Research
Publications
Latest research news
Discover our latest AI breakthroughs and updates from the lab
-
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.
-
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
-
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.
-
- Date
- Title
- Generative Adversarial Equilibrium Solvers
- Authors
- Denizalp Goktas, David C. Parkes, Ian Gemp, Luke Marris, Georgios Piliouras, Romuald Elie, Guy Lever, Andrea Tacchetti
- Venue
- ICLR 2024
-
- Date
- Title
- NfgTransformer: Equivariant Representation Learning for Normal-form Games
- Authors
- Siqi Liu, Luke Marris, Ian Gemp, Georgios Piliouras, Nicolas Heess
- Venue
- ICLR 2024
-
- Date
- Title
- Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization
- Authors
- Ian Gemp, Luke Marris, Georgios Piliouras
- Venue
- ICLR 2024
-
- Date
- Title
- Directly Fine-Tuning Diffusion Models on Differentiable Rewards
- Authors
- Kevin Clark*, Paul Vicol*, Kevin Swersky, David J. Fleet
- Venue
- ICLR 2024
-
- Date
- Title
- GATS: Gather-Attend-Scatter
- Authors
- Konrad Zolna, Serkan Cabi, Yutian Chen, Eric Lau, Claudio Fantacci, Jurgis Pasukonis, Jost Tobias Springenberg, Sergio Gomez
- Venue
- arXiv
-
- Date
- Title
- On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes
- Authors
- Rishabh Agarwal, Nino Vieillard, Yongchao Zhou, Piotr Stanczyk, Sabela Ramos, mfgeist , Olivier Bachem
- Venue
- ICLR 2024
-
- Date
- Title
- Learning Planning-compatible Cognitive Maps with Transformers in PartiallyObserved Environments
- Authors
- Antoine Dedieu, Wolfgang Lehrach, Guangyao Zhou, Dileep George, Miguel Lázaro-Gredilla
- Venue
- arXiv
-
- Date
- Title
- Distributional reinforcement learning in prefrontal cortex
- Authors
- Timothy Muller*, James Butler*, Sebastijan Veselic*, Bruno Miranda*, Timothy Behrens*, Zeb Kurth-Nelson, Steve Kennerley*
- Venue
- Nature Neuroscience
-
- Date
- Title
- AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents
- Authors
- Alex Irpan, Keerthana Gopalakrishnan, Sergey Levine, Ted Xiao, Peng Xu, Ryan Julian, Sean Kirmani, Debidatta Dwibedi, Karol Hausman, Dorsa Sadigh, ichter , yaolug , Stefan Welker, Pannag Sanketi, Kanishka Rao, Edward Lee, Fei Xia, Isabel Leal, Pierre Sermanet, Nikhil Joshi, Zhuo Xu, Quan Vuong, Michael Ahn, chelseaf , Montse Gonzalez Arenas, Steve Xu, Sharath Maddineni
- Venue
- arXiv
-
- Date
- Title
- GenCast: learning skillful ensemble forecasting of medium-range weather
- Authors
- Ilan Price, Matthew Willson, Alvaro Sanchez, Peter Battaglia, Remi Lam, Ferran Alet, Jacklynn Stott, Timo Ewalds, Shakir Mohamed
- Venue
- arXiv
-
- Date
- Title
- Zero-Shot Metric Depth with a Field-of-View Conditioned Diffusion Model
- Authors
- Saurabh Saxena, Junhwa Hur, Charles Herrmann, Deqing Sun, David Fleet
- Venue
- arXiv
-
- Date
- Title
- Equivariant MuZero
- Authors
- Andreea Deac*, Theophane Weber, George Papamakarios
- Venue
- Transactions on Machine Learning Research (TMLR)
-
- Date
- Title
- Challenges with unsupervised LLM knowledge discovery
- Authors
- Sebastian Farquhar, Vikrant Varma, Zachary Kenton, Johannes Gasteiger, Vladimir Mikulik, Rohin Shah
- Venue
- arXiv
-
- Date
- Title
- Learning Silicon Dopant Transitions in Graphene using Scanning Transmission Electron Microscopy
- Authors
- Max Schwarzer, Jesse Farebrother, Joshua Greaves, Ekin Dogus Cubuk, Rishabh Agarwal, Aaron Courville, Marc G. Bellemare, Sergei Kalinin, Igor Mordatch, Pablo Samuel Castro, Kevin M. Roccapriore
- Venue
- NeurIPS Workshop 2023
-
- Date
- Title
- Meta-in-context learning in large language models
- Authors
- Julian Coda-Forno, Marcel Binz, Zeynep Akata, Matthew Botvinick, Jane X. Wang, Eric Schulz
- Venue
- NeurIPS 2023
-
- Date
- Title
- Schema-learning and rebinding as mechanisms of in-context learning and emergence
- Authors
- Sivaramakrishnan Swaminathan, Antoine Dedieu, Rajkumar Vasudeva Raju, Murray Shanahan, Miguel Lázaro-Gredilla, Dileep George
- Venue
- NeurIPS 2023
-
- Date
- Title
- Rethinking the Role of Token Retrieval in Multi-Vector Retrieval
- Authors
- Jinhyuk Lee, Zhuyun Dai, Sai Meher Karthik Duddu, Tao Lei, Iftekhar Naim, Ming-Wei Chang, Vincent Zhao
- Venue
- NeurIPS 2023
-
- Date
- Title
- A Definition of Continual Reinforcement Learning
- Authors
- David Abel, André Barreto, Benjamin Van Roy, Doina Precup, Hado van Hasselt, Satinder Singh
- Venue
- NeurIPS 2023
-
- Date
- Title
- Online RL in Linearly $q^\pi$-Realizable MDPs Is as Easy as in Linear MDPs If You Learn What to Ignore
- Authors
- Gellért Weisz, Andras Gyorgy, Csaba Szepesvari
- Venue
- NeurIPS 2023
-
- Date
- Title
- A Simple Recipe for Contrastively Pre-training Video-First Encoders Beyond 16 Frames
- Authors
- Nelly Papalampidi, Skanda Koppula, Shreya Pathak, Justin Chiu, Viorica Patraucean, Joe Heyward, Jiajun Shen, Antoine Miech, Andrew Zisserman, Aida Nematzadeh
- Venue
- CVPR 2024