Dinesh Jayaraman

47 papers · 2014–2025 · 9 conferences · across top CS/AI conferences

Achievements

+14 more ↓

🌍 Conference Polyglot (9) 🏃 Academic Marathon (11) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (4)

🐝 Cross-Pollinator (4) 🌈 Renaissance Researcher (6) 🗺️ Taxonomy Completionist (58) 🤝 Dynamic Duo (12) 🧬 Topic Evolution 👑 Triple Crown 👥 Mega-Team (98) ❓ The Questioner (2) 📈 Trend Setter ⚡ Prolific Year (6) 🚀 Conference Pioneer 🗃️ Keyword Collector (135) 💎 Century Club (47) 🔥 Unstoppable (8)

Conferences

ICLR (15) CORL (7) NIPS (6) ICML (5) CVPR (3) ECCV (3) ICCV (3) RSS (3) L4DC (2)

Top co-authors

Osbert Bastani (12) Yecheng Jason Ma (10) Sergey Levine (7) Edward S. Hu (7) Kristen Grauman (6) Chelsea Finn (5) Chuan Wen (4) Jianing Qian (4) Yang Gao (4) Oleh Rybkin (4)

Research topics

Reinforcement Learning (1) Robotics (1)

Keywords

imitation learning (4) reinforcement learning (4) behavioral cloning (3) robot manipulation (3) representation learning (3) domain generalization (2) state-occupancy matching (2) sim-to-real transfer (2) normalizing flow (2) convolutional neural network (2) policy transfer (2) model-based reinforcement learning (2) autonomous driving (2) offline reinforcement learning (2) policy learning (2) partially observable (2) visual observation (1) few-shot learning (1) feature learning (1) zero-shot learning (1)

Papers

RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies CORL 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 Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model ICLR 2025 The Belief State Transformer ICLR 2025 Vision Language Models are In-Context Value Learners ICLR 2025 The Value of Sensory Information to a Robot ICLR 2025 RICL: Adding In-Context Adaptability to Pre-Trained Vision-Language-Action Models CORL 2025 TLControl: Trajectory and Language Control for Human Motion Synthesis ECCV 2024 Environment Curriculum Generation via Large Language Models CORL 2024 Task-Oriented Hierarchical Object Decomposition for Visuomotor Control CORL 2024 Eureka: Human-Level Reward Design via Coding Large Language Models ICLR 2024 Privileged Sensing Scaffolds Reinforcement Learning ICLR 2024 Memory-Consistent Neural Networks for Imitation Learning ICLR 2024 Can Transformers Capture Spatial Relations between Objects? ICLR 2024 ZeroFlow: Scalable Scene Flow via Distillation ICLR 2024 DrEureka: Language Model Guided Sim-To-Real Transfer RSS 2024 DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset RSS 2024 Planning Goals for Exploration ICLR 2023 Learning Policy-Aware Models for Model-Based Reinforcement Learning via Transition Occupancy Matching L4DC 2023 VIP: Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training ICLR 2023 LIV: Language-Image Representations and Rewards for Robotic Control ICML 2023 Im2Contact: Vision-Based Contact Localization Without Touch or Force Sensing CORL 2023 Discovering Deformable Keypoint Pyramids ECCV 2022 Training Robots to Evaluate Robots: Example-Based Interactive Reward Functions for Policy Learning CORL 2022 Know Thyself: Transferable Visual Control Policies Through Robot-Awareness ICLR 2022 Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming ICML 2022 Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching ICML 2022 Offline Goal-Conditioned Reinforcement Learning via $f$-Advantage Regression NIPS 2022 How Are Learned Perception-Based Controllers Impacted by the Limits of Robust Control? L4DC 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 Conservative Offline Distributional Reinforcement Learning NIPS 2021 Keyframe-Focused Visual Imitation Learning ICML 2021 Model-Based Inverse Reinforcement Learning from Visual Demonstrations CORL 2020 Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors NIPS 2020 Fighting Copycat Agents in Behavioral Cloning from Observation Histories NIPS 2020 Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings ICML 2020 Causal Confusion in Imitation Learning NIPS 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 NIPS 2014