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Research questionHow can symbolic regression decompose complex equations without relying on brute-force sub-expression search?Symbolic regression must recover interpretable mathematical expressions from data, but complex equations can resist decomposition into useful sub-expressions. Narrow decomposition strategies and exhaustive searches can make discovering those structures impractical.
AI
Machine Learning
Statistical Machine Learning
Latest papersRecent research connected to this question, newest first.Deep Divide-and-Reduce in Symbolic RegressionThe source concerns symbolic regression and extends AI Feynman-style expression decomposition. It reports broader decomposition applicability and improved downstream regression performance, while acknowledging limitations and scenarios where the paradigm applies; specific equations, datasets, and computational requirements are not provided.research paper · Sep 4, 2026
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