Symbolic rational-function networks recover an admissible PDE from noiseless complete measurements and select the regularization-minimizing parameterization within the architecture.
2023 Combining data and theory for derivable scientific discovery with AI-Descartes.Nature Communications14
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Symbolic regression provides an interpretable way to extract mathematical relationships from data for scientific discovery and surrogate modeling in the physical sciences.
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Symbolic recovery of PDEs from measurement data
Symbolic rational-function networks recover an admissible PDE from noiseless complete measurements and select the regularization-minimizing parameterization within the architecture.
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Introduction to Symbolic Regression in the Physical Sciences
Symbolic regression provides an interpretable way to extract mathematical relationships from data for scientific discovery and surrogate modeling in the physical sciences.