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RODE-Net: Learning Ordinary Differential Equations with Randomness from Data


Jun 03, 2020
Junyu Liu, Zichao Long, Ranran Wang, Jie Sun, Bin Dong

* 11 pages, 6 figures, 3 tables 

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Learning to Discretize: Solving 1D Scalar Conservation Laws via Deep Reinforcement Learning


Jun 11, 2019
Yufei Wang, Ziju Shen, Zichao Long, Bin Dong

* submitted to NeurIPS 2019 

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PDE-Net 2.0: Learning PDEs from Data with A Numeric-Symbolic Hybrid Deep Network


Nov 30, 2018
Zichao Long, Yiping Lu, Bin Dong

* 16 pages, 15 figures. arXiv admin note: substantial text overlap with arXiv:1710.09668 

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PDE-Net: Learning PDEs from Data


Jan 01, 2018
Zichao Long, Yiping Lu, Xianzhong Ma, Bin Dong

* 15 pages, 13 figures 

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