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Not Every Term Adds New Structure: Sobolev Novelty for Symbolic Regression
Symbolic regression (SR) aims to discover compact and meaningful mathematical equations from data, but searching the vast combinatorial space of symbolic structures remains challenging. Existing methods typically guide this process using expression-level objectives, such as fitting error, which asse
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