Peter Yichen Chen

40 papers A* 10Journal 25Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Factorized Neural Implicit DMD for Parametric Dynamics. CoRR Siyuan Chen, Zhecheng Wang, Yixin Chen, Yue Chang, Peter Yichen Chen, Eitan Grinspun, Jonathan Panuelos
2026	J	`jnl`	Learning Lagrangian Interaction Dynamics with Sampling-Based Model Order Reduction. Trans. Mach. Learn. Res. Hrishikesh Viswanath, Yue Chang, Aleksey Panas, Julius Berner, Peter Yichen Chen, Aniket Bera
2026	J	`jnl`	Low-Rank Koopman Deformables with Log-Linear Time Integration. CoRR Yue Chang, Peter Yichen Chen, Eitan Grinspun, Maurizio M. Chiaramonte
2026	J	`jnl`	M-ABD: Scalable, Efficient, and Robust Multi-Affine-Body Dynamics. CoRR Zhiyong He, Dewen Guo, Minghao Guo, Yili Zhao, Wojciech Matusik, Hao Su, Chenfanfu Jiang, Peter Yichen Chen, Yin Yang
2026	J	`jnl`	PhysSkin: Real-Time and Generalizable Physics-Based Animation via Self-Supervised Neural Skinning. CoRR Yuanhang Lei, Tao Cheng, Xingxuan Li, Boming Zhao, Siyuan Huang, Ruizhen Hu, Peter Yichen Chen, Hujun Bao, Zhaopeng Cui
2025	A*	`conf`	AI-Enhanced Automatic Design of Efficient Underwater Gliders. ICRA Peter Yichen Chen, Pingchuan Ma, Niklas Hagemann, John Romanishin, Wei Wang, Daniela Rus, Wojciech Matusik
2025	J	`jnl`	AI-Enhanced Automatic Design of Efficient Underwater Gliders. CoRR Peter Yichen Chen, Pingchuan Ma, Niklas Hagemann, John Romanishin, Wei Wang, Daniela Rus, Wojciech Matusik
2025	—	`conf`	Graphics4Science: Computer Graphics for Scientific Impacts. SIGGRAPH Courses Peter Yichen Chen, Minghao Guo, Hanspeter Pfister, Ming C. Lin, William T. Freeman, Qixing Huang, Han-Wei Shen, Wojciech Matusik
2025	J	`jnl`	Graphics4Science: Computer Graphics for Scientific Impacts. CoRR Peter Yichen Chen, Minghao Guo, Hanspeter Pfister, Ming C. Lin, William T. Freeman, Qixing Huang, Han-Wei Shen, Wojciech Matusik
2025	A*	`conf`	Learning Object Properties Using Robot Proprioception via Differentiable Robot-Object Interaction. ICRA Peter Yichen Chen, Chao Liu, Pingchuan Ma, John Eastman, Daniela Rus, Dylan Randle, Yuri Ivanov, Wojciech Matusik
2025	—	`conf`	Lifting the Winding Number: Precise Discontinuities in Neural Fields for Physics Simulation. SIGGRAPH (Conference Paper Track) Yue Chang, Mengfei Liu, Zhecheng Wang, Peter Yichen Chen, Eitan Grinspun
2025	J	`jnl`	Lifting the Winding Number: Precise Representation of Complex Cuts in Subspace Physics Simulations. CoRR Yue Chang, Mengfei Liu, Zhecheng Wang, Peter Yichen Chen, Eitan Grinspun
2025	J	`jnl`	Physically Valid Biomolecular Interaction Modeling with Gauss-Seidel Projection. CoRR Siyuan Chen, Minghao Guo, Caoliwen Wang, Anka He Chen, Yikun Zhang, Jingjing Chai, Yin Yang, Wojciech Matusik, Peter Yichen Chen
2025	A*	`conf`	Precise Gradient Discontinuities in Neural Fields for Subspace Physics. SIGGRAPH Asia Mengfei Liu, Yue Chang, Zhecheng Wang, Peter Yichen Chen, Eitan Grinspun
2025	J	`jnl`	Precise Gradient Discontinuities in Neural Fields for Subspace Physics. CoRR Mengfei Liu, Yue Chang, Zhecheng Wang, Peter Yichen Chen, Eitan Grinspun
2025	J	`jnl`	Shape Space Spectra. ACM Trans. Graph. Yue Chang, Otman Benchekroun, Maurizio M. Chiaramonte, Peter Yichen Chen, Eitan Grinspun
2024	J	`jnl`	Learning Object Properties Using Robot Proprioception via Differentiable Robot-Object Interaction. CoRR Peter Yichen Chen, Chao Liu, Pingchuan Ma, John Eastman, Daniela Rus, Dylan Randle, Yuri Ivanov, Wojciech Matusik
2024	—	`conf`	Neural Monte Carlo Fluid Simulation. SIGGRAPH (Conference Paper Track) Pranav Jain, Ziyin Qu, Peter Yichen Chen, Oded Stein
2024	J	`jnl`	Neural Representation of Shape-Dependent Laplacian Eigenfunctions. CoRR Yue Chang, Otman Benchekroun, Maurizio M. Chiaramonte, Peter Yichen Chen, Eitan Grinspun
2024	J	`jnl`	Reduced-Order Neural Operators: Learning Lagrangian Dynamics on Highly Sparse Graphs. CoRR Hrishikesh Viswanath, Yue Chang, Julius Berner, Peter Yichen Chen, Aniket Bera
