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20172024
most citedPDE-Net 2.0: Learning PDEs from Data with A Numeric-Symbolic Hybrid Deep Network

565 citations · 777 across the 5 of their papers we have counts for

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Showing 2019Show all

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cs.LG2019★ 5 cited

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

Yufei Wang, Ziju Shen, Zichao Long +1

Conservation laws are considered to be fundamental laws of nature. It has broad applications in many fields, including physics, chemistry, biology, geology, and engineering. Solvin…