Jan Herrmann

Disentangled Explanations of Neural Network Predictions by Finding Relevant Subspaces

2022 · arXiv (Cornell University)

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 a heatmap identifying input features (e.g. pixels) that …