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

We present an improved method for symbolic regression that seeks to fit data
to formulas that are Pareto-optimal, in the sense of having the best accuracy
for a given complexity. It improves on the previous state-of-the-art by
typically being orders of ma… Read more

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