LIES, a fixed network with logarithm, identity, exponential, and sine activations, recovers exact symbolic formulas from AI Feynman benchmark data more often than comparison methods on a selected 61-equation subset.
Contemporary symbolic regression methods and their relative performance,
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Sparse Interpretable Deep Learning with LIES Networks for Symbolic Regression
LIES, a fixed network with logarithm, identity, exponential, and sine activations, recovers exact symbolic formulas from AI Feynman benchmark data more often than comparison methods on a selected 61-equation subset.