima http://arxiv.org/abs/1203.2990 2012 CoRR abs/1203.2990 db/journals/corr/corr1203.html#abs-1203-2990

Guillaume Desjardins Aaron C. Courville Yoshua Bengio On Training Deep Boltzmann Machines http://arxiv.org/abs/1203.4416 2012 CoRR abs/1203.4416 db/journals/corr/corr1203.html#abs-1203-4416

Yoshua Bengio Practical recommendations for gradient-based training of deep architectures http://arxiv.org/abs/1206.5533 2012 CoRR abs/1206.5533 db/journals/corr/corr1206.html#abs-1206-5533

Yoshua Bengio Aaron C. Courville Pascal Vincent Unsupervised Feature Learning and Deep Learning: A Review and New Perspectives http://arxiv.org/abs/1206.5538 2012 CoRR abs/1206.5538 db/journals/corr/corr1206.html#abs-1206-5538

Yoshua Bengio Guillaume Alain Salah Rifai Implicit Density Estimation by Local Moment Matching to Sample from Auto-Encoders http://arxiv.org/abs/1207.0057 2012 CoRR abs/1207.0057 db/journals/corr/corr1207.html#abs-1207-0057

Yoshua Bengio Grégoire Mesnil Yann N. Dauphin Salah Rifai Better Mixing via Deep Representations http://arxiv.org/abs/1207.4404 2012 CoRR abs/1207.4404 db/journals/corr/corr1207.html#abs-1207-4404

Olivier Delalleau Aaron C. Courville Yoshua Bengio Efficient EM Training of Gaussian Mixtures with Missing Data http://arxiv.org/abs/1209.0521 2012 CoRR abs/1209.0521 db/journals/corr/corr1209.html#abs-1209-0521

Guillaume Desjardins Aaron C. Courville Yoshua Bengio Disentangling Factors of Variation via Generative Entangling http://arxiv.org/abs/1210.5474 2012 CoRR abs/1210.5474 db/journals/corr/corr1210.html#abs-1210-5474

Razvan Pascanu Tomás Mikolov Yoshua Bengio Understanding the exploding gradient problem http://arxiv.org/abs/1211.5063 2012 CoRR abs/1211.5063 db/journals/corr/corr1211.html#abs-1211-5063

Frédéric Bastien Pascal Lamblin Razvan Pascanu James Bergstra Ian J. Goodfellow Arnaud Bergeron Nicolas Bouchard David Warde-Farley Yoshua Bengio Theano: new features and speed improvements http://arxiv.org/abs/1211.5590 2012 CoRR abs/1211.5590 db/journals/corr/corr1211.html#abs-1211-5590

Heng Luo Pierre Luc Carrier Aaron C. Courville Yoshua Bengio Texture Modeling with Convolutional Spike-and-Slab RBMs and Deep Extensions http://arxiv.org/abs/1211.5687 2012 CoRR abs/1211.5687 db/journals/corr/corr1211.html#abs-1211-5687

Yoshua Bengio Nicolas Boulanger-Lewandowski Razvan Pascanu Advances in Optimizing Recurrent Networks http://arxiv.org/abs/1212.0901 2012 CoRR abs/1212.0901 db/journals/corr/corr1212.html#abs-1212-0901

Nicolas Boulanger-Lewandowski Yoshua Bengio Pascal Vincent High-dimensional sequence transduction http://arxiv.org/abs/1212.1936 2012 CoRR abs/1212.1936 db/journals/corr/corr1212.html#abs-1212-1936

Ian J. Goodfellow Aaron C. Courville Yoshua Bengio Joint Training of Deep Boltzmann Machines http://arxiv.org/abs/1212.2686 2012 CoRR abs/1212.2686 db/journals/corr/corr1212.html#abs-1212-2686

James Bergstra Yoshua Bengio Jérôme Louradour Suitability of V1 Energy Models for Object Classification. 774-790 2011 23 Neural Comput. 3 https://doi.org/10.1162/NECO_a_00084 https://www.wikidata.org/entity/Q51610122 db/journals/neco/neco23.html#BergstraBL11

Olivier Breuleux Yoshua Bengio Pascal Vincent Quickly Generating Representative Samples from an RBM-Derived Process. 2058-2073 2011 23 Neural Comput. 8 https://doi.org/10.1162/NECO_a_00158 db/journals/neco/neco23.html#BreuleuxBV11

Michael I. Mandel Razvan Pascanu Douglas Eck Yoshua Bengio Luca Maria Aiello Rossano Schifanella Filippo Menczer Contextual tag inference. 32 2011 7 ACM Trans. Multim. Comput. Commun. Appl. Supplement https://doi.org/10.1145/2037676.2037689 https://www.wikidata.org/entity/Q59765505 db/journals/tomccap/tomccap7.html#MandelPEBASM11

Antoine Bordes Jason Weston Ronan Collobert Yoshua Bengio Learning Structured Embeddings of Knowledge Bases. 2011 AAAI https://doi.org/10.1609/aaai.v25i1.7917 conf/aaai/2011 db/conf/aaai/aaai2011.html#BordesWCB11 301-306 Yoshua Bengio Olivier Delalleau On the Expressive Power of Deep Architectures. 18-36 2011 ALT https://doi.org/10.1007/978-3-642-24412-4_3 conf/alt/2011 db/conf/alt/alt2011.html#BengioD11 Yoshua Bengio Olivier Delalleau On the Expressive Power of Deep Architectures. 1 2011 Discovery Science https://doi.org/10.1007/978-3-642-24477-3_1 conf/dis/2011 db/conf/dis/dis2011.html#BengioD11 Xavier Glorot Antoine Bordes Yoshua Bengio Domain Adaptation for Large-Scale Sentiment Classification: A Deep Learning Approach. 513-520 2011 ICML conf/icml/2011 https://icml.cc/2011/papers/342_icmlpaper.pdf db/conf/icml/icml2011.html#GlorotBB11 Salah Rifai Pascal Vincent Xavier Muller Xavier Glorot Yoshua Bengio Contractive Auto-Encoders: Explicit Invariance During Feature Extraction. 833-840 2011 ICML conf/icml/2011 https://icml.cc/2011/papers/455_icmlpaper.pdf db/conf/icml/icml2011.html#RifaiVMGB11 Yann N. Dauphin Xavier Glorot Yoshua Bengio Large-Scale Learning of Embeddings with Reconstruction Sampling. 945-952 2011 ICML conf/icml/2011 https://icml.cc/2011/papers/491_icmlpaper.pdf db/conf/icml/icml2011.html#DauphinGB11 Aaron C. Courville James Bergstra Yoshua Bengio Unsupervised Models of Images by Spikeand-Slab RBMs. 1145-1152 2011 ICML conf/icml/2011 https://icml.cc/2011/papers/591_icmlpaper.pdf db/conf/icml/icml2011.html#CourvilleBB11 Philippe Hamel Simon Lemieux Yoshua Bengio Douglas Eck Temporal Pooling and Multiscale Learning for Automatic Annotation and Ranking of Music Audio. 729-734 2011 ISMIR http://ismir2011.ismir.net/papers/PS6-13.pdf conf/ismir/2011 db/conf/ismir/ismir2011.html#HamelLBE11 Yoshua Bengio On learning distributed representations of semantics. 2011 MLSLP https://www.isca-archive.org/mlslp_2011/bengio11_mlslp.html conf/mlslp/2011 db/conf/mlslp/mlslp2011.html#Bengio11 Olivier Delalleau Yoshua Bengio Shallow vs. Deep Sum-Product Networks. 666-674 2011 NIPS https://proceedings.neurips.cc/paper/2011/hash/8e6b42f1644ecb1327dc03ab345e618b-Abstract.html http://papers.nips.cc/paper/4350-shallow-vs-deep-sum-product-networks conf/nips/2011 db/conf/nips/nips2011.html#DelalleauB11 Salah Rifai Yann N. Dauphin Pascal Vincent Yoshua Bengio Xavier Muller The Manifold Tangent Classifier. 2294-2302 2011 NIPS https://proceedings.neurips.cc/paper/2011/hash/d1f44e2f09dc172978a4d3151d11d63e-Abstract.html http://papers.nips.cc/paper/4409-the-manifold-tangent-classifier conf/nips/2011 db/conf/nips/nips2011.html#RifaiDVBM11 Guillaume Desjardins Aaron C. Courville Yoshua Bengio On Tracking The Partition Function. 2501-2509 2011 NIPS https://proceedings.neurips.cc/paper/2011/hash/861dc9bd7f4e7dd3cccd534d0ae2a2e9-Abstract.html http://papers.nips.cc/paper/4351-on-tracking-the-partition-function conf/nips/2011 db/conf/nips/nips2011.html#DesjardinsCB11 James Bergstra Rémi Bardenet Yoshua Bengio Balázs Kégl Algorithms for Hyper-Parameter Optimization. 2546-2554 2011 NIPS https://proceedings.neurips.cc/paper/2011/hash/86e8f7ab32cfd12577bc2619bc635690-Abstract.html http://papers.nips.cc/paper/4443-algorithms-for-hyper-parameter-optimization conf/nips/2011 db/conf/nips/nips2011.html#BergstraBBK11 Salah Rifai Grégoire Mesnil Pascal Vincent Xavier Muller Yoshua Bengio Yann N. Dauphin Xavier Glorot Higher Order Contractive Auto-Encoder. 645-660 2011 ECML/PKDD (2) https://doi.org/10.1007/978-3-642-23783-6_41 conf/pkdd/2011-2 db/conf/pkdd/pkdd2011-2.html#RifaiMVMBDG11 Yoshua Bengio Discussion of "The Neural Autoregressive Distribution Estimator". 38-39 AISTATS 2011 conf/aistats/2011 http://proceedings.mlr.press/v15/bengio11a/bengio11a.pdf db/journals/jmlr/jmlrp15.html#Bengio11 Yoshua Bengio Frédéric Bastien Arnaud Bergeron Nicolas Boulanger-Lewandowski Thomas M. Breuel Youssouf Chherawala Moustapha Cissé Myriam Côté Dumitru Erhan Jeremy Eustache Xavier Glorot Xavier Muller Sylvain Pannetier Lebeuf Razvan Pascanu Salah Rifai François Savard Guillaume Sicard Deep Learners Benefit More from Out-of-Distribution Examples. 164-172 AISTATS 2011 conf/aistats/2011 http://proceedings.mlr.press/v15/bengio11b/bengio11b.pdf db/journals/jmlr/jmlrp15.html#BengioBBBBCCCEEGMLPRSS11 Aaron C. Courville James Bergstra Yoshua Bengio A Spike and Slab Restricted Boltzmann Machine. 233-241 AISTATS 2011 conf/aistats/2011 http://proceedings.mlr.press/v15/courville11a/courville11a.pdf db/journals/jmlr/jmlrp15.html#CourvilleBB11 Xavier Glorot Antoine Bordes Yoshua Bengio Deep Sparse Rectifier Neural Networks. 315-323 AISTATS 2011 conf/aistats/2011 http://proceedings.mlr.press/v15/glorot11a/glorot11a.pdf db/journals/jmlr/jmlrp15.html#GlorotBB11

Michael I. Mandel Razvan Pascanu Hugo Larochelle Yoshua Bengio Autotagging music with conditional restricted Boltzmann machines http://arxiv.org/abs/1103.2832 2011 CoRR abs/1103.2832 db/journals/corr/corr1103.html#abs-1103-2832

Salah Rifai Xavier Glorot Yoshua Bengio Pascal Vincent Adding noise to the input of a model trained with a regularized objective http://arxiv.org/abs/1104.3250 2011 CoRR abs/1104.3250 db/journals/corr/corr1104.html#abs-1104-3250

Salah Rifai Xavier Muller Xavier Glorot Grégoire Mesnil Yoshua Bengio Pascal Vincent Learning invariant features through local space contraction http://arxiv.org/abs/1104.4153 2011 CoRR abs/1104.4153 db/journals/corr/corr1104.html#abs-1104-4153

Antoine Bordes Xavier Glorot Jason Weston Yoshua Bengio Towards Open-Text Semantic Parsing via Multi-Task Learning of Structured Embeddings http://arxiv.org/abs/1107.3663 2011 CoRR abs/1107.3663 db/journals/corr/corr1107.html#abs-1107-3663

