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cs.LG2022★ 17 cited
Disentangled Explanations of Neural Network Predictions by Finding Relevant Subspaces
Pattarawat Chormai, Jan Herrmann, Klaus-Robert Müller +1
Explainable AI aims to overcome the black-box nature of complex ML models like neural networks by generating explanations for their predictions. Explanations often take the form of…
physics.data-an2022★ 18 cited
Bayesian Parameterization of Continuum Battery Models from Featurized Electrochemical Measurements Considering Noise
Yannick Kuhn, Hannes Wolf, Arnulf Latz +1
Physico-chemical continuum battery models are typically parameterized by manual fits, relying on the individual expertise of researchers. In this article, we introduce a computer a…