2023	A*	`conf`	CROM: Continuous Reduced-Order Modeling of PDEs Using Implicit Neural Representations. ICLR Peter Yichen Chen, Jinxu Xiang, Dong Heon Cho, Yue Chang, G. A. Pershing, Henrique Teles Maia, Maurizio M. Chiaramonte, Kevin T. Carlberg, Eitan Grinspun
2023	J	`jnl`	How Can Large Language Models Help Humans in Design and Manufacturing? CoRR Liane Makatura, Michael Foshey, Bohan Wang, Felix Hähnlein, Pingchuan Ma, Bolei Deng, Megan Tjandrasuwita, Andrew Spielberg, Crystal Elaine Owens, Peter Yichen Chen, Allan Zhao, Amy Zhu, Wil J. Norton, Edward Gu, Joshua Jacob, Yifei Li, Adriana Schulz, Wojciech Matusik
2023	A*	`conf`	Implicit Neural Spatial Representations for Time-dependent PDEs. ICML Honglin Chen, Rundi Wu, Eitan Grinspun, Changxi Zheng, Peter Yichen Chen
2023	J	`jnl`	Learning Neural Constitutive Laws From Motion Observations for Generalizable PDE Dynamics. CoRR Pingchuan Ma, Peter Yichen Chen, Bolei Deng, Joshua B. Tenenbaum, Tao Du, Chuang Gan, Wojciech Matusik
2023	A*	`conf`	Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics. ICML Pingchuan Ma, Peter Yichen Chen, Bolei Deng, Joshua B. Tenenbaum, Tao Du, Chuang Gan, Wojciech Matusik
2023	J	`jnl`	Learning Preconditioner for Conjugate Gradient PDE Solvers. CoRR Yichen Li, Peter Yichen Chen, Tao Du, Wojciech Matusik
2023	A*	`conf`	Learning Preconditioners for Conjugate Gradient PDE Solvers. ICML Yichen Li, Peter Yichen Chen, Tao Du, Wojciech Matusik
2023	A*	`conf`	LiCROM: Linear-Subspace Continuous Reduced Order Modeling with Neural Fields. SIGGRAPH Asia Yue Chang, Peter Yichen Chen, Zhecheng Wang, Maurizio M. Chiaramonte, Kevin Carlberg, Eitan Grinspun
2023	J	`jnl`	LiCROM: Linear-Subspace Continuous Reduced Order Modeling with Neural Fields. CoRR Yue Chang, Peter Yichen Chen, Zhecheng Wang, Maurizio M. Chiaramonte, Kevin Carlberg, Eitan Grinspun
2023	J	`jnl`	Model reduction for the material point method via an implicit neural representation of the deformation map. J. Comput. Phys. Peter Yichen Chen, Maurizio M. Chiaramonte, Eitan Grinspun, Kevin Carlberg
2023	A*	`conf`	Neural Stress Fields for Reduced-order Elastoplasticity and Fracture. SIGGRAPH Asia Zeshun Zong, Xuan Li, Minchen Li, Maurizio M. Chiaramonte, Wojciech Matusik, Eitan Grinspun, Kevin Carlberg, Chenfanfu Jiang, Peter Yichen Chen
2023	J	`jnl`	Neural Stress Fields for Reduced-order Elastoplasticity and Fracture. CoRR Zeshun Zong, Xuan Li, Minchen Li, Maurizio M. Chiaramonte, Wojciech Matusik, Eitan Grinspun, Kevin Carlberg, Chenfanfu Jiang, Peter Yichen Chen
2023	A*	`conf`	PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification. ICLR Xuan Li, Yi-Ling Qiao, Peter Yichen Chen, Krishna Murthy Jatavallabhula, Ming Lin, Chenfanfu Jiang, Chuang Gan
2023	J	`jnl`	PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification. CoRR Xuan Li, Yi-Ling Qiao, Peter Yichen Chen, Krishna Murthy Jatavallabhula, Ming Lin, Chenfanfu Jiang, Chuang Gan
2022	J	`jnl`	CROM: Continuous Reduced-Order Modeling of PDEs Using Implicit Neural Representations. CoRR Peter Yichen Chen, Jinxu Xiang, Dong Heon Cho, Yue Chang, G. A. Pershing, Henrique Teles Maia, Maurizio M. Chiaramonte, Kevin Carlberg, Eitan Grinspun
2022	J	`jnl`	Implicit Neural Spatial Representations for Time-dependent PDEs. CoRR Honglin Chen, Rundi Wu, Eitan Grinspun, Changxi Zheng, Peter Yichen Chen
2022	—	`—`	Multiscaling and Machine Learning Approaches to Physics Simulation Peter Yichen Chen
2021	—	`conf`	Model Reduction for the Material Point Method on Nonlinear Manifolds Using Deep Learning. AAAI Spring Symposium: MLPS Peter Yichen Chen, Maurizio M. Chiaramonte, Eitan Grinspun, Kevin Carlberg
2021	J	`jnl`	Model reduction for the material point method via learning the deformation map and its spatial-temporal gradients. CoRR Peter Yichen Chen, Maurizio M. Chiaramonte, Eitan Grinspun, Kevin Carlberg
2018	J	`jnl`	Hybrid grains: adaptive coupling of discrete and continuum simulations of granular media. ACM Trans. Graph. Yonghao Yue, Breannan Smith, Peter Yichen Chen, Maytee Chantharayukhonthorn, Ken Kamrin, Eitan Grinspun