Nenad Tomasev (@weballergy) / X

Nenad Tomasev

9,361 posts

Nenad Tomasev

@weballergy

Senior staff research scientist at DeepMind. Opinions are my own. Re-tweets and favorites not to be considered as endorsements.

London, England

linkedin.com/in/nenadtomasev

Joined May 2009

Pinned
Nenad Tomasev
@weballergy
Jun 24
Excited to share this podcast - where we got to talk about the current trajectory of AI agent research, and open challenges in enabling safe and reliable multi-agent coordination at scale.
Google DeepMind
@GoogleDeepMind
Jun 24
What happens when millions of AI agents start negotiating, transacting, and delegating to one another? @weballergy joined our podcast with @FryRsquared to explore the rise of agentic economies – and how we can diversify agent decision-making to avoid AI groupthink. Timecodes:
00:00
2.8K
Nenad Tomasev
@weballergy
Nov 18, 2021
Deep learning models are often perceived as black boxes. In our most recent work, Acquisition of Chess Knowledge in AlphaZero arxiv.org/abs/2111.09259 , we try to unpack how AlphaZero represents knowledge, where it resides within the network, and when it is acquired in training
Nenad Tomasev
@weballergy
Oct 28, 2024
I'm happy to share that I got promoted to the role of Senior Staff Research Scientist here at Google DeepMind. It's been an incredibly exciting year, though the truly exciting work, as always, lies ahead.
31K
Nenad Tomasev
@weballergy
Dec 5, 2024
I'm excited to share a new paper: "Mastering Board Games by External and Internal Planning with Language Models" storage.googleapis.com/deepmind-media… (also soon to be up on Arxiv, once it's been processed there)
152K
Nenad Tomasev
@weballergy
Jun 1, 2017
'Adversarial Generation of Natural Language': producing realistic sentences arxiv.org/abs/1705.10929 #deeplearning #machinelearning #NLP #AI
Nenad Tomasev
@weballergy
Aug 3, 2017
DeepMoji: Predicting emojis for classifying text sentiment/emotion/sarcasm arxiv.org/abs/1708.00524 #NLP #deeplearning #AI
Nenad Tomasev
@weballergy
Jun 6, 2018
'Relational recurrent neural networks': performing complex relational reasoning in memory networks. arxiv.org/abs/1806.01822 #DeepLearning #AI #MachineLearning
Nenad Tomasev
@weballergy
May 31, 2018
"To Trust Or Not To Trust A Classifier" by Google Research arxiv.org/abs/1805.11783 : beyond simple confidence scores. The ability to auto-detect bad predictions in critical for safe deployments in sensitive applications. #MachineLearning #DataScience #AI
arxiv.org
To Trust Or Not To Trust A Classifier
Knowing when a classifier's prediction can be trusted is useful in many applications and critical for safely using AI. While the bulk of the effort in machine learning research has been towards...
Nenad Tomasev
@weballergy
Jul 31, 2019
Proud to share the results of our work on applying deep learning for early prediction of future acute kidney injury from electronic health records in our collaboration with the US Department of Veterans Affairs - just published in Nature: nature.com/articles/s4158…
Nenad Tomasev
@weballergy
Sep 4, 2017
'Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning' arxiv.org/abs/1709.00103 #MachineLearning
Nenad Tomasev
@weballergy
Jun 14, 2018
'A Probabilistic U-net for Segmentation of Ambiguous Images': a cool new paper by my colleagues at DeepMind on how to deal with uncertainty in segmentation models. arxiv.org/abs/1806.05034 #DeepLearning #MachineLearning
Nenad Tomasev
@weballergy
Apr 6, 2018
'Hyperbolic Entailment Cones for Learning Hierarchical Embeddings': viewing hierarchical relations as partial orders based on a family of nested geodesically convex cones arxiv.org/abs/1804.01882 #AI #MachineLearning
Nenad Tomasev
@weballergy
Oct 4, 2017
'Dilated Convolutions for Modeling Long-Distance Genomic Dependencies' arxiv.org/abs/1710.01278 #DeepLearning #Genomics #AI
Nenad Tomasev
@weballergy
Jul 24, 2017
'A Distributional Perspective on Reinforcement Learning': modeling the full distribution of return. arxiv.org/abs/1707.06887 #machinelearning