Research
Publications
-
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
- The Vizier Gaussian Process Bandit Algorithm
- Authors
- Xingyou Song, Qiuyi Zhang, Chansoo Lee, Emily Fertig, Tzu-Kuo Huang, Lior Belenki, Greg Kochanski, Setareh Ariafar, Srinivas Vasudevan, Sagi Perel, Daniel Golovin
- Venue
- arXiv
-
- Date
- Title
- The Probabilities Also Matter: A More Faithful Metric for Faithfulness of Free-Text Explanations in Large Language Models
- Authors
- Noah Y. Siegel, Oana-Maria Camburu, Nicolas Heess, Maria Perez-Ortiz
- Venue
- ACL 2024
-
- Date
- Title
- Achieving Human Level Competitive Robot Table Tennis
- Authors
- David B. D'Ambrosio, Saminda Abeyruwan, Laura Graesser, Atil Iscen, Heni Ben Amor, Alex Bewley, Barney J. Reed, Krista Reymann, Leila Takayama, Yuval Tassa, Krzysztof Choromanski, Erwin Coumans, Deepali Jain, Navdeep Jaitly, Natasha Jaques, Satoshi Kataoka, Yuheng Kuang, Nevena Lazic, Reza Mahjourian, Sherry Moore, Kenneth Oslund, Anish Shankar, Vikas Sindhwani, Vincent Vanhoucke, Grace Vesom, Peng Xu, and Pannag R. Sanketi
- Venue
- arXiv
-
- Date
- Title
- Pre-trained Gaussian processes for Bayesian optimization
- Authors
- Zi Wang, George E. Dahl, Kevin Swersky, Chansoo Lee, Zachary Nado, Justin Gilmer, Jasper Snoek, Zoubin Ghahramani
- Venue
- JMLR
-
- Date
- Title
- Levels of AGI for Operationalizing Progress on the Path to AGI
- Authors
- Meredith Ringel Morris, Jascha Sohl-dickstein, Noah Fiedel, Tris Warkentin, Allan Dafoe, Aleksandra Faust, Clement Farbaret, Shane Legg
- Venue
- ICML 2024
-
- Date
- Title
- Language models, like humans, show content effects on reasoning tasks
- Authors
- Andrew K Lampinen*, Ishita Dasgupta*, Stephanie C Y Chan, Hannah R Sheahan, Antonia Creswell, Dharshan Kumaran, James L McClelland, Felix Hill (*equal contribution)
- Venue
- PNAS Nexus
-
- Date
- Title
- Neural Climate Data Compression
- Authors
- Piotr Mirowski, David Warde-Farley, Mihaela Rosca , Matthew Koichi Grimes , Yana Hasson, Hyunjik Kim, Mélanie Rey, Simon Osindero, Suman Ravuri and Shakir Mohamed
- Venue
- arXiv
-
- Date
- Title
- Mirasol3B: A Multimodal Autoregressive Model for Time-Aligned and Contextual Modalities
- Authors
- AJ Piergiovanni, Isaac Noble, Dahun Kim, Michael S. Ryoo, Victor Gomes, Anelia Angelova
- Venue
- CVPR 2024
-
- Date
- Title
- Neural Fields as Distributions: Signal Processing Beyond Euclidean Space
- Authors
- Daniel Rebain, Soroosh Yazdani, Kwang Moo Yi, Andrea Tagliasacchi
- Venue
- CVPR 2024
-
- Date
- Title
- Bayes' Rays: uncertainty quantification for neural radiance fields
- Authors
- Lily Goli, Cody Reading, Silvia Sellan, Alec Jacobson, Andrea Tagliasacchi
- Venue
- CVPR 2024
-
- Date
- Title
- Don't trust your eyes: on the (un)reliability of feature visualizations
- Authors
- Robert Geirhos, Roland S. Zimmermann*, Blair Bilodeau*, Wieland Brendel*, Been Kim
- Venue
- ICML 2024
-
- Date
- Title
- A Robot Walks into a Bar: Can Language Models Serve as Creativity Support Tools for Comedy? An Evaluation of LLMs' Humour Alignment with Comedians
- Authors
- Piotr Mirowski, Juliette Love, Kory Mathewson, Shakir Mohamed
- Venue
- FAccT 2024
-
- Date
- Title
- An Introduction to Universal Artificial Intelligence
- Authors
- Marcus Hutter, David Quarel, Elliot Catt
- Venue
- Chapman and Hall/CRC
-
- Date
- Title
- Super-Exponential Regret for UCT, AlphaGo and Variants
- Authors
- Laurent Orseau, Remi Munos
- Venue
- arXiv
-
- Date
- Title
- CORRELATED NOISE PROVABLY BEATS INDEPENDENT NOISE FOR DIFFERENTIALLY PRIVATE LEARNING
- Authors
- Christopher A. Choquette-Choo, Krishnamurthy Dvijotham, Krishna Pillutla, Arun Ganesh, Thomas Steinke, Abhradeep Thakurta
- Venue
- ICLR 2024
-
- Date
- Title
- Kalman Filter for Online Classification of Non-Stationary Data
- Authors
- Alexandre Galashov, Michalis Titsias, Jörg Bornschein, Amal Rannen-Triki, Razvan Pascanu, Yee Whye Teh
- Venue
- ICLR 2024
-
- Date
- Title
- Learning 3D Particle-based Simulators from RGB-D Videos
- Authors
- Will Whitney, Tatiana López, Tobias Pfaff, Yulia Rubanova, Thomas Kipf, Kimberly Stachenfeld, Kelsey Allen
- Venue
- ICLR 2024
-
- Date
- Title
- Teach LLMs to Phish: Stealing Private Information from Language Models
- Authors
- Ashwinee Panda, Christopher A. Choquette-Choo, Zhengming Zhang, Yaoqing Yang, Prateek Mittal
- Venue
- ICLR 2024
-
- Date
- Title
- Language Modeling Is Compression
- Authors
- Grégoire Delétang, Anian Ruoss, Paul-Ambroise Duquenne*, Elliot Catt, Tim Genewein, cmattern , Matthew Aitchison, Laurent Orseau, Marcus Hutter, Joel Veness
- Venue
- ICLR 2024
-
- Date
- Title
- Privacy Amplification by Sampling for the Matrix Mechanism.
- Authors
- Christopher A. Choquette-Choo, Arun Ganesh, Thomas Steinke, Abhradeep Thakurta
- Venue
- ICLR 2024