Publications

  1. Learning Object Properties Using Robot Proprioception via Differentiable Robot-Object Interaction
    Peter Yichen Chen, Chao Liu, Pingchuan Ma, John Eastman, Daniela Rus, Dylan Randle, Yuri Ivanov, Wojciech Matusik
    arXiv 2024
    PDF
  2. Warp: Differentiable Spatial Computing for Python
    Miles Macklin, Nicolas Capens, Zeshun Zong, Pingchuan Ma, Peter Yichen Chen, Gergely Klar
    SIGGRAPH Courses 2024
    PDF
  3. How Can Large Language Models Help Humans in Design and Manufacturing?
    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
    Harvard Data Science Review (HDSR) 2024
    Project Webpage
  4. Neural Monte Carlo Fluid Simulation
    Pranav Jain, Ziyin Qu, Peter Yichen Chen, Oded Stein
    SIGGRAPH 2024
    Project Webpage
  1. LiCROM: Linear-Subspace Continuous Reduced Order Modeling with Neural Fields
    Chang Yue, Peter Yichen Chen+, Maurizio Chiaramonte, Kevin Carlberg, Eitan Grinspun+
    SIGGRAPH ASIA 2023
    Project Webpage PDF
  2. Neural Stress Fields for Reduced-order Elastoplasticity and Fracture
    Zeshun Zong, Xuan Li, Minchen Li, Wojciech Matusik, Eitan Grinspun, Maurizio Chiaramonte, Kevin Carlberg, Chenfanfu Jiang, Peter Yichen Chen
    SIGGRAPH ASIA 2023
    Project Webpage PDF
  3. Learning Preconditioner for Conjugate Gradient PDE Solvers
    Yichen Li, Peter Yichen Chen, Tao Du, Wojciech Matusik
    International Conference on Machine Learning (ICML) 2023
    Project Webpage PDF
  4. Implicit Neural Spatial Representations for Time-dependent PDEs
    Honglin Chen*, Rundi Wu*, Eitan Grinspun, Changxi Zheng, Peter Yichen Chen
    International Conference on Machine Learning (ICML) 2023
    Project Webpage PDF
  5. 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
    International Conference on Machine Learning (ICML) 2023
    Project Webpage PDF
  6. 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
    International Conference on Learning Representations (ICLR) 2023 (notable-top-25%)
    Project Webpage PDF
  7. 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
    International Conference on Learning Representations (ICLR) 2023 (notable-top-25%)
    Project Webpage
  8. Model reduction for the material point method via an implicit neural representation of the deformation map
    Peter Yichen Chen, Maurizio Chiaramonte, Eitan Grinspun, Kevin Carlberg
    Journal of Computational Physics (JCP) 2023
    PDF
    1. Hybrid discrete-continuum modeling of shear localization in granular media
      Peter Yichen Chen, Maytee Chantharayukhonthorn, Yonghao Yue, Eitan Grinspun, Ken Kamrin
      Journal of the Mechanics and Physics of Solids (JMPS) 2021
      PDF
      1. Visual modeling of laser-induced dough browning
        Peter Yichen Chen, Jonathan David Blutinger, Yorán Meijers, Changxi Zheng, Eitan Grinspun, Hod Lipson
        Journal of food engineering 2019
        PDF
      2. Characterization of CO2 laser browning of dough
        Jonathan David Blutinger, Yorán Meijers, Peter Yichen Chen, Changxi Zheng, Eitan Grinspun, Hod Lipson
        Innovative Food Science & Emerging Technologies 2019
        PDF
      1. Hybrid grains: adaptive coupling of discrete and continuum simulations of granular media
        Yonghao Yue*, Breannan Smith*, Peter Yichen Chen*, Maytee Chantharayukhonthorn*, Ken Kamrin, Eitan Grinspun
        ACM Transactions on Graphics (TOG), Presented at SIGGRAPH ASIA 2018
        Project Webpage PDF Video Code Two Minute Papers
      2. Characterization of dough baked via blue laser
        Jonathan David Blutinger, Yorán Meijers, Peter Yichen Chen, Changxi Zheng, Eitan Grinspun, Hod Lipson
        Journal of food engineering 2018
        PDF
      1. Multiscaling and Machine Learning Approaches to Physics Simulation
        Peter Yichen Chen
        Committee: Eitan Grinspun, Ken Kamrin, Changxi Zheng, Steve Waiching Sun, Hod Lipson
        Project Webpage Defense Recording