James Bergstra Aaron C. Courville Yoshua Bengio The Statistical Inefficiency of Sparse Coding for Images (or, One Gabor to Rule them All) http://arxiv.org/abs/1109.6638 2011 CoRR abs/1109.6638 db/journals/corr/corr1109.html#abs-1109-6638

Yoshua Bengio Olivier Delalleau Clarence Simard Decision trees do not generalize to new variations. 449-467 2010 26 Comput. Intell. 4 https://doi.org/10.1111/j.1467-8640.2010.00366.x db/journals/ci/ci26.html#BengioDS10

François Rivest John Kalaska Yoshua Bengio Alternative time representation in dopamine models. 107-130 2010 28 J. Comput. Neurosci. 1 https://doi.org/10.1007/s10827-009-0191-1 https://www.wikidata.org/entity/Q42461672 db/journals/jcns/jcns28.html#RivestKB10

Dumitru Erhan Yoshua Bengio Aaron C. Courville Pierre-Antoine Manzagol Pascal Vincent Samy Bengio Why Does Unsupervised Pre-training Help Deep Learning? 625-660 2010 11 J. Mach. Learn. Res. https://dl.acm.org/doi/10.5555/1756006.1756025 db/journals/jmlr/jmlr11.html#ErhanBCMVB10

Pascal Vincent Hugo Larochelle Isabelle Lajoie Yoshua Bengio Pierre-Antoine Manzagol Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion. 3371-3408 2010 11 J. Mach. Learn. Res. https://dl.acm.org/doi/10.5555/1756006.1953039 db/journals/jmlr/jmlr11.html#VincentLLBM10

Nicolas Le Roux Yoshua Bengio Deep Belief Networks Are Compact Universal Approximators. 2192-2207 2010 22 Neural Comput. 8 https://doi.org/10.1162/neco.2010.08-09-1081 db/journals/neco/neco22.html#RouxB10

Hugo Larochelle Yoshua Bengio Joseph P. Turian Tractable Multivariate Binary Density Estimation and the Restricted Boltzmann Forest. 2285-2307 2010 22 Neural Comput. 9 https://doi.org/10.1162/NECO_a_00014 https://www.wikidata.org/entity/Q51687267 db/journals/neco/neco22.html#LarochelleBT10

Joseph P. Turian Lev-Arie Ratinov Yoshua Bengio Word Representations: A Simple and General Method for Semi-Supervised Learning. 384-394 2010 ACL https://aclanthology.org/P10-1040/ conf/acl/2010 db/conf/acl/acl2010.html#TurianRB10 Michael I. Mandel Douglas Eck Yoshua Bengio Learning Tags that Vary Within a Song. 399-404 2010 ISMIR http://ismir2010.ismir.net/proceedings/ismir2010-68.pdf conf/ismir/2010 db/conf/ismir/ismir2010.html#MandelEB10 James Bergstra Olivier Breuleux Frédéric Bastien Pascal Lamblin Razvan Pascanu Guillaume Desjardins Joseph P. Turian David Warde-Farley Yoshua Bengio Theano: A CPU and GPU Math Compiler in Python. 18-24 2010 SciPy https://doi.org/10.25080/Majora-92bf1922-003 conf/scipy/2010 db/conf/scipy/scipy2010.html#BergstraBBLPDTWB10 Guillaume Desjardins Aaron C. Courville Yoshua Bengio Pascal Vincent Olivier Delalleau Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines. 145-152 AISTATS 2010 conf/aistats/2010 http://proceedings.mlr.press/v9/desjardins10a.html db/journals/jmlr/jmlrp9.html#DesjardinsCBVD10 Dumitru Erhan Aaron C. Courville Yoshua Bengio Pascal Vincent Why Does Unsupervised Pre-training Help Deep Learning? 201-208 AISTATS 2010 conf/aistats/2010 http://proceedings.mlr.press/v9/erhan10a.html db/journals/jmlr/jmlrp9.html#ErhanCBV10 Xavier Glorot Yoshua Bengio Understanding the difficulty of training deep feedforward neural networks. 249-256 AISTATS 2010 conf/aistats/2010 http://proceedings.mlr.press/v9/glorot10a.html db/journals/jmlr/jmlrp9.html#GlorotB10

Frédéric Bastien Yoshua Bengio Arnaud Bergeron Nicolas Boulanger-Lewandowski Thomas M. Breuel Youssouf Chherawala Moustapha Cissé Myriam Côté Dumitru Erhan Jeremy Eustache Xavier Glorot Xavier Muller Sylvain Pannetier Lebeuf Razvan Pascanu Salah Rifai François Savard Guillaume Sicard Deep Self-Taught Learning for Handwritten Character Recognition http://arxiv.org/abs/1009.3589 2010 CoRR abs/1009.3589 db/journals/corr/corr1009.html#abs-1009-3589

Guillaume Desjardins Aaron C. Courville Yoshua Bengio Adaptive Parallel Tempering for Stochastic Maximum Likelihood Learning of RBMs http://arxiv.org/abs/1012.3476 2010 CoRR abs/1012.3476 db/journals/corr/corr1012.html#abs-1012-3476

Yoshua Bengio Learning Deep Architectures for AI. 1-127 2009 2 Found. Trends Mach. Learn. 1 https://doi.org/10.1561/2200000006 https://www.wikidata.org/entity/Q29306504 db/journals/ftml/ftml2.html#Bengio09

Hugo Larochelle Yoshua Bengio Jérôme Louradour Pascal Lamblin Exploring Strategies for Training Deep Neural Networks. 1-40 2009 10 J. Mach. Learn. Res. https://dl.acm.org/doi/10.5555/1577069.1577070 db/journals/jmlr/jmlr10.html#LarochelleBLL09

Charles Dugas Yoshua Bengio François Bélisle Claude Nadeau René Garcia Incorporating Functional Knowledge in Neural Networks. 1239-1262 2009 10 J. Mach. Learn. Res. https://dl.acm.org/doi/10.5555/1577069.1577111 db/journals/jmlr/jmlr10.html#DugasBBNG09

Yoshua Bengio Olivier Delalleau Justifying and Generalizing Contrastive Divergence. 1601-1621 2009 21 Neural Comput. 6 https://doi.org/10.1162/neco.2008.11-07-647 https://www.wikidata.org/entity/Q51946417 db/journals/neco/neco21.html#BengioD09

Julie Carreau Yoshua Bengio A Hybrid Pareto Mixture for Conditional Asymmetric Fat-Tailed Distributions. 1087-1101 2009 20 IEEE Trans. Neural Networks 7 https://doi.org/10.1109/TNN.2009.2016339 https://www.wikidata.org/entity/Q51826902 db/journals/tnn/tnn20.html#CarreauB09

Kai Yu Ruslan Salakhutdinov Yann LeCun Geoffrey E. Hinton Yoshua Bengio Workshop summary: Workshop on learning feature hierarchies. 5 2009 ICML https://doi.org/10.1145/1553374.1553543 conf/icml/2009 db/conf/icml/icml2009.html#YuSLHB09 Yoshua Bengio Jérôme Louradour Ronan Collobert Jason Weston Curriculum learning. 41-48 2009 ICML https://doi.org/10.1145/1553374.1553380 https://www.wikidata.org/entity/Q42295194 conf/icml/2009 db/conf/icml/icml2009.html#BengioLCW09 Joseph P. Turian James Bergstra Yoshua Bengio Quadratic Features and Deep Architectures for Chunking. 245-248 2009 HLT-NAACL (Short Papers) https://aclanthology.org/N09-2062/ conf/naacl/2009s db/conf/naacl/naacl2009s.html#TurianBB09 James Bergstra Yoshua Bengio Slow, Decorrelated Features for Pretraining Complex Cell-like Networks. 99-107 2009 NIPS https://proceedings.neurips.cc/paper/2009/hash/043c3d7e489c69b48737cc0c92d0f3a2-Abstract.html http://papers.nips.cc/paper/3868-slow-decorrelated-features-for-pretraining-complex-cell-like-networks conf/nips/2009 db/conf/nips/nips2009.html#BergstraB09 Aaron C. Courville Douglas Eck Yoshua Bengio An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism. 405-413 2009 NIPS https://proceedings.neurips.cc/paper/2009/hash/1e6e0a04d20f50967c64dac2d639a577-Abstract.html http://papers.nips.cc/paper/3833-an-infinite-factor-model-hierarchy-via-a-noisy-or-mechanism conf/nips/2009 db/conf/nips/nips2009.html#CourvilleEB09 Dumitru Erhan Pierre-Antoine Manzagol Yoshua Bengio Samy Bengio Pascal Vincent The Difficulty of Training Deep Architectures and the Effect of Unsupervised Pre-Training. 153-160 AISTATS 2009 conf/aistats/2009 http://proceedings.mlr.press/v5/erhan09a.html db/journals/jmlr/jmlrp5.html#ErhanMBBV09 Daphne Koller Dale Schuurmans Yoshua Bengio Léon Bottou Advances in Neural Information Processing Systems 21, Proceedings of the Twenty-Second Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 8-11, 2008 NIPS Curran Associates, Inc. 2009 https://proceedings.neurips.cc/paper/2008 http://papers.nips.cc/book/advances-in-neural-information-processing-systems-21-2008 db/conf/nips/nips2008.html Yoshua Bengio Dale Schuurmans John D. Lafferty Christopher K. I. Williams Aron Culotta Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, Vancouver, British Columbia, Canada. 2009 NIPS 9781615679119 Curran Associates, Inc. https://proceedings.neurips.cc/paper/2009 http://papers.nips.cc/book/advances-in-neural-information-processing-systems-22-2009 db/conf/nips/nips2009.html

Nicolas Le Roux Yoshua Bengio Representational Power of Restricted Boltzmann Machines and Deep Belief Networks. 1631-1649 2008 20 Neural Comput. 6 https://doi.org/10.1162/neco.2008.04-07-510 https://www.wikidata.org/entity/Q51894054 db/journals/neco/neco20.html#RouxB08

Yoshua Bengio Neural net language models. 3881 2008 3 Scholarpedia 1 https://doi.org/10.4249/scholarpedia.3881 db/journals/scholarpedia/scholarpedia3.html#Bengio08

Yoshua Bengio Jean-Sébastien Senecal Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model. 713-722 2008 19 IEEE Trans. Neural Networks 4 https://doi.org/10.1109/TNN.2007.912312 https://www.wikidata.org/entity/Q51889137 db/journals/tnn/tnn19.html#BengioS08

Hugo Larochelle Dumitru Erhan Yoshua Bengio Zero-data Learning of New Tasks. 646-651 2008 AAAI conf/aaai/2008 db/conf/aaai/aaai2008.html#LarochelleEB08 http://www.aaai.org/Library/AAAI/2008/aaai08-103.php Hugo Larochelle Yoshua Bengio Classification using discriminative restricted Boltzmann machines. 536-543 2008 ICML https://doi.org/10.1145/1390156.1390224 https://www.wikidata.org/entity/Q56427174 conf/icml/2008 db/conf/icml/icml2008.html#LarochelleB08 Pascal Vincent Hugo Larochelle Yoshua Bengio Pierre-Antoine Manzagol Extracting and composing robust features with denoising autoencoders. 1096-1103 2008 ICML https://doi.org/10.1145/1390156.1390294 https://www.wikidata.org/entity/Q57257952 conf/icml/2008 db/conf/icml/icml2008.html#VincentLBM08

Nicolas Chapados Yoshua Bengio Noisy K Best-Paths for Approximate Dynamic Programming with Application to Portfolio Optimization. 12-19 2007 2 J. Comput. 1 http://www.jcomputers.us/index.php?m=content&c=index&a=show&catid=72&id=877 https://doi.org/10.4304/jcp.2.1.12-19 db/journals/jcp/jcp2.html#ChapadosB07

