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06/03/2020
RODE-Net: Learning Ordinary Differential Equations with Randomness from Data
Random ordinary differential equations (RODEs), i.e. ODEs with random pa...
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05/27/2019
Learning to Discretize: Solving 1D Scalar Conservation Laws via Deep Reinforcement Learning
Conservation laws are considered to be fundamental laws of nature. It ha...
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11/30/2018
PDE-Net 2.0: Learning PDEs from Data with A Numeric-Symbolic Hybrid Deep Network
Partial differential equations (PDEs) are commonly derived based on empi...
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10/26/2017