Dinesh Jayaraman

Expanding Spatial and Temporal Context for Robotic Imitation Learning With Scene Graphs CVPR 2026 Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model ICLR 2025 Leveling the Playing Field: Carefully Comparing Classical and Learned Controllers for Quadrotor Trajectory Tracking RSS 2025 REGENT: A Retrieval-Augmented Generalist Agent That Can Act In-Context in New Environments ICLR 2025 RICL: Adding In-Context Adaptability to Pre-Trained Vision-Language-Action Models CoRL 2025 RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies CoRL 2025 The Belief State Transformer ICLR 2025 The Value of Sensory Information to a Robot ICLR 2025 Vision Language Models are In-Context Value Learners ICLR 2025 Can Transformers Capture Spatial Relations between Objects? ICLR 2024 DrEureka: Language Model Guided Sim-To-Real Transfer RSS 2024 DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset RSS 2024 Environment Curriculum Generation via Large Language Models CoRL 2024 Eureka: Human-Level Reward Design via Coding Large Language Models ICLR 2024 Memory-Consistent Neural Networks for Imitation Learning ICLR 2024 Privileged Sensing Scaffolds Reinforcement Learning ICLR 2024 Task-Oriented Hierarchical Object Decomposition for Visuomotor Control CoRL 2024 TLControl: Trajectory and Language Control for Human Motion Synthesis ECCV 2024 ZeroFlow: Scalable Scene Flow via Distillation ICLR 2024 Im2Contact: Vision-Based Contact Localization Without Touch or Force Sensing CoRL 2023 Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching L4DC 2023 LIV: Language-Image Representations and Rewards for Robotic Control ICML 2023 Planning Goals for Exploration ICLR 2023 VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training ICLR 2023 Discovering Deformable Keypoint Pyramids ECCV 2022 Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming ICML 2022 Know Thyself: Transferable Visual Control Policies Through Robot-Awareness ICLR 2022 Offline Goal-Conditioned Reinforcement Learning via f-Advantage Regression NeurIPS 2022 Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning CoRL 2022 Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching ICML 2022 Conservative Offline Distributional Reinforcement Learning NeurIPS 2021 How Are Learned Perception-Based Controllers Impacted by the Limits of Robust Control? L4DC 2021 Keyframe-Focused Visual Imitation Learning ICML 2021 Likelihood-Based Diverse Sampling for Trajectory Forecasting ICCV 2021 Probabilistic Modeling for Human Mesh Recovery ICCV 2021 SMiRL: Surprise Minimizing Reinforcement Learning in Unstable Environments ICLR 2021 Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings ICML 2020 Fighting Copycat Agents in Behavioral Cloning from Observation Histories NeurIPS 2020 Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors NeurIPS 2020 Model-Based Inverse Reinforcement Learning from Visual Demonstrations CoRL 2020 Causal Confusion in Imitation Learning NeurIPS 2019 Time-Agnostic Prediction: Predicting Predictable Video Frames ICLR 2019 Learning to Look Around: Intelligently Exploring Unseen Environments for Unknown Tasks CVPR 2018 ShapeCodes: Self-Supervised Feature Learning by Lifting Views to Viewgrids ECCV 2018 Slow and Steady Feature Analysis: Higher Order Temporal Coherence in Video CVPR 2016 Learning Image Representations Tied to Ego-Motion ICCV 2015 Decorrelating Semantic Visual Attributes by Resisting the Urge to Share CVPR 2014 Zero-shot recognition with unreliable attributes NeurIPS 2014