Hugo Larochelle Dumitru Erhan Aaron C. Courville James Bergstra Yoshua Bengio An empirical evaluation of deep architectures on problems with many factors of variation. 473-480 2007 conf/icml/2007 ICML https://doi.org/10.1145/1273496.1273556 https://www.wikidata.org/entity/Q56058035 db/conf/icml/icml2007.html#LarochelleECBB07 Nicolas Chapados Yoshua Bengio Augmented Functional Time Series Representation and Forecasting with Gaussian Processes. 2007 NIPS https://proceedings.neurips.cc/paper/2007/hash/81e74d678581a3bb7a720b019f4f1a93-Abstract.html http://papers.nips.cc/paper/3324-augmented-functional-time-series-representation-and-forecasting-with-gaussian-processes conf/nips/2007 db/conf/nips/nips2007.html#ChapadosB07 265-272 Nicolas Le Roux Yoshua Bengio Pascal Lamblin Marc Joliveau Balázs Kégl Learning the 2-D Topology of Images. 2007 NIPS https://proceedings.neurips.cc/paper/2007/hash/7fa732b517cbed14a48843d74526c11a-Abstract.html http://papers.nips.cc/paper/3206-learning-the-2-d-topology-of-images conf/nips/2007 db/conf/nips/nips2007.html#RouxBLJK07 841-848 Nicolas Le Roux Pierre-Antoine Manzagol Yoshua Bengio Topmoumoute Online Natural Gradient Algorithm. 2007 NIPS https://proceedings.neurips.cc/paper/2007/hash/9f61408e3afb633e50cdf1b20de6f466-Abstract.html http://papers.nips.cc/paper/3234-topmoumoute-online-natural-gradient-algorithm conf/nips/2007 db/conf/nips/nips2007.html#RouxMB07 849-856 Julie Carreau Yoshua Bengio A Hybrid Pareto Model for Conditional Density Estimation of Asymmetric Fat-Tail Data. 51-58 AISTATS 2007 conf/aistats/2007 http://proceedings.mlr.press/v2/carreau07a.html db/journals/jmlr/jmlrp2.html#CarreauB07 Nicolas Le Roux Yoshua Bengio Continuous Neural Networks. 404-411 AISTATS 2007 conf/aistats/2007 http://proceedings.mlr.press/v2/leroux07a.html db/journals/jmlr/jmlrp2.html#RouxB07

Dumitru Erhan Pierre-Jean L'Heureux Shi Yi Yue Yoshua Bengio Collaborative Filtering on a Family of Biological Targets. 626-635 2006 46 J. Chem. Inf. Model. 2 https://doi.org/10.1021/ci050367t https://www.wikidata.org/entity/Q45966036 db/journals/jcisd/jcisd46.html#ErhanLYB06

Yoshua Bengio Martin Monperrus Hugo Larochelle Nonlocal Estimation of Manifold Structure. 2509-2528 2006 18 Neural Comput. 10 https://doi.org/10.1162/neco.2006.18.10.2509 https://www.wikidata.org/entity/Q42595279 db/journals/neco/neco18.html#BengioML06

Nicolas Chapados Yoshua Bengio The <i>K</i> Best-Paths Approach to Approximate Dynamic Programming with Application to Portfolio Optimization. 491-502 2006 conf/ai/2006 Canadian AI https://doi.org/10.1007/11766247_42 db/conf/ai/ai2006.html#ChapadosB06 Yoshua Bengio Pascal Lamblin Dan Popovici Hugo Larochelle Greedy Layer-Wise Training of Deep Networks. 153-160 2006 conf/nips/2006 NIPS https://proceedings.neurips.cc/paper/2006/hash/5da713a690c067105aeb2fae32403405-Abstract.html http://papers.nips.cc/paper/3048-greedy-layer-wise-training-of-deep-networks db/conf/nips/nips2006.html#BengioLPL06 Yves Grandvalet Yoshua Bengio Entropy Regularization. 151-168 2006 Semi-Supervised Learning https://doi.org/10.7551/mitpress/9780262033589.003.0009 books/mit/06/CSZ2006 db/books/collections/CSZ2006.html#GrandvaletB06 Yoshua Bengio Olivier Delalleau Nicolas Le Roux Label Propagation and Quadratic Criterion. 192-216 2006 Semi-Supervised Learning https://doi.org/10.7551/mitpress/9780262033589.003.0011 books/mit/06/CSZ2006 db/books/collections/CSZ2006.html#BengioDR06 Olivier Delalleau Yoshua Bengio Nicolas Le Roux Large-Scale Algorithms. 332-341 2006 Semi-Supervised Learning https://doi.org/10.7551/mitpress/9780262033589.003.0018 books/mit/06/CSZ2006 db/books/collections/CSZ2006.html#DelalleauBR06 Yoshua Bengio Olivier Delalleau Nicolas Le Roux Jean-François Paiement Pascal Vincent Marie Ouimet Spectral Dimensionality Reduction. 519-550 2006 Feature Extraction https://doi.org/10.1007/978-3-540-35488-8_28 books/sp/06/GNGZ2006 db/books/collections/GNGZ2006.html#BengioDRPVO06 Olivier Delalleau Yoshua Bengio Nicolas Le Roux Efficient Non-Parametric Function Induction in Semi-Supervised Learning. 2005 AISTATS http://www.gatsby.ucl.ac.uk/aistats/fullpapers/204.pdf https://proceedings.mlr.press/r5/delalleau05a.html conf/aistats/2005 db/conf/aistats/aistats2005.html#DelalleauBR05 96-103 Frederic Morin Yoshua Bengio Hierarchical Probabilistic Neural Network Language Model. 2005 AISTATS http://www.gatsby.ucl.ac.uk/aistats/fullpapers/208.pdf https://proceedings.mlr.press/r5/morin05a.html conf/aistats/2005 db/conf/aistats/aistats2005.html#MorinB05 246-252 Marie Ouimet Yoshua Bengio Greedy Spectral Embedding. 2005 AISTATS http://www.gatsby.ucl.ac.uk/aistats/fullpapers/209.pdf https://proceedings.mlr.press/r5/ouimet05a.html conf/aistats/2005 db/conf/aistats/aistats2005.html#OuimetB05 253-260 Yves Grandvalet Yoshua Bengio Semi-supervised Learning by Entropy Minimization. 281-296 2005 conf/cfap/2005 CAP db/conf/cfap/cap2005.html#GrandvaletB05 Yoshua Bengio Olivier Delalleau Nicolas Le Roux The Curse of Highly Variable Functions for Local Kernel Machines. 2005 conf/nips/2005 NIPS https://proceedings.neurips.cc/paper/2005/hash/663772ea088360f95bac3dc7ffb841be-Abstract.html http://papers.nips.cc/paper/2810-the-curse-of-highly-variable-functions-for-local-kernel-machines db/conf/nips/nips2005.html#BengioDR05 107-114 Yoshua Bengio Hugo Larochelle Pascal Vincent Non-Local Manifold Parzen Windows. 2005 conf/nips/2005 NIPS https://proceedings.neurips.cc/paper/2005/hash/17eb7ecc4c38e4705361cccd903ad8c6-Abstract.html http://papers.nips.cc/paper/2914-non-local-manifold-parzen-windows db/conf/nips/nips2005.html#BengioLV05 115-122 Yoshua Bengio Nicolas Le Roux Pascal Vincent Olivier Delalleau Patrice Marcotte Convex Neural Networks. 2005 conf/nips/2005 NIPS https://proceedings.neurips.cc/paper/2005/hash/0fc170ecbb8ff1afb2c6de48ea5343e7-Abstract.html http://papers.nips.cc/paper/2800-convex-neural-networks db/conf/nips/nips2005.html#BengioRVDM05 123-130

Pierre-Jean L'Heureux Julie Carreau Yoshua Bengio Olivier Delalleau Shi Yi Yue Locally Linear Embedding for dimensionality reduction in QSAR. 475-482 2004 18 J. Comput. Aided Mol. Des. 7 https://doi.org/10.1007/s10822-004-5319-9 https://www.wikidata.org/entity/Q52056851 db/journals/jcamd/jcamd18.html#LHeureuxCBDY04

Yoshua Bengio Yves Grandvalet No Unbiased Estimator of the Variance of K-Fold Cross-Validation. 1089-1105 2004 5 J. Mach. Learn. Res. https://jmlr.org/papers/volume5/grandvalet04a/grandvalet04a.pdf db/journals/jmlr/jmlr5.html#BengioG04

Yoshua Bengio Olivier Delalleau Nicolas Le Roux Jean-François Paiement Pascal Vincent Marie Ouimet Learning Eigenfunctions Links Spectral Embedding and Kernel PCA. 2197-2219 2004 16 Neural Comput. 10 https://doi.org/10.1162/0899766041732396 https://www.wikidata.org/entity/Q51990940 db/journals/neco/neco16.html#BengioDRPVO04

Indrajit Bhattacharya Lise Getoor Yoshua Bengio Unsupervised Sense Disambiguation Using Bilingual Probabilistic Models. 287-294 2004 conf/acl/2004 ACL https://aclanthology.org/P04-1037/ https://doi.org/10.3115/1218955.1218992 db/conf/acl/acl2004.html#BhattacharyaGB04 Yoshua Bengio Martin Monperrus Non-Local Manifold Tangent Learning. 2004 conf/nips/2004 NIPS https://proceedings.neurips.cc/paper/2004/hash/0b7e926154c1274e8b602ff0d7c133d7-Abstract.html http://papers.nips.cc/paper/2647-non-local-manifold-tangent-learning db/conf/nips/nips2004.html#BengioM04 129-136 Yves Grandvalet Yoshua Bengio Semi-supervised Learning by Entropy Minimization. 2004 conf/nips/2004 NIPS https://proceedings.neurips.cc/paper/2004/hash/96f2b50b5d3613adf9c27049b2a888c7-Abstract.html http://papers.nips.cc/paper/2740-semi-supervised-learning-by-entropy-minimization db/conf/nips/nips2004.html#GrandvaletB04 529-536 François Rivest Yoshua Bengio John Kalaska Brain Inspired Reinforcement Learning. 2004 conf/nips/2004 NIPS https://proceedings.neurips.cc/paper/2004/hash/d37b3ca37106b2bfdeaa12647e3bb1c9-Abstract.html http://papers.nips.cc/paper/2749-brain-inspired-reinforcement-learning db/conf/nips/nips2004.html#RivestBK04 1129-1136 Narjès Boufaden Yoshua Bengio Guy Lapalme Approche statistique pour le repérage de mots informatifs dans les textes oraux. 249-258 2004 TALN (Articles longs) https://aclanthology.org/2004.jeptalnrecital-long.26/ conf/taln/2004-1 db/conf/taln/taln2004-1.html#BoufadenBL04

Ronan Collobert Yoshua Bengio Samy Bengio Scaling Large Learning Problems with Hard Parallel Mixtures. 349-365 2003 17 Int. J. Pattern Recognit. Artif. Intell. 3 https://doi.org/10.1142/S0218001403002411 db/journals/ijprai/ijprai17.html#CollobertB03

Yoshua Bengio Réjean Ducharme Pascal Vincent Christian Janvin A Neural Probabilistic Language Model. 1137-1155 2003 3 J. Mach. Learn. Res. https://jmlr.org/papers/v3/bengio03a.html db/journals/jmlr/jmlr3.html#BengioDVJ03

Yoshua Bengio Nicolas Chapados Extensions to Metric-Based Model Selection. 1209-1227 2003 3 J. Mach. Learn. Res. https://jmlr.org/papers/v3/bengio03b.html db/journals/jmlr/jmlr3.html#BengioC03

Claude Nadeau Yoshua Bengio Inference for the Generalization Error. 239-281 2003 52 Mach. Learn. 3 https://doi.org/10.1023/A:1024068626366 db/journals/ml/ml52.html#NadeauB03

Joumana Ghosn Yoshua Bengio Bias learning, knowledge sharing. 748-765 2003 14 IEEE Trans. Neural Networks 4 https://doi.org/10.1109/TNN.2003.810608 https://www.wikidata.org/entity/Q51965867 db/journals/tnn/tnn14.html#GhosnB03

