proceedings.mlr.press/v202/ma23a/ma23a.pdf
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Learning Neural Constitutive Laws From Motion Observations for Generalizable PDE Dynamics Pingchuan Ma 1 Peter Yichen Chen 1 Bolei Deng 1 Joshua B. Tenenbaum 1 2 3 Tao Du 4 5 Chuang Gan 6 7 Wojciech Matusik 1 Abstract 1. Introduction We propose a hybrid neural network (NN) and Partial-differential-equation-governed dynamical systems PDE approach for learning generalizable PDE are ubiquitous in physical,…
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