Author

Wei-Jun Li

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Preprint Jul 2026

Deep Divide-and-Reduce in Symbolic Regression

Deep Divide-and-Reduce in Symbolic Regression (DDRSR) is proposed, a principled extension derived from a formal analysis of a broader class of decomposition structures that fundamentally broadens the applicability of expression decomposition and reduction and ensures both wider versatility and sound analytical groundin...

Yusong Deng, Yanjie Li, Weijun Li · 0 citations

#machine learning Preprint Jul 2026

Deep Divide-and-Reduce in Symbolic Regression

Symbolic regression (SR) is the task of discovering underlying patterns from data and representing them using mathematical expressions. Current machine learning approaches to SR often lack a profound understanding of the intrinsic mathematical and physical principles governing these expressions. While the pioneering AI...

Yusong Deng, Yanjie Li, Weijun Li · 0 citations