Yoshua Bengio Jean-Sébastien Senecal Quick Training of Probabilistic Neural Nets by Importance Sampling. 2003 AISTATS https://proceedings.mlr.press/r4/bengio03a.html conf/aistats/2003 db/conf/aistats/aistats2003.html#BengioS03 17-24 Yoshua Bengio Jean-François Paiement Pascal Vincent Olivier Delalleau Nicolas Le Roux Marie Ouimet Out-of-Sample Extensions for LLE, Isomap, MDS, Eigenmaps, and Spectral Clustering. 2003 conf/nips/2003 NIPS https://proceedings.neurips.cc/paper/2003/hash/cf05968255451bdefe3c5bc64d550517-Abstract.html http://papers.nips.cc/paper/2461-out-of-sample-extensions-for-lle-isomap-mds-eigenmaps-and-spectral-clustering db/conf/nips/nips2003.html#BengioPVDRO03 177-184 Yoshua Bengio Yves Grandvalet No Unbiased Estimator of the Variance of K-Fold Cross-Validation. 2003 conf/nips/2003 NIPS https://proceedings.neurips.cc/paper/2003/hash/e82c4b19b8151ddc25d4d93baf7b908f-Abstract.html http://papers.nips.cc/paper/2468-no-unbiased-estimator-of-the-variance-of-k-fold-cross-validation db/conf/nips/nips2003.html#BengioG03 513-520

Yoshua Bengio Dale Schuurmans Guest Introduction: Special Issue on New Methods for Model Selection and Model Combination. 5-7 2002 48 Mach. Learn. 1-3 db/journals/ml/ml48.html#BengioS02 https://doi.org/10.1023/A:1013921901994

Olivier Chapelle Vladimir Vapnik Yoshua Bengio Model Selection for Small Sample Regression. 9-23 2002 48 Mach. Learn. 1-3 db/journals/ml/ml48.html#ChapelleVB02 https://doi.org/10.1023/A:1013943418833

Pascal Vincent Yoshua Bengio Kernel Matching Pursuit. 165-187 2002 48 Mach. Learn. 1-3 db/journals/ml/ml48.html#VincentB02 https://doi.org/10.1023/A:1013955821559 https://www.wikidata.org/entity/Q64114264

Ronan Collobert Samy Bengio Yoshua Bengio A Parallel Mixture of SVMs for Very Large Scale Problems. 1105-1114 2002 14 Neural Comput. 5 https://doi.org/10.1162/089976602753633402 https://www.wikidata.org/entity/Q47345741 db/journals/neco/neco14.html#CollobertBB02

Ichiro Takeuchi Yoshua Bengio Takafumi Kanamori Robust Regression with Asymmetric Heavy-Tail Noise Distributions. 2469-2496 2002 14 Neural Comput. 10 https://doi.org/10.1162/08997660260293300 https://www.wikidata.org/entity/Q48616916 db/journals/neco/neco14.html#TakeuchiBK02

Pascal Vincent Yoshua Bengio Manifold Parzen Windows. 825-832 2002 conf/nips/2002 NIPS https://proceedings.neurips.cc/paper/2002/hash/2d969e2cee8cfa07ce7ca0bb13c7a36d-Abstract.html http://papers.nips.cc/paper/2203-manifold-parzen-windows db/conf/nips/nips2002.html#VincentB02 Yoshua Bengio Nicolas Chapados Metric-based model selection for time-series forecasting. 13-22 2002 NNSP https://doi.org/10.1109/NNSP.2002.1030013 conf/nnsp/2002 db/conf/nnsp/nnsp2002.html#BengioC02 Ronan Collobert Yoshua Bengio Samy Bengio Scaling Large Learning Problems with Hard Parallel Mixtures. 8-23 2002 conf/svm/2002 SVM https://doi.org/10.1007/3-540-45665-1_2 db/conf/svm/svm2002.html#CollobertBB02 Narjès Boufaden Guy Lapalme Yoshua Bengio Segmentation en thèmes de conversations téléphoniques : traitement en amont pour l'extraction d'information. 376-381 2002 TALN (Posters) https://aclanthology.org/2002.jeptalnrecital-poster.10/ conf/taln/2002-2 db/conf/taln/taln2002-2.html#BoufadenLB02

Yoshua Bengio Vincent-Philippe Lauzon Réjean Ducharme Experiments on the application of IOHMMs to model financial returns series. 113-123 2001 12 IEEE Trans. Neural Networks 1 https://doi.org/10.1109/72.896800 https://www.wikidata.org/entity/Q80617762 db/journals/tnn/tnn12.html#BengioLD01

Nicolas Chapados Yoshua Bengio Cost functions and model combination for VaR-based asset allocation using neural networks. 890-906 2001 12 IEEE Trans. Neural Networks 4 https://doi.org/10.1109/72.935098 https://www.wikidata.org/entity/Q80632339 db/journals/tnn/tnn12.html#ChapadosB01

Ronan Collobert Samy Bengio Yoshua Bengio A Parallel Mixture of SVMs for Very Large Scale Problems. 633-640 2001 conf/nips/2001 NIPS https://proceedings.neurips.cc/paper/2001/hash/36ac8e558ac7690b6f44e2cb5ef93322-Abstract.html http://papers.nips.cc/paper/1949-a-parallel-mixture-of-svms-for-very-large-scale-problems db/conf/nips/nips2001.html#CollobertBB01 Pascal Vincent Yoshua Bengio K-Local Hyperplane and Convex Distance Nearest Neighbor Algorithms. 985-992 2001 conf/nips/2001 NIPS https://proceedings.neurips.cc/paper/2001/hash/1359aa933b48b754a2f54adb688bfa77-Abstract.html http://papers.nips.cc/paper/2058-k-local-hyperplane-and-convex-distance-nearest-neighbor-algorithms db/conf/nips/nips2001.html#VincentB01 Nicolas Chapados Yoshua Bengio Pascal Vincent Joumana Ghosn Charles Dugas Ichiro Takeuchi Linyan Meng Estimating Car Insurance Premia: a Case Study in High-Dimensional Data Inference. 1369-1376 2001 conf/nips/2001 NIPS https://proceedings.neurips.cc/paper/2001/hash/2d405b367158e3f12d7c1e31a96b3af3-Abstract.html http://papers.nips.cc/paper/2062-estimating-car-insurance-premia-a-case-study-in-high-dimensional-data-inference db/conf/nips/nips2001.html#ChapadosBVGDTM01 Narjès Boufaden Guy Lapalme Yoshua Bengio Topic Segmentation : A First Stage to Dialog-Based Information Extraction. 273-279 2001 conf/nlprs/2001 NLPRS http://www.afnlp.org/nlprs2001/pdf/0097-01.pdf db/conf/nlprs/nlprs2001.html#BoufadenLB01

Holger Schwenk Yoshua Bengio Boosting Neural Networks. 1869-1887 2000 12 Neural Comput. 8 db/journals/neco/neco12.html#SchwenkB00 https://doi.org/10.1162/089976600300015178 https://www.wikidata.org/entity/Q45967331

Yoshua Bengio Gradient-Based Optimization of Hyperparameters. 1889-1900 2000 12 Neural Comput. 8 db/journals/neco/neco12.html#Bengio00 https://doi.org/10.1162/089976600300015187 https://www.wikidata.org/entity/Q45967328

Samy Bengio Yoshua Bengio Taking on the curse of dimensionality in joint distributions using neural networks. 550-557 2000 11 IEEE Trans. Neural Networks Learn. Syst. 3 https://doi.org/10.1109/72.846725 https://www.wikidata.org/entity/Q80632025 db/journals/tnn/tnn11.html#BengioB00

Joumana Ghosn Yoshua Bengio Bias Learning, Knowledge Sharing. 9-14 2000 conf/ijcnn/2000-1 IJCNN (1) https://doi.org/10.1109/IJCNN.2000.857806 https://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.857806 db/conf/ijcnn/ijcnn2000-1.html#GhosnB00 Yoshua Bengio Probabilistic Neural Network Models for Sequential Data. 79-84 2000 conf/ijcnn/2000-5 IJCNN (5) https://doi.org/10.1109/IJCNN.2000.861438 https://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.861438 db/conf/ijcnn/ijcnn2000-5.html#Bengio00a Pascal Vincent Yoshua Bengio A Neural Support Vector Network Architecture with Adaptive Kernels. 187-192 2000 conf/ijcnn/2000-5 IJCNN (5) https://doi.org/10.1109/IJCNN.2000.861455 https://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.861455 db/conf/ijcnn/ijcnn2000-5.html#VincentB00 Yoshua Bengio Continuous Optimization of Hyper-Parameters. 305-310 2000 conf/ijcnn/2000-1 IJCNN (1) https://doi.org/10.1109/IJCNN.2000.857853 https://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.857853 db/conf/ijcnn/ijcnn2000-1.html#Bengio00 Charles Dugas Yoshua Bengio François Bélisle Claude Nadeau René Garcia Incorporating Second-Order Functional Knowledge for Better Option Pricing. 472-478 2000 conf/nips/2000 NIPS db/conf/nips/nips2000.html#DugasBBNG00 https://proceedings.neurips.cc/paper/2000/hash/44968aece94f667e4095002d140b5896-Abstract.html http://papers.nips.cc/paper/1920-incorporating-second-order-functional-knowledge-for-better-option-pricing Yoshua Bengio Réjean Ducharme Pascal Vincent A Neural Probabilistic Language Model. 932-938 2000 conf/nips/2000 NIPS db/conf/nips/nips2000.html#BengioDV00 https://proceedings.neurips.cc/paper/2000/hash/728f206c2a01bf572b5940d7d9a8fa4c-Abstract.html http://papers.nips.cc/paper/1839-a-neural-probabilistic-language-model

Samy Bengio Yoshua Bengio Jacques Robert Gilles Bélanger Stochastic Learning of Strategic Equilibria for Auctions. 1199-1209 1999 11 Neural Comput. 5 db/journals/neco/neco11.html#BengioBRB99 https://doi.org/10.1162/089976699300016412

Steven Pigeon Yoshua Bengio Binary Pseudowavelets and Applications to Bilevel Image Processing. 364-373 1999 conf/dcc/1999 Data Compression Conference https://doi.org/10.1109/DCC.1999.755686 https://doi.ieeecomputersociety.org/10.1109/DCC.1999.755686 db/conf/dcc/dcc99.html#PigeonB99 Claude Nadeau Yoshua Bengio Inference for the Generalization Error. 307-313 http://papers.nips.cc/paper/1661-inference-for-the-generalization-error http://nips.djvuzone.org/djvu/nips12/0307.djvu 1999 conf/nips/1999 NIPS db/conf/nips/nips1999.html#NadeauB99 Yoshua Bengio Samy Bengio Modeling High-Dimensional Discrete Data with Multi-Layer Neural Networks. 400-406 http://papers.nips.cc/paper/1679-modeling-high-dimensional-discrete-data-with-multi-layer-neural-networks http://nips.djvuzone.org/djvu/nips12/0400.djvu 1999 conf/nips/1999 NIPS db/conf/nips/nips1999.html#BengioB99 Yann LeCun Patrick Haffner Léon Bottou Yoshua Bengio Object Recognition with Gradient-Based Learning. 319- 1999 conf/shape/1999 Shape, Contour and Grouping in Computer Vision https://doi.org/10.1007/3-540-46805-6_19 db/conf/shape/shape1999.html#CunHBB99

Yoshua Bengio Francois Gingras Bernard Goulard Jean-Marc Lina Keith Scott Gaussian Mixture Densities for Classification of Nuclear Power Plant Data. 1998 17 Comput. Artif. Intell. 2-3 db/journals/cai/cai17.html#BengioGGLS98 http://www.cai.sk/ojs/index.php/cai/article/view/637 189-209

Léon Bottou Patrick Haffner Paul G. Howard Patrice Y. Simard Yoshua Bengio Yann LeCun High quality document image compression with "DjVu". 410-425 1998 7 J. Electronic Imaging 3 https://doi.org/10.1117/1.482609 https://www.wikidata.org/entity/Q56533061 db/journals/jei/jei7.html#BottouHHSBL98

Yann LeCun Léon Bottou Yoshua Bengio Patrick Haffner Gradient-based learning applied to document recognition. 2278-2324 1998 86 Proc. IEEE 11 https://doi.org/10.1109/5.726791 https://www.wikidata.org/entity/Q30077859 db/journals/pieee/pieee86.html#LeCunBBH98

