Not All Errors Are Made Equal: A Regret Metric for Detecting System-level Trajectory Prediction Failures. - Kensuke Nakamura 002; Thomas Tian; Andrea Bajcsy (CoRL, 2024)

Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning. - Yixiao Wang; Yifei Zhang; Mingxiao Huo; Thomas Tian; Xiang Zhang 006; Yichen Xie 002; Chenfeng Xu; Pengliang Ji; Wei Zhan; Mingyu Ding; Masayoshi Tomizuka (CoRL, 2024)

What Matters to You? Towards Visual Representation Alignment for Robot Learning. - Thomas Tian; Chenfeng Xu; Masayoshi Tomizuka; Jitendra Malik; Andrea Bajcsy (ICLR, 2024)

Quantifying Interaction Level Between Agents Helps Cost-efficient Generalization in Multi-agent Reinforcement Learning. - Yuxin Chen; Chen Tang 001; Thomas Tian; Chenran Li; Jinning Li 002; Masayoshi Tomizuka; Wei Zhan (RLJ, 2024)

Human-oriented Representation Learning for Robotic Manipulation. - Mingxiao Huo; Mingyu Ding; Chenfeng Xu; Thomas Tian; Xinghao Zhu; Yao Mu 001; Lingfeng Sun; Masayoshi Tomizuka; Wei Zhan (Robotics: Science and Systems, 2024)

Direct Post-Training Preference Alignment for Multi-Agent Motion Generation Model Using Implicit Feedback from Pre-training Demonstrations. - Thomas Tian; Kratarth Goel (ICLR, 2025)