New approach learns interpretable equations from high-dimensional materials data
A new arXiv paper presents a neural equation-learning workflow designed to discover compact, interpretable equations from high-dimensional materials data, addressing gaps in existing equation-learning methods.
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- 2026-10-30 04:00 · arXiv cs.LG
Interpretable neural equation learning for high-dimensional materials data