Patrick Haffner Léon Bottou Paul G. Howard Patrice Y. Simard Yoshua Bengio Yann LeCun Browsing through High Quality Document Images with DjVu. 309-318 1998 conf/adl/1998 ADL db/conf/adl/adl98.html#HaffnerBHSBC98 https://doi.org/10.1109/ADL.1998.670431 https://doi.ieeecomputersociety.org/10.1109/ADL.1998.670431 Léon Bottou Paul G. Howard Yoshua Bengio The Z-Coder Adaptive Binary Coder. 13-22 1998 conf/dcc/1998 Data Compression Conference https://doi.org/10.1109/DCC.1998.672124 https://doi.ieeecomputersociety.org/10.1109/DCC.1998.672124 db/conf/dcc/dcc98.html#BottouHB98 Steven Pigeon Yoshua Bengio A Memory-Efficient Adaptive Huffman Coding Algorthm for Very Large Sets of Symbols. 568 1998 conf/dcc/1998 Data Compression Conference https://doi.org/10.1109/DCC.1998.672310 https://doi.ieeecomputersociety.org/10.1109/DCC.1998.672310 db/conf/dcc/dcc98.html#PigeonB98 Martin Bonneville Jean Meunier Yoshua Bengio Jean-Paul Soucy Support vector machines for improving the classification of brain PET images. 1998 Image Processing https://doi.org/10.1117/12.310900 conf/miip/1998 db/conf/miip/miip1998.html#BonnevilleMBS98

Yoshua Bengio Using a Financial Training Criterion Rather than a Prediction Criterion. 433-443 1997 8 Int. J. Neural Syst. 4 https://doi.org/10.1142/S0129065797000422 https://www.wikidata.org/entity/Q52193040 db/journals/ijns/ijns8.html#Bengio97

Léon Bottou Yoshua Bengio Yann LeCun Global Training of Document Processing Systems Using Graph Transformer Networks. 489-494 1997 conf/cvpr/1997 CVPR https://doi.org/10.1109/CVPR.1997.609370 https://doi.ieeecomputersociety.org/10.1109/CVPR.1997.609370 db/conf/cvpr/cvpr1997.html#BottouBL97 Holger Schwenk Yoshua Bengio AdaBoosting Neural Networks: Application to on-line Character Recognition. 967-972 1997 conf/icann/1997 ICANN db/conf/icann/icann1997.html#SchwenkB97 https://doi.org/10.1007/BFb0020278 Yann LeCun Léon Bottou Yoshua Bengio Reading checks with multilayer graph transformer networks. 151-154 1997 ICASSP https://doi.org/10.1109/ICASSP.1997.599580 https://doi.ieeecomputersociety.org/10.1109/ICASSP.1997.599580 conf/icassp/1997 db/conf/icassp/icassp1997.html#LeCunBB97 Mazin Rahim Yoshua Bengio Yann LeCun Discriminative feature and model design for automatic speech recognition. 1997 EUROSPEECH https://doi.org/10.21437/Eurospeech.1997-46 conf/interspeech/1997 db/conf/interspeech/eurospeech1997.html#RahimBL97 75-78 Yoshua Bengio Samy Bengio Jean-Franc Isabelle Yoram Singer Shared Context Probabilistic Transducers. 1997 conf/nips/1997 NIPS db/conf/nips/nips1997.html#BengioBIS97 http://papers.nips.cc/paper/1379-shared-context-probabilistic-transducers 409-415 Holger Schwenk Yoshua Bengio Training Methods for Adaptive Boosting of Neural Networks. 1997 conf/nips/1997 NIPS db/conf/nips/nips1997.html#SchwenkB97 http://papers.nips.cc/paper/1335-training-methods-for-adaptive-boosting-of-neural-networks 647-653

Yoshua Bengio Paolo Frasconi Input-output HMMs for sequence processing. 1231-1249 1996 7 IEEE Trans. Neural Networks 5 https://doi.org/10.1109/72.536317 https://www.wikidata.org/entity/Q52203086 db/journals/tnn/tnn7.html#BengioF96

Joumana Ghosn Yoshua Bengio Multi-Task Learning for Stock Selection. 946-952 http://papers.nips.cc/paper/1221-multi-task-learning-for-stock-selection http://nips.djvuzone.org/djvu/nips09/0946.djvu 1996 conf/nips/1996N NIPS db/conf/nips/nipsN1996.html#GhosnB96

Yoshua Bengio Paolo Frasconi Diffusion of Context and Credit Information in Markovian Models. 249-270 1995 3 J. Artif. Intell. Res. db/journals/jair/jair3.html#BengioF95 https://doi.org/10.1613/jair.233 https://www.wikidata.org/entity/Q129534556

Yoshua Bengio Yann LeCun Craig R. Nohl Christopher J. C. Burges LeRec: a NN/HMM hybrid for on-line handwriting recognition. 1289-1303 1995 7 Neural Comput. 6 https://doi.org/10.1162/neco.1995.7.6.1289 https://www.wikidata.org/entity/Q52325970 db/journals/neco/neco7.html#BengioLNB95

Samy Bengio Yoshua Bengio Jocelyn Cloutier On the search for new learning rules for ANNs. 26-30 1995 2 Neural Process. Lett. 4 https://doi.org/10.1007/BF02279935 db/journals/npl/npl2.html#BengioBC95

Yoshua Bengio Francois Gingras Recurrent Neural Networks for Missing or Asynchronous Data. 395-401 http://papers.nips.cc/paper/1126-recurrent-neural-networks-for-missing-or-asynchronous-data http://nips.djvuzone.org/djvu/nips08/0395.djvu 1995 conf/nips/1995 NIPS db/conf/nips/nips1995.html#BengioG95 Salah El Hihi Yoshua Bengio Hierarchical Recurrent Neural Networks for Long-Term Dependencies. 493-499 http://papers.nips.cc/paper/1102-hierarchical-recurrent-neural-networks-for-long-term-dependencies http://nips.djvuzone.org/djvu/nips08/0493.djvu 1995 conf/nips/1995 NIPS db/conf/nips/nips1995.html#HihiB95

Yoshua Bengio Paolo Frasconi Diffusion of Context and Credit Information in Markovian Models. 1995 abs/cs/9510101 CoRR http://arxiv.org/abs/cs/9510101 db/journals/corr/corr9510.html#BengioF95

Yoshua Bengio Patrice Y. Simard Paolo Frasconi Learning long-term dependencies with gradient descent is difficult. 157-166 1994 5 IEEE Trans. Neural Networks 2 https://doi.org/10.1109/72.279181 https://www.wikidata.org/entity/Q52219282 db/journals/tnn/tnn5.html#BengioSF94

Samy Bengio Yoshua Bengio Jocelyn Cloutier Use of Genetic Programming for the Search of a New Learning Rule for Neural Networks. 324-327 1994 conf/icec/1994 International Conference on Evolutionary Computation db/conf/icec/icec1994-1.html#BengioBC94 https://doi.org/10.1109/ICEC.1994.349932 Yann LeCun Yoshua Bengio Word-level training of a handwritten word recognizer based on convolutional neural networks. 88-92 1994 ICPR (2) https://doi.org/10.1109/ICPR.1994.576881 https://doi.ieeecomputersociety.org/10.1109/ICPR.1994.576881 https://www.wikidata.org/entity/Q109969498 conf/icpr/1994-2 db/conf/icpr/icpr1994-2.html#LeCunB94 Paolo Frasconi Yoshua Bengio An EM approach to grammatical inference: input/output HMMs. 289-294 1994 ICPR (2) https://doi.org/10.1109/ICPR.1994.576922 https://doi.ieeecomputersociety.org/10.1109/ICPR.1994.576922 conf/icpr/1994-2 db/conf/icpr/icpr1994-2.html#FrasconiB94 Yoshua Bengio Yann LeCun Word normalization for online handwritten word recognition. 409-413 1994 ICPR (2) https://doi.org/10.1109/ICPR.1994.576966 https://doi.ieeecomputersociety.org/10.1109/ICPR.1994.576966 conf/icpr/1994-2 db/conf/icpr/icpr1994-2.html#BengioL94 Yoshua Bengio Paolo Frasconi An Input Output HMM Architecture. 427-434 https://proceedings.neurips.cc/paper_files/paper/1994/hash/8065d07da4a77621450aa84fee5656d9-Abstract.html http://nips.djvuzone.org/djvu/nips07/0427.djvu 1994 conf/nips/1994 NIPS db/conf/nips/nips1994.html#BengioF94 Yoshua Bengio Paolo Frasconi Diffusion of Credit in Markovian Models. 553-560 https://proceedings.neurips.cc/paper_files/paper/1994/hash/3e89ebdb49f712c7d90d1b39e348bbbf-Abstract.html http://nips.djvuzone.org/djvu/nips07/0553.djvu 1994 conf/nips/1994 NIPS db/conf/nips/nips1994.html#BengioF94a Léon Bottou Yoshua Bengio Convergence Properties of the K-Means Algorithms. 585-592 https://proceedings.neurips.cc/paper_files/paper/1994/hash/a1140a3d0df1c81e24ae954d935e8926-Abstract.html http://nips.djvuzone.org/djvu/nips07/0585.djvu 1994 conf/nips/1994 NIPS db/conf/nips/nips1994.html#BottouB94

Yoshua Bengio A Connectionist Approach to Speech Recognition. 647-667 1993 7 Int. J. Pattern Recognit. Artif. Intell. 4 db/journals/ijprai/ijprai7.html#Bengio93 https://doi.org/10.1142/S0218001493000327

Yoshua Bengio Paolo Frasconi Patrice Y. Simard The problem of learning long-term dependencies in recurrent networks. 1183-1188 1993 ICNN https://doi.org/10.1109/ICNN.1993.298725 conf/icnn/1993 db/conf/icnn/icnn1993.html#BengioFS93 Yoshua Bengio Paolo Frasconi Credit Assignment through Time: Alternatives to Backpropagation. 75-82 http://papers.nips.cc/paper/724-credit-assignment-through-time-alternatives-to-backpropagation http://nips.djvuzone.org/djvu/nips06/0075.djvu 1993 conf/nips/1993 NIPS db/conf/nips/nips1993.html#BengioF93 Yoshua Bengio Yann LeCun Donnie Henderson Globally Trained Handwritten Word Recognizer Using Spatial Representation, Convolutional Neural Networks, and Hidden Markov Models. 937-944 http://papers.nips.cc/paper/819-globally-trained-handwritten-word-recognizer-using-spatial-representation-convolutional-neural-networks-and-hidden-markov-models http://nips.djvuzone.org/djvu/nips06/0937.djvu 1993 conf/nips/1993 NIPS db/conf/nips/nips1993.html#BengioCH93

Yoshua Bengio Renato de Mori Marco Gori Learning the dynamic nature of speech with back-propagation for sequences. 375-385 1992 13 Pattern Recognit. Lett. 5 https://doi.org/10.1016/0167-8655(92)90035-X db/journals/prl/prl13.html#BengioMG92

Yoshua Bengio Renato de Mori Giovanni Flammia Ralf Kompe Phonetically motivated acoustic parameters for continuous speech recognition using artificial neural networks. 261-271 1992 11 Speech Commun. 2-3 https://doi.org/10.1016/0167-6393(92)90020-8 db/journals/speech/speech11.html#BengioMFK92

Yoshua Bengio Renato De Mori Giovanni Flammia Ralf Kompe Global optimization of a neural network-hidden Markov model hybrid. 252-259 1992 3 IEEE Trans. Neural Networks 2 https://doi.org/10.1109/72.125866 https://www.wikidata.org/entity/Q52427990 db/journals/tnn/tnn3.html#BengioMFK92

Yoshua Bengio Renato de Mori Giovanni Flammia Ralf Kompe Phonetically motivated acoustic parameters for continuous speech recognition using artificial neural networks. 1991 EUROSPEECH https://doi.org/10.21437/Eurospeech.1991-137 conf/interspeech/1991 db/conf/interspeech/eurospeech1991.html#BengioMFK91 551-554 Yoshua Bengio Renato de Mori Giovanni Flammia Ralf Kompe A comparative study on hybrid acoustic phonetic decoders based on artificial neural networks. 1991 EUROSPEECH https://doi.org/10.21437/Eurospeech.1991-241 conf/interspeech/1991 db/conf/interspeech/eurospeech1991.html#BengioMFK91a 1007-1010 Yoshua Bengio Renato de Mori Giovanni Flammia Ralf Kompe Neural Network - Gaussian Mixture Hybrid for Speech Recognition or Density Estimation. 175-182 http://papers.nips.cc/paper/521-neural-network-gaussian-mixture-hybrid-for-speech-recognition-or-density-estimation http://nips.djvuzone.org/djvu/nips04/0175.djvu 1991 conf/nips/1991 NIPS db/conf/nips/nips1991.html#BengioMFK91

