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20132026
most citedIntegration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery

216 citations · 379 across the 13 of their papers we have counts for

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Showing 2022Show all

2 papers · 1 filter

physics.comp-ph2022★ 26 cited

Discovering Conservation Laws using Optimal Transport and Manifold Learning

Peter Y. Lu, Rumen Dangovski, Marin Soljačić

Conservation laws are key theoretical and practical tools for understanding, characterizing, and modeling nonlinear dynamical systems. However, for many complex systems, the corres…

cs.LG2022★ 6 cited

Deep Learning and Symbolic Regression for Discovering Parametric Equations

Michael Zhang, Samuel Kim, Peter Y. Lu +1

Symbolic regression is a machine learning technique that can learn the governing formulas of data and thus has the potential to transform scientific discovery. However, symbolic re…