Paper ID: 2203.08021

Interpretable machine learning in Physics

Christophe Grojean, Ayan Paul, Zhuoni Qian, Inga Strümke

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.

Submitted: Mar 11, 2022