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Ruiqi Gao
@RuiqiGao
Research scientist @GoogleDeepmind | Mom of Mochi.
San Francisco
Joined June 2019
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    Ruiqi Gao
    @RuiqiGao
    May 20
    Excited to share Gemini Omni, a project we’ve been working on for the past few months! It marks an important step of our effort toward integrating world knowledge, interactivity, and multimodality into a single, powerful model. 🧵 highlights a few of my favorite capabilities.
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    Google DeepMind
    @GoogleDeepMind
    May 19
    We’re dropping Gemini Omni: our first step towards a model that can create anything from anything - starting with video. It combines Gemini’s intelligence with our generative media systems - representing a leap forward in world understanding, multimodality, and editing 🧵
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    Ruiqi Gao
    @RuiqiGao
    Dec 2, 2024
    A common question nowadays: Which is better, diffusion or flow matching? 🤔 Our answer: They’re two sides of the same coin. We wrote a blog post to show how diffusion models and Gaussian flow matching are equivalent. That’s great: It means you can use them interchangeably.
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    Ruiqi Gao
    @RuiqiGao
    Jun 12, 2021
    Just finish my Ph.D. thesis filing! I am thrilled to announce that I’ll join Google Brain @GoogleAI as a research scientist and work with @dpkingma soon I am quite excited about it!
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    Ruiqi Gao
    @RuiqiGao
    May 17, 2024
    🌟 Create anything in 3D! 🌟 Introducing CAT3D: a new method that generates high-fidelity 3D scenes from any number of real or generated images in one minute, powered by multi-view diffusion models. w/ lovely coauthors @holynski_, @poolio and an amazing team!
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    Ruiqi Gao
    @RuiqiGao
    Jul 5, 2025
    Scalable EBM training?? Can’t believe I can see this keyword in my life 😭. This is amazing! On a second read of the algorithm, looks like it is combining EBM with a training algorithm closer to AR. But still, leveraging EBM as a way of latent thinking is such a cool idea 💗
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    AK
    @_akhaliq
    Jul 4, 2025
    Energy-Based Transformers are Scalable Learners and Thinkers
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    Ruiqi Gao
    @RuiqiGao
    Oct 5, 2022
    🥳Thrilled to share Imagen Video: our new text-to-video diffusion model generating 1280x768 24fps HD videos! #ImagenVideo Website: imagen.research.google/video/
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    Jonathan Ho
    @hojonathanho
    Oct 5, 2022
    Excited to announce Imagen Video, our new text-conditioned video diffusion model that generates 1280x768 24fps HD videos! #ImagenVideo imagen.research.google/video/ Work w/ @wchan212 @Chitwan_Saharia @jaywhang_ @RuiqiGao @agritsenko @dpkingma @poolio @mo_norouzi @fleet_dj @TimSalimans
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    Ruiqi Gao
    @RuiqiGao
    Jun 9, 2022
    Impressed by the amazing progress of diffusion models? 📢 Check our #CVPR2022 tutorial on #diffusion_models next Sunday morning! w/ @karsten_kreis & @ArashVahdat Agenda: …2-tutorial-diffusion-models.github.io An #Imagen (awesome diffusion models) preview of what to expect 😉:
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    Ruiqi Gao
    @RuiqiGao
    Dec 11, 2023
    🔥Latent Diffusion Models Tutorial🔥 #NeurIPS2023 @karsten_kreis, @ArashVahdat and I will present the tutorial on latent diffusion models tomorrow! Save the location & time, and excited to see you all there! Tomorrow, Monday, 9:45am-12:15pm, Hall E2.
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    Latent Diffusion Models: Is the Generative AI Revolution Happening in Latent Space?
    From neurips2023-ldm-tutorial.github.io
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    Ruiqi Gao
    @RuiqiGao
    Mar 3, 2023
    📢 📢 We are looking for a strongly motivated student researcher for this summer in my team (@GoogleAI brain), working on diffusion models, EBMs and related topics! Email me with your CV or website if you’re interested: [email protected]
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    Ruiqi Gao
    @RuiqiGao
    Dec 7, 2023
    Looking for diffusion model advancements at #NeurIPS2023? Come to check our oral work "Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation" w/ @dpkingma. New theoretical understanding, SOTA empirical results, and more! Arxiv: arxiv.org/abs/2303.00848
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    Ruiqi Gao
    @RuiqiGao
    Jun 17, 2022
    The preliminary slides of our #CVPR2022 tutorial on #diffusion_models are available on our website: …2-tutorial-diffusion-models.github.io Looking forward to seeing you, w/ @karsten_kreis & @ArashVahdat, at 8:30 CDT on Sunday in New Orleans or virtually!
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    Ruiqi Gao
    @RuiqiGao
    Dec 16, 2020
    Pleased to share our new work on learning energy-based models: arxiv.org/abs/2012.08125 By maximizing recovery likelihoods on increasingly noisy data, the MCMC becomes more tractable. We achieve (1)high quality samples (2)stable long-run chains (3)estimated likelihoods. (1/n)
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    Ruiqi Gao
    @RuiqiGao
    Jul 27, 2022
    🥳Check the re-recording of our tutorial on denoising diffusion models on YouTube: youtube.com/watch?v=cS6JQp… The tutorial was originally presented at #CVPR2022 with @karsten_kreis @ArashVahdat. Slides and additional info: …2-tutorial-diffusion-models.github.io Hope you enjoy the learning!!😃
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    Ruiqi Gao
    @RuiqiGao
    Apr 24, 2025
    I'm in Singapore for #ICLR25 for the next few days. Looking forward to catching up with old and new friends! Will present the following two works. Come say hi :)
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