Jiequn Han - RankMe

66 papers A* 6C 1Journal 55Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deep Picard Iteration for High-Dimensional Nonlinear PDEs. SIAM J. Sci. Comput. Jiequn Han, Wei Hu, Jihao Long, Yue Zhao
2026	J	`jnl`	Robust Inference-Time Steering of Protein Diffusion Models via Embedding Optimization. CoRR Minhuan Li, Jiequn Han, Pilar Cossio, Luhuan Wu
2026	J	`jnl`	Test-time Generalization for Physics through Neural Operator Splitting. CoRR Louis Serrano, Jiequn Han, Edouard Oyallon, Shirley Ho, Rudy Morel
2025	J	`jnl`	A brief review of the Deep BSDE method for solving high-dimensional partial differential equations. CoRR Jiequn Han, Arnulf Jentzen, Weinan E
2025	A*	`conf`	DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction. ICML Rudy Morel, Jiequn Han, Edouard Oyallon
2025	J	`jnl`	DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction. CoRR Rudy Morel, Jiequn Han, Edouard Oyallon
2025	J	`jnl`	DriftLite: Lightweight Drift Control for Inference-Time Scaling of Diffusion Models. CoRR Yinuo Ren, Wenhao Gao, Lexing Ying, Grant M. Rotskoff, Jiequn Han
2025	J	`jnl`	Generative Modeling from Black-box Corruptions via Self-Consistent Stochastic Interpolants. CoRR Chirag Modi, Jiequn Han, Eric Vanden-Eijnden, Joan Bruna
2025	J	`jnl`	Instance-Wise Adaptive Sampling for Dataset Construction in Approximating Inverse Problem Solutions. CoRR Jiequn Han, Kui Ren, Nathan Soedjak
2025	C	`conf`	Learning Free Terminal Time Optimal Closed-loop Control of Manipulators. ACC Wei Hu, Yue Zhao, Weinan E, Jiequn Han, Jihao Long
2025	J	`jnl`	Neural operator-based super-fidelity: A warm-start approach for accelerating steady-state simulations. J. Comput. Phys. Xu-Hui Zhou, Jiequn Han, Muhammad I. Zafar, Eric M. Wolf, Christopher R. Schrock, Christopher J. Roy, Heng Xiao
2025	J	`jnl`	ReBaNO: Reduced Basis Neural Operator Mitigating Generalization Gaps and Achieving Discretization Invariance. CoRR Haolan Zheng, Yanlai Chen, Jiequn Han, Yue Yu
2025	J	`jnl`	Solving optimal control problems of rigid-body dynamics with collisions using the hybrid minimum principle. Commun. Nonlinear Sci. Numer. Simul. Wei Hu, Jihao Long, Yaohua Zang, Weinan E, Jiequn Han
2024	J	`jnl`	Deep Picard Iteration for High-Dimensional Nonlinear PDEs. CoRR Jiequn Han, Wei Hu, Jihao Long, Yue Zhao
2024	J	`jnl`	Learning High-Dimensional McKean-Vlasov Forward-Backward Stochastic Differential Equations with General Distribution Dependence. SIAM J. Numer. Anal. Jiequn Han, Ruimeng Hu, Jihao Long
2024	J	`jnl`	Posterior Sampling with Denoising Oracles via Tilted Transport. CoRR Joan Bruna, Jiequn Han
2024	A*	`conf`	Provable Posterior Sampling with Denoising Oracles via Tilted Transport. NeurIPS Joan Bruna, Jiequn Han
2024	A*	`conf`	Stochastic Optimal Control Matching. NeurIPS Carles Domingo-Enrich, Jiequn Han, Brandon Amos, Joan Bruna, Ricky T. Q. Chen
2023	J	`jnl`	A neural network warm-start approach for the inverse acoustic obstacle scattering problem. J. Comput. Phys. Mo Zhou, Jiequn Han, Manas Rachh, Carlos Borges
2023	J	`jnl`	An equivariant neural operator for developing nonlocal tensorial constitutive models. J. Comput. Phys. Jiequn Han, Xu-Hui Zhou, Heng Xiao
2023	—	`conf`	Improving Gradient Computation for Differentiable Physics Simulation with Contacts. L4DC Yaofeng Desmond Zhong, Jiequn Han, Biswadip Dey, Georgia Olympia Brikis
