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20222026
most citedDeep symbolic regression for physics guided by units constraints: toward the automated discovery of physical laws

112 citations · 151 across the 13 of their papers we have counts for

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math.NA2024★ 2 cited

Generalizing the SINDy approach with nested neural networks

Camilla Fiorini, Clément Flint, Louis Fostier +4

Symbolic Regression (SR) is a widely studied field of research that aims to infer symbolic expressions from data. A popular approach for SR is the Sparse Identification of Nonlinea…