Research
Publications
Latest research news
Discover our latest AI breakthroughs and updates from the lab
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Research
AlphaProteo generates novel proteins for biology and health research
New AI system designs proteins that successfully bind to target molecules, with potential for advancing drug design, disease understanding and more.
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Research
FermiNet: Quantum physics and chemistry from first principles
Using deep learning to solve fundamental problems in computational quantum chemistry and explore how matter interacts with light
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Research
AI achieves silver-medal standard solving International Mathematical Olympiad problems
Breakthrough models AlphaProof and AlphaGeometry 2 solve advanced reasoning problems in mathematics
Publications
Explore a selection of our recent research on some of the most complex and interesting challenges in AI.
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- Date
- Title
- Learning to Learn Faster from Human Feedback with Language Model Predictive Control
- Authors
- Ken Caluwaerts, Ben Jyenis, Jasmine Hsu, andyzeng , Wenhao Yu, Nik Stewart, Jacky Liang, Fei Xia, Peng Xu, Jie Tan, ichter , Erik Frey, Carolina Parada, Dorsa Sadigh, Tingnan Zhang, Ted Xiao, Zhuo Xu, Nikhil Joshi, Kuang-Huei Lee, Chase Kew, Ken Oslund, Sean Kirmani, Dushyant Rao, quanhovuong , Keerthana Gopalakrishnan, Marissa Giustina, Jonathan Tompson, Assaf Hurwitz Michaely, Baruch Tabanpour, Maria Bauza, Edward Lee, Maria Attarian, Leonard Hasenclever, Alex Bewley, Jan Humplik, Nimrod Gileadi, Joss Moore, Leila Takayama, allenren , Adil Dostmohamed, Chuyuan Kelly Fu, Ayzaan Wahid, Matt Bennice, Vincent Zhuang, Nicolas Heess, Izhak Shafran, Vincent Vanhoucke, Maja Mataric, Montse Gonzalez Arenas, Ying Xu, Kanishka Rao
- Venue
- arXiv
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- Date
- Title
- A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts
- Authors
- Kuang-Huei Lee, Xinyun Chen, Hiroki Furuta, John Canny, Ian Fischer
- Venue
- arXiv
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- Date
- Title
- Experts Don't Cheat: Learning What You Don't Know by Predicting Pairs
- Authors
- Daniel D. Johnson, Daniel Tarlow, David Duvenaud, Chris J. Maddison
- Venue
- arXiv
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- Date
- Title
- Premise Order Matters in Reasoning with Large Language Models
- Authors
- Xinyun Chen, Ryan A. Chi, Xuezhi Wang, Denny Zhou
- Venue
- arXiv
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- Date
- Title
- A Distributional Analogue to the Successor Representation
- Authors
- Harley Wiltzer*, Jesse Farebrother, Arthur Gretton, Yunhao Tang, Andre Barreto, Will Dabney, Marc Bellemare*, Mark Rowland
- Venue
- arXiv
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- Date
- Title
- PIVOT: Iterative Visual Prompting Elicits Actionable Knowledge for VLMs
- Authors
- Soroush Nasiriany*, Fei Xia*, Wenhao Yu, Ted Xiao*, Jacky Liang, Ishita Dasgupta, Annie Xie, Danny Driess , Ayzaan Wahid, Zhuo Xu, Quan Vuong, Tingnan Zhang, Tsang-Wei Edward Lee, Kuang-Huei Lee , Peng Xu, Sean Kirmani, Yuke Zhu, Andy Zeng, Karol Hausman, Nicolas Heess, Chelsea Finn, Sergey Levine, Brian Ichter*
- Venue
- arXiv
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- Date
- Title
- Near-Minimax-Optimal Distributional RL with a Generative Model
- Authors
- Mark Rowland, Kevin Li, Remi Munos, Clare Lyle, Yunhao Tang, Will Dabney
- Venue
- arXiv
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- Date
- Title
- Chain-of-Table: Evolves Tables in the LLM Reasoning Chain for Table Understanding
- Authors
- Zilong Wang*, Chen-Yu Lee, chunliang , Hao Zhang, Julian Eisenschlos, Lesly Miculicich, Tomas Pfister, Vincent Perot, Yasuhisa Fujii, Zifeng Wang, Jingbo Shang*
- Venue
- ICLR 2024
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- Date
- Title
- Prior-Dependent Allocations for Bayesian Fixed-Budget Best-Arm Identification in Structured Bandits
- Authors
- Nicolas Nguyen, Imad Aouali, András György, Claire Vernade
- Venue
- arXiv
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- Date
- Title
- Memory Consolidation Enables Long-Context Video Understanding
- Authors
- Ivana Balazevic, Jimmy Shi, Nelly Papalampidi, Rahma Chaabouni, Skanda Koppula, Olivier Henaff
- Venue
- arXiv
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- Date
- Title
- States as Strings as Strategies: Steering Language Models with Game-Theoretic Solvers
- Authors
- Ian Gemp, Yoram Bachrach, Marc Lanctot, Roma Patel, Vibhavari Dasagi, Luke Marris, Georgios Piliouras, Siqi Liu, Karl Tuyls
- Venue
- arXiv
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- Date
- Title
- Large Language Models Self-Discover Reasoning Structures
- Authors
- Pei Zhou*, Jay Pujara*, Xiang Ren*, Swaroop Mishra, Steven Zheng, Denny Zhou, Heng-Tze Cheng, Quoc Le, Ed Chi, Xinyun Chen
- Venue
- arXiv
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- Date
- Title
- Transfer Learning for Bayesian Optimization on Heterogeneous Search Spaces
- Authors
- Zhou Fan, Xinran Han, Zi Wang
- Venue
- Transactions on Machine Learning Research (TMLR)
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- Date
- Title
- Fractal Patterns May Unravel the Intelligence in Next-Token Prediction
- Authors
- Ibrahim Alabdulmohsin, Vinh Q. Tran, Mostafa Dehghani
- Venue
- arXiv
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- Date
- Title
- Robust agents learn causal world models
- Authors
- Jonathan Richens, Tom Everitt
- Venue
- ICLR 2024
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- Date
- Title
- Exploration at Scale using Epistemic Neural Networks
- Authors
- Vikranth Dwaracherla, Seyed Mohammad Asghari, Botao Hao, Benjamin Van Roy
- Venue
- arXiv
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- Date
- Title
- Learning Universal Predictors
- Authors
- Jordi Grau-Moya *, Tim Genewein *, Marcus Hutter *, Laurent Orseau *, Grégoire Déletang, Elliot Catt, Anian Ruoss, Li Kevin Wenliang, Christopher Mattern, Matthew Aitchison and Joel Veness
- Venue
- arXiv
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- Date
- Title
- Neural Population Learning beyond Symmetric Zero-Sum Games
- Authors
- Siqi Liu, Luke Marris, Marc Lanctot, Georgios Piliouras, Joel Leibo, Nicolas Heess
- Venue
- AAMAS 2024
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- Date
- Title
- Asynchronous Local-SGD Training forLanguage Modeling
- Authors
- Bo Liu*, Arthur Douillard, Rachita Chhaparia, Jiajun Shen, Andrei Rusu, Arthur Szlam, Marc'aurelio Ranzato, Satyen Kale
- Venue
- arXiv
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- Date
- Title
- E3x: E(3)-Equivariant Deep Learning Made Easy
- Authors
- Oliver Unke, Hartmut Maennel
- Venue
- arXiv