Chen, Le

8 publications

TMLR 2025 GaussianFlow: Splatting Gaussian Dynamics for 4D Content Creation Quankai Gao, Qiangeng Xu, Zhe Cao, Ben Mildenhall, Wenchao Ma, Le Chen, Danhang Tang, Ulrich Neumann

ICLRW 2025 Generalist World Model Pre-Training for Efficient Reinforcement Learning Yi Zhao, Aidan Scannell, Yuxin Hou, Tianyu Cui, Le Chen, Dieter Büchler, Arno Solin, Juho Kannala, Joni Pajarinen

NeurIPS 2024 CodeRosetta: Pushing the Boundaries of Unsupervised Code Translation for Parallel Programming Ali TehraniJamsaz, Arijit Bhattacharjee, Le Chen, Nesreen K. Ahmed, Amir Yazdanbakhsh, Ali Jannesari

ICLR 2024 Identifying Policy Gradient Subspaces Jan Schneider, Pierre Schumacher, Simon Guist, Le Chen, Daniel Haeufle, Bernhard Schölkopf, Dieter Büchler

CVPR 2024 LEAP-VO: Long-Term Effective Any Point Tracking for Visual Odometry Weirong Chen, Le Chen, Rui Wang, Marc Pollefeys

CoRL 2024 RP1M: A Large-Scale Motion Dataset for Piano Playing with Bi-Manual Dexterous Robot Hands Yi Zhao, Le Chen, Jan Schneider, Quankai Gao, Juho Kannala, Bernhard Schölkopf, Joni Pajarinen, Dieter Büchler

NeurIPS 2023 PERFOGRAPH: A Numerical Aware Program Graph Representation for Performance Optimization and Program Analysis Ali TehraniJamsaz, Quazi Ishtiaque Mahmud, Le Chen, Nesreen K. Ahmed, Ali Jannesari

CoRL 2020 Learning Trajectories for Visual-Inertial System Calibration via Model-Based Heuristic Deep Reinforcement Learning Le Chen, Yunke Ao, Florian Tschopp, Andrei Cramariuc, Michel Breyer, Jen Jen Chung, Roland Siegwart, Cesar Cadena