Research
Publications
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- AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents
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- GenCast: learning skillful ensemble forecasting of medium-range weather
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- Zero-Shot Metric Depth with a Field-of-View Conditioned Diffusion Model
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- Equivariant MuZero
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- Challenges with unsupervised LLM knowledge discovery
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- Learning Silicon Dopant Transitions in Graphene using Scanning Transmission Electron Microscopy
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- Meta-in-context learning in large language models
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- A Definition of Continual Reinforcement Learning
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- Rethinking the Role of Token Retrieval in Multi-Vector Retrieval
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- A Simple Recipe for Contrastively Pre-training Video-First Encoders Beyond 16 Frames
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- Schema-learning and rebinding as mechanisms of in-context learning and emergence
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- Optimal Preconditioning and Fisher Adaptive Langevin Sampling
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- Improving neural network representations using human similarity judgments
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- Towards In-context Scene Understanding
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- Probabilistic Inference in Reinforcement Learning Done Right
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- Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples
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- Optimization and Evaluation of Fine-grained Jaccard Indexes for Semantic Segmentation
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- LambdaBeam: Neural Program Search with Higher-Order Functions and Lambdas
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- Benchmarking Robustness to Adversarial Image Obfuscations
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