4 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…
Fast Calibrated Explanations: Efficient and Uncertainty-Aware Explanations for Machine Learning Models
Tuwe Löfström, Fatima Rabia Yapicioglu, Alessandra Stramiglio +2
This paper introduces Fast Calibrated Explanations, a method designed for generating rapid, uncertainty-aware explanations for machine learning models. By incorporating perturbatio…
Ensured: Explanations for Decreasing the Epistemic Uncertainty in Predictions
Helena Löfström, Tuwe Löfström, Johan Hallberg Szabadvary
This paper addresses a significant gap in explainable AI: the necessity of interpreting epistemic uncertainty in model explanations. Although current methods mainly focus on explai…