Peter Yichen Chen

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 21

Top Topics

Conjugate Gradient

Photometric Properties

Top Venues

Publications

Hrishikesh Viswanath, Yue Chang, Julius Berner, Peter Yichen Chen, Aniket Bera
Reduced-Order Neural Operators: Learning Lagrangian Dynamics on Highly Sparse Graphs. CoRR (2024)
Pranav Jain, Ziyin Qu, Peter Yichen Chen, Oded Stein
Neural Monte Carlo Fluid Simulation. SIGGRAPH (Conference Paper Track) (2024)
Xuan Li, Yi-Ling Qiao, Peter Yichen Chen, Krishna Murthy Jatavallabhula, Ming Lin, Chenfanfu Jiang, Chuang Gan
PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification. CoRR (2023)
Peter Yichen Chen, Jinxu Xiang, Dong Heon Cho, Yue Chang, G. A. Pershing, Henrique Teles Maia, Maurizio M. Chiaramonte, Kevin T. Carlberg, Eitan Grinspun
CROM: Continuous Reduced-Order Modeling of PDEs Using Implicit Neural Representations. ICLR (2023)
Yue Chang, Peter Yichen Chen, Zhecheng Wang, Maurizio M. Chiaramonte, Kevin Carlberg, Eitan Grinspun
LiCROM: Linear-Subspace Continuous Reduced Order Modeling with Neural Fields. SIGGRAPH Asia (2023)
Peter Yichen Chen, Maurizio M. Chiaramonte, Eitan Grinspun, Kevin Carlberg
Model reduction for the material point method via an implicit neural representation of the deformation map. J. Comput. Phys. 478 (2023)
Pingchuan Ma, Peter Yichen Chen, Bolei Deng, Joshua B. Tenenbaum, Tao Du, Chuang Gan, Wojciech Matusik
Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics. ICML (2023)
Honglin Chen, Rundi Wu, Eitan Grinspun, Changxi Zheng, Peter Yichen Chen
Implicit Neural Spatial Representations for Time-dependent PDEs. ICML (2023)
Zeshun Zong, Xuan Li, Minchen Li, Maurizio M. Chiaramonte, Wojciech Matusik, Eitan Grinspun, Kevin Carlberg, Chenfanfu Jiang, Peter Yichen Chen
Neural Stress Fields for Reduced-order Elastoplasticity and Fracture. CoRR (2023)
Zeshun Zong, Xuan Li, Minchen Li, Maurizio M. Chiaramonte, Wojciech Matusik, Eitan Grinspun, Kevin Carlberg, Chenfanfu Jiang, Peter Yichen Chen
Neural Stress Fields for Reduced-order Elastoplasticity and Fracture. SIGGRAPH Asia (2023)
Yue Chang, Peter Yichen Chen, Zhecheng Wang, Maurizio M. Chiaramonte, Kevin Carlberg, Eitan Grinspun
LiCROM: Linear-Subspace Continuous Reduced Order Modeling with Neural Fields. CoRR (2023)
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
How Can Large Language Models Help Humans in Design and Manufacturing? CoRR (2023)
Yichen Li, Peter Yichen Chen, Tao Du, Wojciech Matusik
Learning Preconditioner for Conjugate Gradient PDE Solvers. CoRR (2023)
Yichen Li, Peter Yichen Chen, Tao Du, Wojciech Matusik
Learning Preconditioners for Conjugate Gradient PDE Solvers. ICML (2023)
Xuan Li, Yi-Ling Qiao, Peter Yichen Chen, Krishna Murthy Jatavallabhula, Ming Lin, Chenfanfu Jiang, Chuang Gan
PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification. ICLR (2023)
Pingchuan Ma, Peter Yichen Chen, Bolei Deng, Joshua B. Tenenbaum, Tao Du, Chuang Gan, Wojciech Matusik
Learning Neural Constitutive Laws From Motion Observations for Generalizable PDE Dynamics. CoRR (2023)
Peter Yichen Chen, Jinxu Xiang, Dong Heon Cho, G. A. Pershing, Henrique Teles Maia, Maurizio Chiaramonte, Kevin Carlberg, Eitan Grinspun
CROM: Continuous Reduced-Order Modeling of PDEs Using Implicit Neural Representations. CoRR (2022)
Honglin Chen, Rundi Wu, Eitan Grinspun, Changxi Zheng, Peter Yichen Chen
Implicit Neural Spatial Representations for Time-dependent PDEs. CoRR (2022)
Peter Yichen Chen, Maurizio Chiaramonte, Eitan Grinspun, Kevin Carlberg
Model Reduction for the Material Point Method on Nonlinear Manifolds Using Deep Learning. AAAI Spring Symposium: MLPS (2021)
Peter Yichen Chen, Maurizio Chiaramonte, Eitan Grinspun, Kevin Carlberg
Model reduction for the material point method via learning the deformation map and its spatial-temporal gradients. CoRR (2021)
Yonghao Yue, Breannan Smith, Peter Yichen Chen, Maytee Chantharayukhonthorn, Ken Kamrin, Eitan Grinspun
Hybrid grains: adaptive coupling of discrete and continuum simulations of granular media. ACM Trans. Graph. 37 (6) (2018)