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Peng Zeng

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Sep 2026

Differentiable Genetic Programming for High-dimensional Symbolic Regression.

DGP proposes a differentiable symbolic tree that relaxes the discrete structure of GP trees to a continuous representation, thus allowing for efficient gradient based optimization, and designs a sampling strategy that ensures structural validity and introduces a di versification mechanism to escape local optima and enh...

Xiao-Tian Song, Peng Zeng, Andrew Lensen et al. · 0 citations

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