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arXiv · 2203.08021

Interpretable machine learning in Physics

Christophe Grojean·Ayan Paul·Zhuoni Qian·Inga Strümke
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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.

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Christophe Grojean, Ayan Paul, Zhuoni Qian, Inga Strümke. 2022-03-11. Interpretable machine learning in Physics. https://doi.org/10.1038/s42254-022-00456-0

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