7 citations · 7 across the 3 of their papers we have counts for
3 papers
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…
When Explanations Compete: Policy-Aware Selection Under Uncertainty
Helena Löfström, Tuwe Löfström, Johan Hallberg Szabadvary
Uncertainty-aware explanation methods often produce several alternatives for the same prediction. Selecting among them requires a policy for balancing prediction confidence, uncert…
Beyond Conformal Predictors: Adaptive Conformal Inference with Confidence Predictors
Johan Hallberg Szabadváry, Tuwe Löfström
Adaptive Conformal Inference (ACI) provides finite-sample coverage guarantees, enhancing the prediction reliability under non-exchangeability. This study demonstrates that these de…