Research
Publications
-
Research
Our latest advances in robot dexterity
Two new AI systems, ALOHA Unleashed and DemoStart, help robots learn to perform complex tasks that require dexterous movement
-
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
Publications
Explore a selection of our recent research on some of the most complex and interesting challenges in AI.
-
- Date
- Title
- Prosody for Intuitive Robotic Interface Design: It's Not What You Said, It's How You Said It
- Authors
- Ellie Sanoubari, Atil Iscen, Leila Takayama, Stefano Saliceti, Corbin Cunningham, Ken Caluwaerts
- Venue
- HRI 2024 Workshop
-
- Date
- Title
- Understanding Learning from Human Preferences
- Authors
- Mohammad Gheshlaghi Azar, Mark Rowland, Bilal Piot, Zhaohan Daniel Guo, Daniele Calandriello, Michal Valko, Rémi Munos
- Venue
- (deprecated) AISTATS2024
-
- Date
- Title
- AtP*: Efficient and scalable methods for localizing LLM behaviour to components
- Authors
- János Kramár, Tom Lieberum, Neel Nanda, Rohin Shah
- Venue
- arXiv
-
- Date
- Title
- How aligned are different alignment metrics?
- Authors
- Jannis Ahlert, Thomas Klein, Felix A. Wichmann, Robert Geirhos
- Venue
- ICLR Workshop 2024
-
- Date
- Title
- Towards Practical Reinforcement Learning for Tokamak Magnetic Control
- Authors
- Brendan Tracey, Andrea Michi, Yuri Chervonyi, Ian Davies, Cosmin Paduraru, Nevena Lazic, Federico Felici*, Timo Ewalds, Craig Donner, Cristian Galperti*, Jonas Buchli, Michael Neunert, Andrea Huber, Jonathan Evens, Paula Kurylowicz, Daniel J. Mankowitz, Martin Riedmiller
- Venue
- Fusion Engineering and Design
-
- Date
- Title
- Approximating the Core of Cooperative Games
- Authors
- Ian Gemp, Marc Lanctot, Luke Marris, Yiran Mao, Edgar Duéñez-Guzmán, Sarah Perrin, Andras Gyorgy, Romuald Elie, Georgios Piliouras, Michael Kaisers, Daniel Hennes, Kalesha Bullard, Kate Larson, Yoram Bachrach
- Venue
- AAMAS 2024
-
- Date
- Title
- Self-supervised video pretraining yields strong image representations
- Authors
- Nikhil Parthasarathy, Ali Eslami, Joao Carreira, Olivier Henaff
- Venue
- NeurIPS 2023
-
- Date
- Title
- Bad Students Make Great Teachers: Active Learning Accelerates Large Scale Visual Understanding
- Authors
- Talfan Evans, Shreya Pathak, Ryutaro Tanno, Hamza Merzic, Olivier Henaff
- Venue
- arXiv
-
- Date
- Title
- Set Learning for Accurate and Calibrated Models
- Authors
- Lukas Muttenthaler, Robert Vandermeulen, Richard Zhang, Thomas Unterthiner, Klaus-Robert Mueller
- Venue
- ICLR 2024
-
- Date
- Title
- Frozen Feature Augmentation
- Authors
- Andreas Bär*, Manoj Kumar, Neil Houlsby, Mostafa Dehghani
- Venue
- CVPR 2024
-
- Date
- Title
- A density estimation perspective on learning from pairwise human preferences
- Authors
- Vincent Dumoulin, Daniel Johnson, Pablo Castro Rivadeneira, Hugo Larochelle, Yann Dauphin
- Venue
- Transactions on Machine Learning Research (TMLR)
-
- Date
- Title
- Intriguing Properties of Generative Classifers
- Authors
- Priyank Jaini, kevclark , Robert Geirhos
- Venue
- ICLR 2024
-
- Date
- Title
- Learning a Fourier Transform for Linear Relative Positional Encodings in Transformers
- Authors
- Krzysztof Marcin Choromanski, Shanda Li, Valerii Likhosherstov, Kumar Avinava Dubey, Shengjie Luo, Di He, Yiming Yang, Tamas Sarlos, Thomas Weingarten, Adrian Weller
- Venue
- (deprecated) AISTATS2024
-
- Date
- Title
- On Limitations of the Transformer Architecture
- Authors
- Binghui Peng*, Srini Narayanan, Christos Papadimitriou*
- Venue
- arXiv
-
- Date
- Title
- Genie: Generative Interactive Environments
- Authors
- Jake Bruce, Michael Dennis, Ashley Edwards, Jack Parker-Holder, Yuge Shi, Edward Hughes, Matthew Lai, Aditi Mavalankar, Richie Steigerwald, Chris Apps, Yusuf Aytar, Sarah Bechtle, Feryal Behbahani, Stephanie Chan, Nicolas Heess, Lucy Gonzalez, Simon Osindero, Sherjil Ozair, Scott Reed, Jingwei Zhang, Konrad Zolna, Jeff Clune, Nando de Freitas, Satinder Singh, Tim Rocktäschel
- Venue
- arXiv
-
- Date
- Title
- AlphaTensor for Optimizing Quantum Computations
- Authors
- Francisco Ruiz, Tuomas Laakkonen*, Johannes Bausch, Matej Balog, Mohammadamin Barekatain*, Francisco Heras, Alexander Novikov, Nathan Fitzpatrick*, Bernardino Romera Paredes, John van de Wetering*, Alhussein Fawzi, Konstantinos Meichanetzidis*, Pushmeet Kohli
- Venue
- arXiv
-
- Date
- Title
- OmniPred: Language Models as Universal Regressors
- Authors
- Xingyou Song, Oscar Li, Chansoo Lee, Bangding (Jeffrey) Yang, Daiyi Peng, Sagi Perel, Yutian Chen
- Venue
- arXiv
-
- Date
- Title
- When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method
- Authors
- Biao Zhang, Zhongtao Liu, Colin Cherry, Orhan Firat
- Venue
- ICLR 2024
-
- Date
- Title
- The Next 700 ML-Enabled Compiler Optimizations
- Authors
- S. VenkataKeerthy*, Siddharth Jain*, Umesh Kalvakuntla*, Gorantla Pranav Sai*, Albert Cohen, Eugene Brevdo, Mircea Trofin*, Ramakrishna Upadrasta*
- Venue
- ACM SIGPLAN 2024 International Conference on Compiler Construction
-
- Date
- Title
- Simulacra as Conscious Exotica
- Authors
- Murray Shanahan
- Venue
- arXiv