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2020 – today
- 2024
[c9]Pranav Jain
, Ziyin Qu, Peter Yichen Chen, Oded Stein:
Neural Monte Carlo Fluid Simulation. SIGGRAPH (Conference Paper Track) 2024: 9- [i12]Hrishikesh Viswanath, Yue Chang, Julius Berner, Peter Yichen Chen, Aniket Bera:
Reduced-Order Neural Operators: Learning Lagrangian Dynamics on Highly Sparse Graphs. CoRR abs/2407.03925 (2024) - [i11]Yue Chang, Otman Benchekroun, Maurizio M. Chiaramonte, Peter Yichen Chen, Eitan Grinspun:
Neural Representation of Shape-Dependent Laplacian Eigenfunctions. CoRR abs/2408.10099 (2024) - [i10]Peter Yichen Chen, Chao Liu, Pingchuan Ma, John Eastman, Daniela Rus, Dylan Randle, Yuri Ivanov, Wojciech Matusik:
Learning Object Properties Using Robot Proprioception via Differentiable Robot-Object Interaction. CoRR abs/2410.03920 (2024) - 2023
- [j2]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: 111908 (2023) - [c8]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 - [c7]Xuan Li, Yi-Ling Qiao, Peter Yichen Chen, Krishna Murthy Jatavallabhula, Ming C. Lin, Chenfanfu Jiang, Chuang Gan:
PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification. ICLR 2023 - [c6]Honglin Chen, Rundi Wu, Eitan Grinspun, Changxi Zheng, Peter Yichen Chen:
Implicit Neural Spatial Representations for Time-dependent PDEs. ICML 2023: 5162-5177 - [c5]Yichen Li, Peter Yichen Chen, Tao Du, Wojciech Matusik:
Learning Preconditioners for Conjugate Gradient PDE Solvers. ICML 2023: 19425-19439 - [c4]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: 23279-23300 - [c3]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: 78:1-78:11 - [c2]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: 111:1-111:12 - [i9]Xuan Li, Yi-Ling Qiao, Peter Yichen Chen, Krishna Murthy Jatavallabhula, Ming C. Lin, Chenfanfu Jiang, Chuang Gan:
PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification. CoRR abs/2303.05512 (2023) - [i8]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 abs/2304.14369 (2023) - [i7]Yichen Li, Peter Yichen Chen, Tao Du, Wojciech Matusik:
Learning Preconditioner for Conjugate Gradient PDE Solvers. CoRR abs/2305.16432 (2023) - [i6]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 abs/2307.14377 (2023) - [i5]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 abs/2310.15907 (2023) - [i4]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 abs/2310.17790 (2023) - 2022
- [b1]Peter Yichen Chen:
Multiscaling and Machine Learning Approaches to Physics Simulation. Columbia University, USA, 2022 - [i3]Peter Yichen Chen, Jinxu Xiang, Dong Heon Cho, G. A. Pershing, Henrique Teles Maia, Maurizio M. Chiaramonte, Kevin Carlberg, Eitan Grinspun:
CROM: Continuous Reduced-Order Modeling of PDEs Using Implicit Neural Representations. CoRR abs/2206.02607 (2022) - [i2]Honglin Chen, Rundi Wu, Eitan Grinspun, Changxi Zheng, Peter Yichen Chen:
Implicit Neural Spatial Representations for Time-dependent PDEs. CoRR abs/2210.00124 (2022) - 2021
- [c1]Peter Yichen Chen, Maurizio M. Chiaramonte, Eitan Grinspun, Kevin Carlberg:
Model Reduction for the Material Point Method on Nonlinear Manifolds Using Deep Learning. AAAI Spring Symposium: MLPS 2021 - [i1]Peter Yichen Chen, Maurizio M. Chiaramonte, Eitan Grinspun, Kevin Carlberg:
Model reduction for the material point method via learning the deformation map and its spatial-temporal gradients. CoRR abs/2109.12390 (2021)
2010 – 2019
- 2018
- [j1]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): 283 (2018)
Coauthor Index
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