Yoshua Bengio Yannick Pouliot Efficient recognition of immunoglobulin domains from amino acid sequences using a neural network. 319-324 1990 6 Comput. Appl. Biosci. 4 db/journals/bioinformatics/bioinformatics6.html#BengioP90 https://doi.org/10.1093/bioinformatics/6.4.319 https://www.wikidata.org/entity/Q52471151

Piero Cosi Yoshua Bengio Renato de Mori Phonetically-based multi-layered neural networks for vowel classification. 15-29 1990 9 Speech Commun. 1 https://doi.org/10.1016/0167-6393(90)90041-7 db/journals/speech/speech9.html#CosiBM90

Yoshua Bengio Régis Cardin Renato De Mori Yves Normandin A hybrid coder for hidden Markov models using a recurrent neural network. 537-540 1990 ICASSP https://doi.org/10.1109/ICASSP.1990.115768 conf/icassp/1990 db/conf/icassp/icassp1990.html#BengioCMN90

Yoshua Bengio Régis Cardin Renato de Mori Ettore Merlo Programmable Execution of Multi-Layered Networks for Automatic Speech Recognition. 195-199 1989 32 Commun. ACM 2 db/journals/cacm/cacm32.html#BengioCMM89 https://doi.org/10.1145/63342.63345

Yoshua Bengio Régis Cardin Piero Cosi Renato De Mori Speech coding with multi-layer networks. 164-167 1989 ICASSP https://doi.org/10.1109/ICASSP.1989.266389 conf/icassp/1989 db/conf/icassp/icassp1989.html#BengioCCM89 Renato de Mori Yoshua Bengio Piero Cosi On the Generalization Capability of Multi-Layered Networks in the Extraction of Speech Properties. 1531-1536 1989 conf/ijcai/1989 IJCAI db/conf/ijcai/ijcai89.html#MoriBC89 http://ijcai.org/Proceedings/89-2/Papers/108.pdf Yoshua Bengio Régis Cardin Piero Cosi Renato De Mori Ettore Merlo Speech coding with multilayer networks. 207-216 1989 NATO Neurocomputing https://doi.org/10.1007/978-3-642-76153-9_26 conf/nato/1989 db/conf/nato/neuro1989.html#BengioCCMM89 Yoshua Bengio Renato de Mori Régis Cardin Speaker Independent Speech Recognition with Neural Networks and Speech Knowledge. 218-225 http://papers.nips.cc/paper/273-speaker-independent-speech-recognition-with-neural-networks-and-speech-knowledge http://nips.djvuzone.org/djvu/nips02/0218.djvu 1989 conf/nips/1989 NIPS db/conf/nips/nips1989.html#BengioMC89 Yoshua Bengio Samy Bengio Yannick Pouliot Patrick Agin A Neural Network to Detect Homologies in Proteins. 423-430 http://papers.nips.cc/paper/214-a-neural-network-to-detect-homologies-in-proteins http://nips.djvuzone.org/djvu/nips02/0423.djvu 1989 conf/nips/1989 NIPS db/conf/nips/nips1989.html#BengioBPA89 Renato de Mori Yoshua Bengio Régis Cardin Data-Driven Execution of Multi-Layered Networks for Automatic Speech Recognition. 734-738 1988 conf/aaai/1988 AAAI db/conf/aaai/aaai88.html#MoriBC88 http://www.aaai.org/Library/AAAI/1988/aaai88-130.php Yoshua Bengio Renato De Mori Use of neural networks for the recognition of place of articulation. 103-106 1988 ICASSP https://doi.org/10.1109/ICASSP.1988.196522 conf/icassp/1988 db/conf/icassp/icassp1988.html#BengioM88 Yoshua Bengio Régis Cardin Renato de Mori Piero Cosi Use of Multi-Layered Networks for Coding Speech with Phonetic Features. 224-231 http://papers.nips.cc/paper/113-use-of-multi-layered-networks-for-coding-speech-with-phonetic-features http://nips.djvuzone.org/djvu/nips01/0224.djvu 1988 conf/nips/1988 NIPS db/conf/nips/nips1988.html#BengioCMC88 Onni Aarne Amirhossein Abaskohi Alessandro Abate Almas Abbasi Pieter Abbeel Hager Radi Abdelwahed Mohammed Abukalam Erman Acar Daron Acemoglu Ashwin Acharya Alexandre Adam Sumaya Nur Adan Bayo Adekanmbi Olubayo Adekanmbi Steven Adler Rishabh Agarwal Shubbam Agarwal Abhishek Aggarwal Patrick Agin Leandro Aguirre Ribwar Ahmadi Faruk Ahmed Mohamed Ahmed Mohamed Osama Ahmed Ossama Ahmed Zafarali Ahmed Seulmin Ahn Sungjin Ahn Sungsoo Ahn Kartik Ahuja Yan Ai Luca Maria Aiello Sumukh K. Aithal Olubunmi Ajala Benjamin Akera Tara Akhound-Sadegh Rami Al-Rfou Guillaume Alain Fahad Albalawi Samuel Albanie Hamed Alemohammad Gabriel Alfour Hananeh Aliee Rahaf Aljundi Amjad Almahairi Fahad Albalawi Noora AlMalek Noora AlMalek Sergio Alonso Benjamin Alsbury-Nealy Hannah Alsdurf Marwan Alserkal Safa Alver Nora Ammann Matthew Amodio Brandon Amos Ankesh Anand Vicki Anand Anima Anandkumar Markus Anderljung Jacob Andreas Maksym Andriushchenko Guillaume Androz Nicolas Angelard-GontierNicolas Gontier Christof Angermüller Andrew Anighoro Yashas Annadani Usman Anwar Md Rifat Arefin William Aris Martín Arjovsky Frances H. Arnold Sanjeev Arora Devansh Arpit Bibek Aryal Matthieu Arzel Dylan R. Ashley Amanda Askell Alán Aspuru-Guzik Layla El Asri Rim Assouel Dan Assouline Lazar Atanackovic Dimitris Athanasakis Adam Atkinson Kartik Audhkhasi Alex Auvolat Sasikanth Avancha Shahar Avin Guillaume Avrin Omar Mohamed Awad Rabiul Awal Jimmy Ba Reza Babanezhad 0001Reza Babanezhad Harikandeh Stephen A. BaccusStephen Baccus Philip Bachman Pierre-Luc Bacon Kartikeya Badola Doojin Baek Junyeob Baek Ricardo Baeza-Yates Dzmitry Bahdanau Bowen Baker Mauricio Baker Vidhisha Balachandran Narmada Balasooriya Mikita Balesni Dean W. Ball Nicolas Ballas George Balston Ciaran Bannon Truong Nhat Nguyen Bao Shimaa Baraka Aristide Baratin Rémi Bardenet Elias Bareinboim Fazl Barez Tim D. Barfoot Andrew Barkett Elizabeth Barnes Joslyn Barnhart Loïc Barrault Clark W. Barrett Brian R. Bartoldson Steven Basart Frédéric Bastien Subhadip Basu Robert A. Batey Dhruv Batra David Bau Stefan Bauer Atilim Günes Baydin Justin Bayer Philippe Beaudoin Christopher Beckham Gilles Bélanger Robert Belfer Haydn Belfield Mohamed Ishmael Belghazi Anatoly Belikov Eugene Belilovsky Michael Belinsky François Bélisle Marc G. Bellemare Antoine Bellemare-Pépin Imane Bello Alexander Belopolsky Cesar Beltran-RoyoCesar Beltran Tal Ben-Nun Loubna Benabbou Emmanuel Bengio Samy Bengio Mohamed Benhammadi Misha Benjamin Yahya Benslimane Joe Benton Karianne Bergen Arnaud Bergeron James Bergstra Anaïs Berkes Curtis P. Berlinguette Michael S. Bernstein Glen Berseth Tess Berthier Paul Bertin Quentin Bertrand Tamay Besiroglu Homanga Bharadhwaj Indrajit Bhattacharya Debjani Bhowmick Jiang Bian 0002 Tommaso Biancalani Antoine Biard Przemyslaw Biecek Eric J. Bigelow Olexa Bilaniuk Jonathan Binas Jonathan Birch Callum Birch-Sykes Yonatan Bisk Valentin Bisson Sanket Biswas Dionessa Biton Simon Blackburn Mathieu Blanchette Joseph Bloom Emma Bluemke Charles Blundell Kwabena Boahen 0001 Jeannette Bohg Thibault de Boissiere Noah Bolger Vijay Bolina Samuele Bolotta Rishi Bommasani Antonio Bonafonte Roberto Bondesan Martin Bonneville Antoine Bordes Jörg Bornschein Tom Bosc Joey BoseAvishek Joey Bose Léon Bottou Matt M. BotvinickMatthew M. Botvinick Nicolas Bouchard Geneviève Boucher Narjès Boufaden Fethi Bougares Ghait Boukachab Nicolas Boulanger-Lewandowski Mathieu Bourgey Malo Bourgon Oussama Boussif Léonard Boussioux Xavier Bouthillier Mark Brakel Philemon BrakelPhilémon Brakel Jan Markus BraunerJan Brauner Alexandre de Brébisson Xavier Bresson Thomas M. Breuel Olivier Breuleux Paul Bricman Datonye Briggs Garyk Brixi Oliver Brock Michael M. Bronstein Mirko Bronzi Yves V. Brun Miles Brundage Erik Brynjolfsson Zhiqi Bu David L. Buckeridge Ben BucknallBenjamin Bucknall Christopher J. C. Burges Nathan Burns Christian Busch Patrick Butlin Victor Ion ButoiVictor Butoi Ethan Caballero Tianle Cai Ani CalinescuAnisoara Calinescu Rosario Cammarota Siméon Campos Victor Campos 0001Víctor Campos 0001 Yuan Cao Alvaro Carbonero Régis Cardin Héloïse Cardinal Allison Carnegie Dmitri Carpov Julie Carreau Pierre Luc Carrier Federica Carugati André Carvalho André C. P. L. F. de CarvalhoAndré Carlos Ponce de Leon Ferreira de Carvalho Arantxa Casanova Stephen Casper Duncan Cass-Beggs Lluís Castrejón Pablo Samuel Castro Joyce Y. ChaiJoyce Chai Tapabrata Chakraborti Ayush Chakravarthy Jhelum Chakravorty Ahmad Chamseddine Alan Chan Payal Chandak Sarath Chandar Sharath ChandraSharath Chandra Raparthy Nicolas Chapados Olivier Chapelle Laurent Charlin Gabriel Chartrand Antoine Chassang Nick Chater Raja Chatila 0001 Niladri Chatterjee Pranam Chatterjee Shahana Chatterjee Jennifer T. Chayes Gerry Che Tong Che Gal Chechik Beidi Chen Can Chen 0005 Chang Chen Chen Chen 0075 Danqi Chen 0001 Jiahao Chen Jun-Kun Chen Mark Chen 0003 Michael Chen Minmin Chen Ricky T. Q. ChenRicky Tian Qi Chen Victor Chen Xiaoyin Chen Yong Chen 0016 Ziwei Chen Emily Cheng Yuwei Cheng Lynn Cherif Didier Chételat Jackie Chi Kit Cheung Maxime Chevalier-Boisvert Youssouf Chherawala Ansona Onyi Ching Dmitri B. Chklovskii Hyeonseo Cho Kyunghyun ChoKyungHyun Cho Heeyoul Choi Sanghyeok Choi Yejin Choi 0001 Jan Chorowski Ju-Chieh Chou Rumman Chowdhury Paul F. Christiano Lu Chuanying Junyoung Chung Anne Churchland Marco Ciccone Moustapha Cissé Stephen Clare Jack Clark Claudia Clopath Jocelyn Cloutier Jeff Clune Joseph Paul Cohen Michael K. Cohen Taco