Publications
Explore a selection of our recent research on some of the most complex and interesting challenges in AI.
240 publications
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- 17 January 2024
- Asynchronous Local-SGD Training forLanguage Modeling
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- 17 January 2024
- E3x: E(3)-Equivariant Deep Learning Made Easy
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- 16 January 2024
- GATS: Gather-Attend-Scatter
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- 16 January 2024
- NfgTransformer: Equivariant Representation Learning for Normal-form Games
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- 16 January 2024
- Generative Adversarial Equilibrium Solvers
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- 16 January 2024
- Directly Fine-Tuning Diffusion Models on Differentiable Rewards
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- 16 January 2024
- Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization
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- 16 January 2024
- On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes
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- 11 January 2024
- Learning Planning-compatible Cognitive Maps with Transformers in PartiallyObserved Environments
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- 10 January 2024
- Distributional reinforcement learning in prefrontal cortex
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- 4 January 2024
- AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents
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- 25 December 2023
- GenCast: learning skillful ensemble forecasting of medium-range weather
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- 20 December 2023
- Zero-Shot Metric Depth with a Field-of-View Conditioned Diffusion Model
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- 19 December 2023
- Equivariant MuZero
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- 15 December 2023
- Challenges with unsupervised LLM knowledge discovery
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- 15 December 2023
- Learning Silicon Dopant Transitions in Graphene using Scanning Transmission Electron Microscopy
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- 14 December 2023
- Meta-in-context learning in large language models
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- 12 December 2023
- A Simple Recipe for Contrastively Pre-training Video-First Encoders Beyond 16 Frames
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- 12 December 2023
- Online RL in Linearly $q^\pi$-Realizable MDPs Is as Easy as in Linear MDPs If You Learn What to Ignore
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- 12 December 2023
- A Definition of Continual Reinforcement Learning
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- 12 December 2023
- Schema-learning and rebinding as mechanisms of in-context learning and emergence
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- 12 December 2023
- Rethinking the Role of Token Retrieval in Multi-Vector Retrieval
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- 10 December 2023
- Towards In-context Scene Understanding
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- 10 December 2023
- Passive learning of active causal strategies in agents and language models
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- 10 December 2023
- Probabilistic Inference in Reinforcement Learning Done Right
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- 10 December 2023
- Optimal Preconditioning and Fisher Adaptive Langevin Sampling
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- 10 December 2023
- Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples
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- 10 December 2023
- LambdaBeam: Neural Program Search with Higher-Order Functions and Lambdas
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- 10 December 2023
- Optimization and Evaluation of Fine-grained Jaccard Indexes for Semantic Segmentation
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- 10 December 2023
- Benchmarking Robustness to Adversarial Image Obfuscations