Han, Jiequn

9 publications

ICML 2025 DISCO: Learning to DISCover an Evolution Operator for Multi-Physics-Agnostic Prediction Rudy Morel, Jiequn Han, Edouard Oyallon

NeurIPS 2024 Provable Posterior Sampling with Denoising Oracles via Tilted Transport Joan Bruna, Jiequn Han

NeurIPS 2024 Stochastic Optimal Control Matching Carles Domingo-Enrich, Jiequn Han, Brandon Amos, Joan Bruna, Ricky T. Q. Chen

L4DC 2023 Improving Gradient Computation for Differentiable Physics Simulation with Contacts Yaofeng Desmond Zhong, Jiequn Han, Biswadip Dey, Georgia Olympia Brikis

JMLR 2022 Approximation and Optimization Theory for Linear Continuous-Time Recurrent Neural Networks Zhong Li, Jiequn Han, Weinan E, Qianxiao Li

ICMLW 2022 Differentiable Physics Simulations with Contacts: Do They Have Correct Gradients W.r.t. Position, Velocity and Control? Yaofeng Desmond Zhong, Jiequn Han, Georgia Olympia Brikis

ICML 2021 Global Convergence of Policy Gradient for Linear-Quadratic Mean-Field Control/Game in Continuous Time Weichen Wang, Jiequn Han, Zhuoran Yang, Zhaoran Wang

ICLR 2021 On the Curse of Memory in Recurrent Neural Networks: Approximation and Optimization Analysis Zhong Li, Jiequn Han, Weinan E, Qianxiao Li

NeurIPS 2018 End-to-End Symmetry Preserving Inter-Atomic Potential Energy Model for Finite and Extended Systems Linfeng Zhang, Jiequn Han, Han Wang, Wissam Saidi, Roberto Car, Weinan E