Cohen William W. Cohen Kai-Hendrik Cohrs Connor W. Coley Jonathan Collas Ronan Collobert Remi Tachet des Combes Axel Constant Emile Contal Adam Coogan Tim Cooijmans Alan Cooney A. Feder Cooper Julien Cornebise Samuele Cornell Gregory S. CorradoGreg Corrado Giulio Corsi Piero Cosi Gautier Cosne Rui Ponte Costa Marc-Alexandre Côté Myriam Côté Matthieu Courbariaux Mathieu Courcelles Aaron C. Courville Diane Coyle Miruna T. Cretu Felix Creutzig Guillem Cucurull Will CukierskiWilliam Cukierski Aron Culotta Miroslava Cuperlovic-Culf Xia Da Will Dabney Allan Dafoe Hanjun Dai Juntao Dai Rola Dali David Dalrymple David Dao Lan Dao Tri Dao Tariq Daouda Payel Das Rajiv Dattani Yann N. Dauphin Justin Dauwels Jean-Pierre David Tom Davidson Oscar Davis Axel Davy Nauman Dawalatabad Andreea Deac George Deane Etienne Dejoie Agnès Delaborde Olivier Delalleau Oscar Delaney Tommy Delarosbil Tristan Deleu Julien Demouth Li Deng 0001 Misha Denil Claire Dennis Ludovic Denoyer Isabelle Depatie Georgy Derevyanko Guillaume Desjardins Kevan Dettelbach Michel Deudon Coline Devin Lisa Di-Jorio Ousmane Dia James DiCarlo Aniket DidolkarAniket Rajiv Didolkar Sander Dieleman Thomas G. Dietterich James Diffenderfer Laurent Dinh David Dobre Yihe Dong Priya L. Donti Alexey Dosovitskiy Bonaventure F. P. DossouBonaventure Dossou Raymond Douglas Anca D. Dragan Felix Draxler Noemi Dreksler Konstantinos Drossos Alexandre Drouin Michal Drozdzal Wenyu Du Yuanqi Du Marie-Pierre Dubé Réjean Ducharme Mélanie DucoffeMelanie Ducoffe Charles Dugas Pierre Duhamel Guillaume Dumas Maude Dumont-Lagacé Vincent Dumoulin Timothy Q. DuongTim Q. Duong Francis Dutil Alexandre Duval David Duvenaud Krishnamurthy DvijothamKrishnamurthy Dj Dvijotham Vijay Prakash Dwivedi Lisa Dyer Nouha Dziri Berton Earnshaw Douglas Eck Peter Eckersley Benjamin L. Edelman Simon Eden-Walker Lilian Edwards Janet Egan Francisco Girbal EirasFrancisco Eiras Chanakya Ajit EkboteChanakya Ekbote Uchenna Ekwochi Alaaeldin El-Nouby Ran El-Yaniv Sabina Elkins Eric Elmoznino Amna Elmustafa Chris C. 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Joshi Shruti Joshi Adrien Juraver Lynn H. Kaack Sékou-Oumar Kaba Abdessamad El Kabid Ákos Kádár Younesse Kaddar Samuel Kadoury Leslie Pack Kaelbling Rebecca Kagan Daniel Kahneman Samira Ebrahimi Kahou Bhavya Kailkhura Adam Tauman Kalai Freddie KalaitzisAlfredo Kalaitzis John Kalaska Nal Kalchbrenner Akshay Kalkunte Ehsan Kamalloo Meindert Kamphuis David Kanaa Ryota Kanai Takafumi Kanamori Minki Kang Taegu Kang Mohan KankanhalliMohan S. Kankanhalli Juho Kannala Subhash Kantamneni Bhargav Kanuparthi Maxinder S. Kanwal Sayash Kapoor Amir-Hossein Karimi Atoosa Kasirzadeh Kyle Kastner Peter Van Katwyk Ziv Katzir Bharat Kaul Kenji Kawaguchi Yuki Kawamura Denis Kazakov Guolin Ke Nan Rosemary Ke Balázs Kégl Omolara A. Kehinde Jack D. Kendall Zachary Kenton Mary Kerema Giancarlo Kerg Taylor Kergan Hannah Kerner Kurt Keutzer Leila Khalatbari Elias B. KhalilElias Boutros Khalil Saif M. 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McDermid Robert McGibbon Conor McGlynn Sean McGregor Kevin McGrew Conor McGurk Sheila A. McIlraith Quinn McIntyre Aoife McLysaght Soroush Mehri Roland Memisevic Filippo Menczer Linyan Meng Cristian Meo Joanna Merckx Ettore Merlo Bart van MerrienboerBart van Merriënboer Thomas Mesnard Grégoire Mesnil Jean Meunier Marie-Jean Meurs Nicolas Miailhe Julian Michael Vincent Michalski Matthias Michel Tomás Mikolov Vladimir Mikulik Maxim Milakov Timo Milbich Lee E. Miller Nikola Milojevic-Dupont Stylianos I. MimilakisStylianos Ioannis Mimilakis Qiyang Min Yimeng Min Sören Mindermann Nanor Minoyan Santiago Miret Mehdi Mirza Siddhartha Mishra Sanchit Misra Melanie Mitchell Ioannis Mitliagkas Amartya Mitra Sarthak Mittal Marcin Moczulski Nick Moës Nicolas Moës Jama Hussein Mohamud Mehrdad Mokhtari Oleksii Molchanovskyi Simon Möller Arnab Kumar Mondal Mihir Mongia Martin Monperrus João Monteiro 0002 Andrea Monti Guido Montúfar Mohamed Morchid Yash More Greg Mori Renato De MoriRenato de Mori Frederic Morin Virginia Morini Max Morrison Paul Morrison Julia Morse Andreas Moshovos Sumeet Ramesh Motwani Abhinav Moudgil Richard Moulange Siba Moussa Michael C. MozerMichael Curtis MozerMichael Mozer Pawan Kumar Mudigonda Liad Mudrik Sai Mudumba S. Karthik Mukkavilli Gabriel Mukobi Eilif B. MullerEilif B. MüllerEilif Benjamin Müller Xavier Muller Jane Munga Aneri Muni Malcolm Murray Shikhar Murty Nusu Mwamanzi Hwidong Na Claude Nadeau Amir Najafi 0002 Akihiro Nakano Ramesh Nallapati Andrew Nam Ki-Hyuk NamKihyuk Nam Neel Nanda Arvind Narayanan Ramón Dineth Nartallo-Kaluarachchi Shravan Nayak Alexander Neitz Kirill Neklyudov Hadi Nekoei Alondra Nelson Mona Nemer Clara Neppel Dava J. Newman Jessica Newman Andrew Y. Ng Kwan Yee Ng Richard Ngo Alexandre Nguyen Anh Totti NguyenAnh Nguyen 0002 Bailey Trang Nguyen Eric Nguyen Khuong Nguyen Thien Huu Nguyen Andrei Cristian Nica Armand Mihai Nicolicioiu Jian-Yun Nie Milos Nikolic 0002 Yuting Ning Mizu Nishikawa-Toomey Aleksandr Nisnevich Mark Nitzberg Sufeng Niu Pierre-André Noël Samyeul Noh Craig R. Nohl Fabrice Normandin Yves Normandin Michael Noseworthy Pascal Tikeng Notsawo Jr.Pascal Notsawo Michael Noukhovitch Padideh Nouri Aniruddha Nrusimha Besmira Nushi Johan S. Obando-Ceron Adam M. ObermanAdam Oberman Kyle O'Brien Robert Obryk Karry Ocean Augustus Odena Timothy J. O'Donnell Alice Oh Seong Joon Oh Viktor Ohanesian Cullen O'Keefe Chinasa T. Okolo Nuria Oliver Yann Ollivier Bruno A. Olshausen Jay OlsonJay A. Olson Bence OlveczkyBence Ölveczky Björn Ommer Steve Omohundro Maurizio Omologo Olawale Onabola C.-H. Luke OngLuke Ong Charles C. Onu Aäron van den Oord Randall C. O'Reilly Boris N. Oreshkin Alberto Orlandi Dave Orr Alejandro Ortega Anthony Ortiz Satya Ortiz-GagneSatya Ortiz-Gagné Joachim Ott Arthur Ouaknine Marie Ouimet Sherjil Ozair M. Tamer Özsu Lorenzo Pacchiardi Jakub Pachocki Jean-François Paiement Brooks Paige Chris Painter Christopher Joseph PalChristopher J. PalChristopher PalChris Pal Daniel Paleka Alessandro Palmas Roger Palou Alexander Pan Ling Pan Rébecca Panes Alexander Panfilov Changsong Pang Siba Smarak Panigrahi Michiel van de Panne Ross D. Pantone Henry Papadatos Titouan Parcollet Devi Parikh Jinkyoo Park John Park Simon Park 0002 Tanel Pärnamaa Rom N. Parnichkun Ali Parviz Razvan Pascanu Santiago Pascual Patricia Paskov Akshay Patel Aman Patel Rahul Patel 0001 Yashaswi Pathak Liam Paull Vincent Pavero Marco Pavone 0001 Marco Pedersoli Fabian Pedregosa Dino Pedreschi Hengzhi Pei Pierre Peigné Kellin Pelrine Jian Peng 0001 Xue Bin Peng Zhangzhi Peng Alex Pentland Gabriel Pereyra Ethan Perez Claude Perreault Megan A. K. Peters James Petrie Aleksandar Petrov John Peurifoy Mohammad Pezeshki Raquel Pezoa Soham R. PhadeSoham Phade Hieu Pham 0001 Long Phan Mary Phuong Pablo Piantanida Alexandre Piché Michael Pieper Steven Pigeon Dan Pilat Konstantin Pilz Joelle Pineau Pedro O. Pinheiro Nicolas Pinto Valerie Pisano Matteo Pistillo Peter Plantinga John C. Platt Audrey Plonk Lena Podina Michael Poli Jules Pondard Koen Ponse Edoardo Maria Ponti Marius Popescu Dan Popovici José Ramón López Portillo Ingmar Posner Joseph Potochny Alexandre Pouget Jean Pouget-Abadie Yannick Pouliot Doina Precup Rémi Le Priol Daniel Privitera Antoine Prouvost Benjamin Prud'homme Carina Prunkl Yuan Pu 0002 Abhay Puri Peng Qi 0003 Tao Qin 0001 Meng Qu Xingwei Qu Haoran Que Damien Querlioz Zachary Quinn Reihaneh Rabbany Clayton M. Rabideau Evan Racah Dylan R. Radovic Roxana Radu Colin Raffel Sunand Raghupathi Nasim Rahaman Mazin G. RahimMazin Rahim Iyad Rahwan Tapani Raiko Sai RajeswarSai Rajeswar Mudumba Inioluwa Deborah Raji Nitarshan Rajkumar Bhuvana Ramabhadran Prajit Ramachandran Chetan Ramaiah Ketan Ramakrishnan Gopal Ramchurn Juan Ramirez Ali Ramlaoui Ladislav Rampásek Bharath Ramsundar Javier Rando Mansi Rankawat Marc'Aurelio Ranzato Martijn Rasser Elena Rastorgueva Lev-Arie Ratinov Siamak Ravanbakhsh Mirco Ravanelli Pradeep Ravikumar Balaraman Ravindran Jean-Philippe Raymond Christopher Ré Gabriel Recchia Jarrid Rector-Brooks Siva Reddy Cristian Regep Danyal Rehman Andrei Rekesh Roman Remme Mengye Ren Daniel Renshaw Daniel Reti Anka Reuel Alexia Reynaud Danilo Jimenez RezendeDanilo J. Rezende Theresa-Marie Rhyne Blake A. Richards Jesse Richardson Oliver RichardsonOliver E. Richardson Gerardo Richarte Mats Leon Richter Salah Rifai Irina Rish Shalaleh Rismani Raquel Pezoa Rivera François Rivest Hammam Riza Jacques Robert Stephane Robert Charles Roberts Matthew Rocklin Juan A. Rodríguez Pau RodríguezPau Rodríguez López Fabien Roger Celine Roget David Rolnick Junfel Vincent Romano Lukasz Romaszko Adriana Romero David W. Romero Marc-Antoine Rondeau Andrew Slavin Ross