Research
Publications
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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
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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.
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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.
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- Improving neural network representations using human similarity judgments
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- Probabilistic Inference in Reinforcement Learning Done Right
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- Optimization and Evaluation of Fine-grained Jaccard Indexes for Semantic Segmentation
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- Benchmarking Robustness to Adversarial Image Obfuscations
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- Optimal Preconditioning and Fisher Adaptive Langevin Sampling
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- LambdaBeam: Neural Program Search with Higher-Order Functions and Lambdas
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- Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples
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- Passive learning of active causal strategies in agents and language models
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- Towards In-context Scene Understanding
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- Distributional Bellman Operators over Mean-embeddings
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- POMRL: No-Regret Learning-to-Plan with IncreasingHorizons
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- Revisiting Dynamic Evaluation:Online Adaptation for LLMs
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- SEAHORSE: A Multilingual, Multifaceted Dataset for Summarization Evaluation
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- A Benchmark for Reasoning with Spatial Prepositions
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- RoboCat: A Self-Improving Foundation Agent for Robotic Manipulation
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- Gaussian Process Probes (GPP) for Uncertainty-Aware Probing
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- Small batch deep reinforcement learning
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- RLHF and IIA: Perverse Incentives
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