Jonathan Tompson

31 papers · 2015–2025 · 8 conferences · across top CS/AI conferences

Achievements

+10 more ↓

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8)

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) 🧬 Topic Evolution 👥 Mega-Team (49) 🗃️ Keyword Collector (113) 🚀 Conference Pioneer 💎 Century Club (31) 🔥 Unstoppable (9) ⚡ Prolific Year (5)

Conferences

CORL (9) CVPR (5) RSS (5) ICLR (4) ICML (4) ICCV (2) ECCV (1) NIPS (1)

Top co-authors

Pierre Sermanet (9) Ayzaan Wahid (8) Debidatta Dwibedi (7) Andy Zeng (7) Pete Florence (7) Ted Xiao (6) Sergey Levine (6) Fei Xia (5) brian ichter (5) Karol Hausman (4)

Keywords

convolutional network (4) offline reinforcement learning (3) robot manipulation (3) self-supervised learning (3) imitation learning (3) convolutional neural network (3) robotic manipulation (3) representation learning (2) visual question answering (2) semi-supervised learning (2) large language model (2) vision-language model (2) closed-loop feedback (2) policy learning (2) embodied ai (2) contrastive learning (2) multimodal learning (1) data augmentation (1) pose estimation (1) human pose estimation (1)

Papers

Learning the RoPEs: Better 2D and 3D Position Encodings with STRING ICML 2025 Robot Data Curation with Mutual Information Estimators RSS 2025 FlexCap: Describe Anything in Images in Controllable Detail NIPS 2024 ALOHA Unleashed: A Simple Recipe for Robot Dexterity CORL 2024 Video Language Planning ICLR 2024 Learning Interactive Real-World Simulators ICLR 2024 RT-H: Action Hierarchies using Language RSS 2024 Learning to Learn Faster from Human Feedback with Language Model Predictive Control RSS 2024 Contrastive Value Learning: Implicit Models for Simple Offline RL CORL 2023 Scaling Robot Learning with Semantically Imagined Experience RSS 2023 Robotic Skill Acquisition via Instruction Augmentation with Vision-Language Models RSS 2023 PaLM-E: An Embodied Multimodal Language Model ICML 2023 Geometry Matching for Multi-Embodiment Grasping CORL 2023 Inner Monologue: Embodied Reasoning through Planning with Language Models CORL 2022 Offline Reinforcement Learning with Fisher Divergence Critic Regularization ICML 2021 XIRL: Cross-embodiment Inverse Reinforcement Learning CORL 2021 Implicit Behavioral Cloning CORL 2021 With a Little Help From My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations ICCV 2021 Imitation Learning via Off-Policy Distribution Matching ICLR 2020 Transporter Networks: Rearranging the Visual World for Robotic Manipulation CORL 2020 Counting Out Time: Class Agnostic Video Repetition Counting in the Wild CVPR 2020 Temporal Cycle-Consistency Learning CVPR 2019 Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning ICLR 2019 Learning Latent Plans from Play CORL 2019 PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model ECCV 2018 Towards Accurate Multi-Person Pose Estimation in the Wild CVPR 2017 Learning Robotic Manipulation of Granular Media CORL 2017 Accelerating Eulerian Fluid Simulation With Convolutional Networks ICML 2017 Efficient Object Localization Using Convolutional Networks CVPR 2015 Efficient ConvNet-Based Marker-Less Motion Capture in General Scenes With a Low Number of Cameras CVPR 2015 Unsupervised Learning of Spatiotemporally Coherent Metrics ICCV 2015