Author

Yun-Tian Chen

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#machine learning Preprint Oct 2026

Learning to Design SR Solvers: Harness Optimization for Symbolic Regression

Symbolic regression (SR) seeks explicit equations that explain observed data, and recent methods increasingly employ large language models (LLMs) and agents for equation discovery. However, these systems typically rely on manually designed workflows and prompts. We argue that the SR agent harness should itself be an op...

Qian Li, Yu-Xiao Hu, Qi-Hao Duan et al. · 0 citations

#machine learning Open access Jul 2025

Capturing Unseen Spatial Heat Extremes Through Dependence‐Aware Generative Modeling

DeepX‐GAN (Dependence‐Enhanced Embedding for Physical eXtremes—Generative Adversarial Network) is introduced, a deep generative model that explicitly captures the spatial structure of rare extremes and enables the simulation of statistically plausible extremes beyond the observed record, evaluated against long climate...

Xin-Yue Liu, Xiao Peng, Shu-Yue Yan et al. · Earth's Future · 0 citations