Negar Rostamzadeh Daniel Roth 0005 Karsten Roth Markus Roth Jonas Rothfuss Aku Rouhe Jean-Franois Rousseau Marc-Andre Rousseau Arnaud Roussel Nicolas Le Roux Luke Rowe Mark Rowland 0001 Nicholas Roy J. B. Rubinovitz Alexander Rubinstein 0002 Atri Rudra Frank Rudzicz Edward Ruediger Crystal Rugege Stuart Russell 0001 Jacob L. RussinJake Russin Théo Ryffel Suraj M. S João Sacramento Dorsa Sadigh Peter J. SadowskiPeter Sadowski Amir Saffari Chitwan Saharia Hossein Sahraei Xavier Saint-Mleux Ruslan Salakhutdinov Olawale Salaudeen Muhammad A. Salisu John Salvatier Mandana Samiei Nayat Sánchez-Pi Marcello Sanguineti Chinnadhurai Sankar Baskaran Sankaran Kris Sankaran Sriram Sankaranarayanan 0002 Cícero Nogueira dos Santos João Felipe Santos Amartya Sanyal Abulhair Saparov Marc Sarfati Girish Sastry Boris Sattarov Ausra Saudargiene François Savard Cristina Savin Yoshihide Sawada Will Sawin Robert SawkoRobert Manson-Sawko Joshua Saxe Nikita Saxena Gabriele Scalia Benjamin Scellier Marietje Schaake Stefan Schaal Joachim Schaeffer Rylan Schaeffer Paul Scharre Nino Scherrer Rossano Schifanella Jan Schlüter Eric Schmidt Victor Schmidt Torsten Scholak Bernhard Schölkopf Maarten Scholl Marc Schönwiesner Doris Alexandra Schuetz Gerald Schuller John Schulman Hannes Schulz Dale Schuurmans Patrick Schwab Gabriel Schwartz Holger Schwenk Sarah Schwettmann Eric Schwitzgebel Luca Scimeca Keith Scott Kuan Chua Seah Dragos Secrieru Prem Seetharaman Elizabeth Seger Charbel-Raphaël Ségerie Marwin H. S. Segler Harm van Seijen Maximilian Seitzer Terrence J. Sejnowski Jean Michel D. Sellier Marcin Sendera Jean-Sébastien Senecal Walter Senn Ciarán Seoighe Haebin Seong Iulian SerbanIulian Vlad Serban Dmitriy Serdyuk Pierre Sermanet Joan Serrà Sanjit A. Seshia Jaime Sevilla Fei Sha Samira Shabanian Amar Shah 0001 Rohin Shah Vedant Shah Mahsa Shakeri Mehran Shakerinava Shai Shalev-Shwartz Ali Shahin Shamsabadi Murray Shanahan Sara Shanian Abhinav Sharma Arjun Sharma Deepak Sharma Divya Sharma Shikhar Sharma 0001 Yash Sharma 0001 John Shawe-Taylor Muhammad Shayan Alex Shee Jerry Sheehan Matt Sheehan Haroon Sheikh Beiyi Shen Qianli Shen Yichen Shen 0001 Yikang Shen Tenzing Chogyal Sherpa Evan D. SherwinEvan David Sherwin Dmytro Shevchuk Toby Shevlane Chence Shi Jiajun Shi Yunfeng Shi Homin Shin Jinwoo Shin Buck Shlegeris Sarah Shoker Finu Shresta Tianmin Shu Ilia Shumailov Dennis L. Shung Guillaume Sicard Divya Siddarth Md Mahfuzur Rahman Siddiquee Saad Siddiqui Wan Lee Sie Clarence Simard Patrice Y. Simard Lena Simine Étienne Simon Jonathan Simon Eero P. Simoncelli Jakob Grue Simonsen Becks Simpson Scott Singer Yoram Singer Amanpreet Singh Soumye Singhal Aradhana Sinha Samarth Sinha Chng Eng SiongEng Siong Chng Joar Skalse Theodora Skeadas Marta Skreta Almer van der SlootAlmer M. van der Sloot Agnieszka Slowik Andrew Smith John R. Smith Ariella Smofsky Duncan Snidal Josh Bleecher Snyder Richard Socher Lisa Soder Shagun Sodhani Jascha Sohl-Dickstein Irene Solaiman Arno Solin Marin Soljacic Sara A. Solla Jiwoo Son Dawn Song Inchul Song Kaitao Song Le Song Yangqiu Song Abhishek Soni Kritika Sony Alessandro Sordoni Jose SoteloJose M. R. Sotelo Alavaro Soto Alvaro Soto Martín Soto Jean-Paul Soucy Daniel Soudry Oliver Sourbut Tobin South Sigurd Spieckermann Sean Spinney Sunil Srinivasa Anirudh Srinivasan Pierre-Luc St-Charles Daniel St-Cyr François St-Hilaire Max Stauffer Eric Steinberger Anush Stepanyan Charlotte Stix Amos J. Storkey Conrad Stosz Andrew Strait DJ StrouseDaniel Strouse Emma Strubell Brooke Struck Jiang Su Yu Su 0001 Cem Subakan Jithendaraa Subramanian Sandeep Subramanian S. Ramana Subramanyam Arun SuggalaArun Sai Suggala Dendi Suhubdy Gaurav S. Sukhatme Sainbayar Sukhbaatar Bilun Sun Chen Sun 0007 Huan Sun 0001 Jimeng Sun 0001 Sun Sun Sundar Sundareswaran Srinivas Sunkara Akshay Kalkunte Suresh David Sussillo Masahiro Suzuki 0001 Taiji Suzuki Pawel Swietojanski Jakub Sygnowski Tristan Sylvain Christian Szegedy Vincent Taboga Saeid Asgari Taghanaki Nima Tajbakhsh Ichiro Takeuchi Kartik Talamadupula Jaan Tallinn Cheston Tan Shawn Tan Xu Tan 0003 An Tang Eileen L. Tang Jian Tang 0005 Wai Hoh Tang Yichuan Tang Jérémie Tanguay Perouz Taslakian Graham W. Taylor Jake P. Taylor-King Alain B. TchagangAlain Tchagang Paul D. Teal Max Tegmark Alejandro Tejada-Lapuerta Joshua B. Tenenbaum Damien Teney Jiaye Teng Mélisande Teng Wei Zhen Teoh Gerald Tesauro Igor V. Tetko Enoch Tetteh Dave ThalerDavid Thaler Fabian J. Theis Denis Thérien Félix Therrien Pierre Thibault Eric Thibodeau-LauferEric Laufer Luca A. Thiede Philipp Thölke Armin W. Thomas Karam M. J. Thomas Samuel Thomas 0001 Valentin Thomas Jesse Thomason Jessica A. F. Thompson Lara Thurnherr Lee Tiedrich Aman Timalsina Dong Ting Mo Tiwari William-Chandra Tjhi Andreas S. Tolias Vikrant Singh Tomar Helen Toner Mariya Toneva Alexander Tong 0001 Atousa Torabi Philip Torr 0001Philip H. S. Torr Prudencio Tossou Ahmed Touati Marc Toussaint Maximilian Puelma Touzel Ryan Tovcimak Chiheb Trabelsi Robert TragerRobert F. Trager Florian Tramèr Andrew Trask Frederik Träuble Bri Treece Adam Trischler Jan Trmal Assya Trofimov Andrew Trotman Cristian Trout Doris Tsao Brian Tse Christos Tsirigotis Gijs van Tulder Frederick Tung Gökhan Tür Joseph P. Turian Miles Turpin Mike TyersMichael Tyers Shashanka Ubaru Peter O. Ubuane Sebastian Urban Saverio Vadacchino Puya VahabiHossein Vahabi Louis Vaillancourt Donna Vakalis Nicholas Valiante Michal Valko Rufin VanRullen Vladimir Vapnik Vahe Vardanyan Gaël Varoquaux David Vázquez 0001 Andrea Vedaldi Lucia Velasco Diego A. Velázquez Petar Velickovic Siddarth Venkatraman David Venuto Vikas Verma Robert M. Vernon Gaëtan Vignoud Priyesh Vijayan Alessandro E. P. Villa Pascal Vincent Tuomas Virtanen Francesco Visin Isak Edo Vivancos Joseph D. Viviano Vikram Voleti Alexandra Volokhova Eugene Vorontsov Harm de Vries Dung Do Vu Danilo Vucetic Dominik Wagner 0002 Lauren Wagner Anna Waldman-Brown Don Wallace Bo Wang Chao Wang Hanchen Wang 0002 Huan Wang 0016 Jasmine Wang Junhao Wang Peidong Wang Renhao Wang Suyuchen Wang Tong Wang 0012 Weixu Wang Wujie Wang Xiaojie Wang 0006 Yezhen Wang Yixin Wang Yongqiang Wang 0005 Zihan Wang Zixuan Wang David Warde-Farley Dustin J. Webb Boyi Wei Haoran Wei Joost van de Weijer 0001 Gabriel Weil Kilian Q. Weinberger Martin Weiss Adrian Weller Max Welling Chuan Wen Junfeng Wen Zixin Wen Jason Weston Nicole Wheeler Martha White Jess Whittlestone Vanessa Wilfred Lucas Willems John Willes Daniel Willett Andrew Robert WilliamsAndrew Williams 0008 Christopher K. I. Williams David Williams-King Peter Wills Matthew Willson Jeannette M. Wing Christian Schröder de Witt Pawel Wlodarczyk-Pruszynski Guy Wolf Steffen Wolf 0001 Denise Wong Michael Wornow Phillip Wozny Stephen J. Wright 0001 Bohong Wu Donghang Wu Yonghui Wu 0001 Yuhai Wu Yuhuai Wu Zhenzhou Wu Tobias Würfl Manuel WüthrichManuel Wuthrich Louis-Pascal A. C. Xhonneux Kevin Xia 0001 Bing Xiang Tim Z. Xiao Cihang Xie Guosen XieGuo-Sen Xie Jingjing Xie Yang Xie Chen Xing He Xing Caiming Xiong Bing Xu Hannan Xu Kelvin Xu Minkai Xu Pengfei Xu 0013 Rongwu Xu Wei Xu Jia Xue Lan Xue Lijun Xue Zichao Yan Diji Yang Jason Yang Jian Yang 0037 Jingying Yang Wannan Yang Zhilin Yang 0001 Georgios N. Yannakakis Andrew Yao Kaisheng Yao Li Yao Fatos T. Yarman-Vural Wei Ye 0004 Sung-Lin Yeh Fan Yin Fei Yin ByungIn Yoo Sanghyun Yoo Jaesik Yoon Jason Yosinski Dingli Yu Dong Yu 0001 Kai Yu Lei Yu Mo Yu Yun William Yu Tianle Yuan Xingdi Yuan Yang Yuan 0010 Ye Yuan 0017 Shi Yi Yue Taeyoung Yun Andrii Zadaianchuk Anthony Zador Hongyu Zang Wojciech Zaremba Giulia Zarpellon Richard S. Zemel Yi Zeng 0005 Amy Zhang 0001 Ce Zhang 0001 Chuang Zhang Dinghuai Zhang Frank Zhang Ge Zhang 0009 Han Zhang 0010 Heidi C. ZhangHeidi Chenyu Zhang HongJiang Zhang Hongyang Zhang 0001 Linfeng Zhang 0002 Mengmi Zhang Pengchuan Zhang Ruixiang Zhang Saizheng Zhang Shanghang Zhang Shirui Zhang Shuyuan Zhang Tianyi Zhang Tianyu Zhang Xi Zhang Xu-Yao Zhang Ya-Qin Zhang Yan Zhang 0067 Yan-Ming Zhang 0001 Yang Zhang Yanlei Zhang Yanning Zhang 0001Yan-Ning Zhang 0001 Yi Zhang 0001 Ying Zhang 0033 Yue Zhang 0004 Yunkai Zhang 0002 Zhaowei Zhang 0001 Zhehao Zhang Zijun Zhang Ding Zhao Enduo Zhao Kevin Zhao Mingde Zhao 0001Harry Zhao 0001 Sicheng Zhao Qinqing Zheng Selene Zheng Stephan Zheng Tan Zhi-Xuan Jianyuan Zhong Ruiqi Zhong Bowen Zhou 0002 Mingyang ZhouMing-Yang Zhou Sharon Zhou Wei Zhou Xun Zhou Yingbo Zhou 0002 Zongwei Zhou He Zhu Jiannan Zhu Liming Zhu Mike He Zhu Rui-Jie Zhu 0003 Xiao Xiang Zhu 0001Xiaoxiang Zhu 0001 Dorde ZikelicDjordje Zikelic Noa Zilberman Roland S. Zimmermann Malgorzata J. Zimon Marinka Zitnik Henry de Zoete Konrad Zolna Andy Zou Yingtian Zou Jeremie Zumer Geoffrey Zweig