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Jian-Cheng Lv

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Sep 2026

Differentiable Genetic Programming for High-dimensional Symbolic Regression.

Symbolic Regression (SR) aims to uncover hidden relationships within data by generating mathematical expressions, offering a pathway toward interpretable machine learning. Genetic Programming (GP) has traditionally dominated SR due to its flexibility in evolving expression trees. However, as the dimensionality of SR pr...

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

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