Research
Publications
Latest research news
Discover our latest AI breakthroughs and updates from the lab
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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
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Research
Google DeepMind at ICML 2024
Exploring AGI, the challenges of scaling and the future of multimodal generative AI
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Research
Generating audio for video
Video-to-audio research uses video pixels and text prompts to generate rich soundtracks
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
- 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
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- 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
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- 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
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- 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
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- Date
- Title
- Neural Fields as Distributions: Signal Processing Beyond Euclidean Space
- Authors
- Daniel Rebain, Soroosh Yazdani, Kwang Moo Yi, Andrea Tagliasacchi
- Venue
- CVPR 2024
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- Date
- Title
- Bayes' Rays: uncertainty quantification for neural radiance fields
- Authors
- Lily Goli, Cody Reading, Silvia Sellan, Alec Jacobson, Andrea Tagliasacchi
- Venue
- CVPR 2024
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- 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
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- 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
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- Date
- Title
- An Introduction to Universal Artificial Intelligence
- Authors
- Marcus Hutter, David Quarel, Elliot Catt
- Venue
- Chapman and Hall/CRC
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- Date
- Title
- Super-Exponential Regret for UCT, AlphaGo and Variants
- Authors
- Laurent Orseau, Remi Munos
- Venue
- arXiv
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- Date
- Title
- Deep SE(3)-Equivariant Geometric Reasoning for Precise Placement Tasks
- Authors
- Ben Eisner*, Jon Scholz, Todor Davchev, Yi Yang, Mel Vecerik
- Venue
- ICLR 2024
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- Date
- Title
- Adaptive Hashing: Faster Hash Functions Perhaps with Fewer Collisions
- Authors
- Gábor Melis
- Venue
- European Lisp Symposium 2024
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- Date
- Title
- From Sparse to Soft Mixture of Experts
- Authors
- Joan Puigcerver, Neil Houlsby, Basil Mustafa
- Venue
- ICLR 2024
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- 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
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- Date
- Title
- π2vec: Policy Representations with SuccessorFeatures
- Authors
- Gianluca Scarpellini*, Ksenia Konyushkova, Claudio Fantacci, Tom Paine, Yutian Chen, Misha Denil
- Venue
- ICLR 2024
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- 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
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- Date
- Title
- Privacy Amplification by Sampling for the Matrix Mechanism.
- Authors
- Christopher A. Choquette-Choo, Arun Ganesh, Thomas Steinke, Abhradeep Thakurta
- Venue
- ICLR 2024
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- 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
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- 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
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- 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
Technologies
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