2023	J	`jnl`	Improving Gradient Computation for Differentiable Physics Simulation with Contacts. CoRR Yaofeng Desmond Zhong, Jiequn Han, Biswadip Dey, Georgia Olympia Brikis
2023	J	`jnl`	Learning Free Terminal Time Optimal Closed-loop Control of Manipulators. CoRR Wei Hu, Yue Zhao, Weinan E, Jiequn Han, Jihao Long
2023	J	`jnl`	Reinforcement Learning with Function Approximation: From Linear to Nonlinear. CoRR Jihao Long, Jiequn Han
2023	J	`jnl`	Stochastic Optimal Control Matching. CoRR Carles Domingo-Enrich, Jiequn Han, Brandon Amos, Joan Bruna, Ricky T. Q. Chen
2022	—	`conf`	A Machine Learning Enhanced Algorithm for the Optimal Landing Problem. MSML Yaohua Zang, Jihao Long, Xuanxi Zhang, Wei Hu, Weinan E, Jiequn Han
2022	J	`jnl`	A Neural Network Warm-Start Approach for the Inverse Acoustic Obstacle Scattering Problem. CoRR Mo Zhou, Jiequn Han, Manas Rachh, Carlos Borges
2022	J	`jnl`	Approximation and Optimization Theory for Linear Continuous-Time Recurrent Neural Networks. J. Mach. Learn. Res. Zhong Li, Jiequn Han, Weinan E, Qianxiao Li
2022	J	`jnl`	Differentiable Physics Simulations with Contacts: Do They Have Correct Gradients w.r.t. Position, Velocity and Control? CoRR Yaofeng Desmond Zhong, Jiequn Han, Georgia Olympia Brikis
2022	J	`jnl`	Learning High-Dimensional McKean-Vlasov Forward-Backward Stochastic Differential Equations with General Distribution Dependence. CoRR Jiequn Han, Ruimeng Hu, Jihao Long
2022	J	`jnl`	Offline Supervised Learning V.S. Online Direct Policy Optimization: A Comparative Study and A Unified Training Paradigm for Neural Network-Based Optimal Feedback Control. CoRR Yue Zhao, Jiequn Han
2022	J	`jnl`	Pandemic Control, Game Theory and Machine Learning. CoRR Yao Xuan, Robert Balkin, Jiequn Han, Ruimeng Hu, Héctor D. Ceniceros
2021	J	`jnl`	A Class of Dimensionality-free Metrics for the Convergence of Empirical Measures. CoRR Jiequn Han, Ruimeng Hu, Jihao Long
2021	J	`jnl`	Actor-Critic Method for High Dimensional Static Hamilton-Jacobi-Bellman Partial Differential Equations based on Neural Networks. CoRR Mo Zhou, Jiequn Han, Jianfeng Lu
2021	J	`jnl`	Actor-Critic Method for High Dimensional Static Hamilton-Jacobi-Bellman Partial Differential Equations based on Neural Networks. SIAM J. Sci. Comput. Mo Zhou, Jiequn Han, Jianfeng Lu
2021	J	`jnl`	An L CoRR Jihao Long, Jiequn Han, Weinan E
2021	J	`jnl`	DeepHAM: A Global Solution Method for Heterogeneous Agent Models with Aggregate Shocks. CoRR Jiequn Han, Yucheng Yang, Weinan E
2021	J	`jnl`	Frame invariance and scalability of neural operators for partial differential equations. CoRR Muhammad I. Zafar, Jiequn Han, Xu-Hui Zhou, Heng Xiao
2021	J	`jnl`	Frame-independent vector-cloud neural network for nonlocal constitutive modelling on arbitrary grids. CoRR Xu-Hui Zhou, Jiequn Han, Heng Xiao
2021	A*	`conf`	Global Convergence of Policy Gradient for Linear-Quadratic Mean-Field Control/Game in Continuous Time. ICML Weichen Wang, Jiequn Han, Zhuoran Yang, Zhaoran Wang
2021	A*	`conf`	On the Curse of Memory in Recurrent Neural Networks: Approximation and Optimization Analysis. ICLR Zhong Li, Jiequn Han, Weinan E, Qianxiao Li
2021	—	`conf`	Optimal Policies for a Pandemic: A Stochastic Game Approach and a Deep Learning Algorithm. MSML Yao Xuan, Robert Balkin, Jiequn Han, Ruimeng Hu, Héctor D. Ceniceros
2021	J	`jnl`	Perturbational Complexity by Distribution Mismatch: A Systematic Analysis of Reinforcement Learning in Reproducing Kernel Hilbert Space. CoRR Jihao Long, Jiequn Han
