Chen, Peter Yichen

7 publications

TMLR 2026 Learning Lagrangian Interaction Dynamics with Sampling-Based Model Order Reduction Hrishikesh Viswanath, Yue Chang, Aleksey Panas, Julius Berner, Peter Yichen Chen, Aniket Bera

ICLR 2026 Physically Valid Biomolecular Interaction Modeling with Gauss-Seidel Projection Siyuan Chen, Minghao Guo, Caoliwen Wang, Anka He Chen, Yikun Zhang, Jingjing Chai, Yin Yang, Wojciech Matusik, Peter Yichen Chen

ICLR 2023 CROM: Continuous Reduced-Order Modeling of PDEs Using Implicit Neural Representations Peter Yichen Chen, Jinxu Xiang, Dong Heon Cho, Yue Chang, G A Pershing, Henrique Teles Maia, Maurizio M Chiaramonte, Kevin Thomas Carlberg, Eitan Grinspun

ICML 2023 Implicit Neural Spatial Representations for Time-Dependent PDEs Honglin Chen, Rundi Wu, Eitan Grinspun, Changxi Zheng, Peter Yichen Chen

ICML 2023 Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics Pingchuan Ma, Peter Yichen Chen, Bolei Deng, Joshua B. Tenenbaum, Tao Du, Chuang Gan, Wojciech Matusik

ICML 2023 Learning Preconditioners for Conjugate Gradient PDE Solvers Yichen Li, Peter Yichen Chen, Tao Du, Wojciech Matusik

ICLR 2023 PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification Xuan Li, Yi-Ling Qiao, Peter Yichen Chen, Krishna Murthy Jatavallabhula, Ming Lin, Chenfanfu Jiang, Chuang Gan