arXiv:2203.08021·v3·High Energy Physics — Phenomenology
Interpretable machine learning in Physics
Christophe Grojean🇩🇪 · Ayan Paul🇩🇪 · Zhuoni Qian🇨🇳 · Inga Strümke🇳🇴
Abstract
Adding interpretability to multivariate methods creates a powerful synergy for exploring complex physical systems with higher order correlations while bringing about a degree of clarity in the underlying dynamics of the system.
Comments: Submitted version of invited Comment Article for Nature Reviews Physics (2022)