AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity

Neural Information Processing Systems 

We develop a method for discovering generalized symmetries (arbitrary modularity in the computational graph of a formula) from gradient properties of a neural network fit.

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