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most citedDISCOVER: Deep identification of symbolically concise open-form PDEs via enhanced reinforcement-learning

2 citations · 5 across the 8 of their papers we have counts for

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cs.LG2025

Generative Discovery of Partial Differential Equations by Learning from Math Handbooks

Hao Xu, Yuntian Chen, Rui Cao +5

Data driven discovery of partial differential equations (PDEs) is a promising approach for uncovering the underlying laws governing complex systems. However, purely data driven tec…