2025
Input Uncertainty Attribution by Uncertainty Propagation
Benedikt Kantz, Sophie Steger, Clemens Staudinger, Christoph Feilmayr, Johannes Wachlmayr, Alexander Haberl +2
ICASSP 2025accepted
Attributing uncertainties to the input space elevates the trustworthiness and explainability of machine learning applications. This paper proposes a novel method called Smoothness Constrained Attribution (SCA), which uses the uncertainty propagation mechanism to propagate the output uncertainty back…