Interpretable machine learning in Physics. (arXiv:2203.08021v3 [hep-ph] UPDATED)

Web: http://arxiv.org/abs/2203.08021

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.

arxiv learning machine machine learning physics