2021	J	`jnl`	Recurrent Neural Networks for Stochastic Control Problems with Delay. CoRR Jiequn Han, Ruimeng Hu
2021	J	`jnl`	Recurrent neural networks for stochastic control problems with delay. Math. Control. Signals Syst. Jiequn Han, Ruimeng Hu
2020	J	`jnl`	Algorithms for Solving High Dimensional PDEs: From Nonlinear Monte Carlo to Machine Learning. CoRR Weinan E, Jiequn Han, Arnulf Jentzen
2020	J	`jnl`	Convergence of Deep Fictitious Play for Stochastic Differential Games. CoRR Jiequn Han, Ruimeng Hu, Jihao Long
2020	—	`conf`	Deep Fictitious Play for Finding Markovian Nash Equilibrium in Multi-Agent Games. MSML Jiequn Han, Ruimeng Hu
2020	J	`jnl`	Integrating Machine Learning with Physics-Based Modeling. CoRR Weinan E, Jiequn Han, Linfeng Zhang
2020	J	`jnl`	On the Curse of Memory in Recurrent Neural Networks: Approximation and Optimization Analysis. CoRR Zhong Li, Jiequn Han, Weinan E, Qianxiao Li
2020	J	`jnl`	Optimal Policies for a Pandemic: A Stochastic Game Approach and a Deep Learning Algorithm. CoRR Yao Xuan, Robert Balkin, Jiequn Han, Ruimeng Hu, Héctor D. Ceniceros
2020	J	`jnl`	Perturbed gradient descent with occupation time. CoRR Xin Guo, Jiequn Han, Wenpin Tang
2020	J	`jnl`	Solving high-dimensional eigenvalue problems using deep neural networks: A diffusion Monte Carlo like approach. CoRR Jiequn Han, Jianfeng Lu, Mo Zhou
2020	J	`jnl`	Solving high-dimensional eigenvalue problems using deep neural networks: A diffusion Monte Carlo like approach. J. Comput. Phys. Jiequn Han, Jianfeng Lu, Mo Zhou
2019	J	`jnl`	Deep Fictitious Play for Finding Markovian Nash Equilibrium in Multi-Agent Games. CoRR Jiequn Han, Ruimeng Hu
2019	J	`jnl`	Solving many-electron Schrödinger equation using deep neural networks. J. Comput. Phys. Jiequn Han, Linfeng Zhang, Weinan E
2019	J	`jnl`	Universal approximation of symmetric and anti-symmetric functions. CoRR Jiequn Han, Yingzhou Li, Lin Lin, Jianfeng Lu, Jiefu Zhang, Linfeng Zhang
2018	J	`jnl`	A Mean-Field Optimal Control Formulation of Deep Learning. CoRR Weinan E, Jiequn Han, Qianxiao Li
2018	J	`jnl`	Convergence of the Deep BSDE Method for Coupled FBSDEs. CoRR Jiequn Han, Jihao Long
2018	J	`jnl`	DeePMD-kit: A deep learning package for many-body potential energy representation and molecular dynamics. Comput. Phys. Commun. Han Wang, Linfeng Zhang, Jiequn Han, Weinan E
2018	A*	`conf`	End-to-end Symmetry Preserving Inter-atomic Potential Energy Model for Finite and Extended Systems. NeurIPS Linfeng Zhang, Jiequn Han, Han Wang, Wissam Saidi, Roberto Car, Weinan E
2017	J	`jnl`	DeePMD-kit: A deep learning package for many-body potential energy representation and molecular dynamics. CoRR Han Wang, Linfeng Zhang, Jiequn Han, Weinan E
2017	J	`jnl`	Deep Potential Molecular Dynamics: a scalable model with the accuracy of quantum mechanics. CoRR Linfeng Zhang, Jiequn Han, Han Wang, Roberto Car, Weinan E
2017	J	`jnl`	Deep learning-based numerical methods for high-dimensional parabolic partial differential equations and backward stochastic differential equations. CoRR Weinan E, Jiequn Han, Arnulf Jentzen
2017	J	`jnl`	Overcoming the curse of dimensionality: Solving high-dimensional partial differential equations using deep learning. CoRR Jiequn Han, Arnulf Jentzen, Weinan E
2016	J	`jnl`	Deep Learning Approximation for Stochastic Control Problems. CoRR Jiequn Han, Weinan E