Symbolic regression for physics laws

Layer 1 — Physicsin the machine-learning-physics subtree

Schmidt-Lipson 2009 'Distilling Free-Form Natural Laws'; Cranmer 2020 PySR. Discover symbolic equations from data via genetic-programming or neural-net + sparsity. Re-discovers Newton's laws / Hamiltonian.

Related concepts

Explore Symbolic regression for physics laws on the interactive knowledge graph →