On Feature Relevance Uncertainty: A Monte Carlo Dropout Sampling Approach. - Kai Fabi; Jonas Schneider 004 (CoRR, 2020)

Towards Black-Box Explainability With Gaussian Discriminant Knowledge Distillation. - Anselm Haselhoff; Jan Kronenberger; Fabian Küppers; Jonas Schneider 004 (CVPR Workshops, 2021)

Bayesian Confidence Calibration for Epistemic Uncertainty Modelling. - Fabian Küppers; Jan Kronenberger; Jonas Schneider 004; Anselm Haselhoff (IV, 2021)

Parametric and Multivariate Uncertainty Calibration for Regression and Object Detection. - Fabian Küppers; Jonas Schneider 004; Anselm Haselhoff (ECCV Workshops (5), 2022)

Confidence Calibration for Object Detection and Segmentation. - Fabian Küppers; Anselm Haselhoff; Jan Kronenberger; Jonas Schneider 004 (CoRR, 2022)

The Gaussian Discriminant Variational Autoencoder (GdVAE): A Self-explainable Model with Counterfactual Explanations. - Anselm Haselhoff; Kevin Trelenberg; Fabian Küppers; Jonas Schneider 004 (ECCV (53), 2024)