1 citations · 2 across the 3 of their papers we have counts for
3 papers
ConformaDecompose: Explaining Uncertainty via Calibration Localization
Fatima Rabia Yapicioglu, Meltem Aksoy, Alberto Rigenti +4
Conformal Prediction provides distribution-free prediction intervals with guaranteed coverage, but its reliance on a single global calibration threshold obscures the sources of unc…
Concerning Uncertainty -- A Systematic Survey of Uncertainty-Aware XAI
Helena Löfström, Tuwe Löfström, Anders Hjort +1
This paper surveys uncertainty-aware explainable artificial intelligence (UAXAI), examining how uncertainty is incorporated into explanatory pipelines and how such methods are eval…
Classification with Reject Option: Distribution-free Error Guarantees via Conformal Prediction
Johan Hallberg Szabadváry, Tuwe Löfström, Ulf Johansson +3
Machine learning (ML) models always make a prediction, even when they are likely to be wrong. This causes problems in practical applications, as we do not know if we should trust a…