Random Forest on an Embedded Device for Real-time Machine State Classification. - Fabian Küppers; Jonas Albers; Anselm Haselhoff (EUSIPCO, 2019)

Multivariate Confidence Calibration for Object Detection. - Fabian Küppers; Jan Kronenberger; Amirhossein Shantia; Anselm Haselhoff (CVPR Workshops, 2020)

From Black-box to White-box: Examining Confidence Calibration under different Conditions. - Franziska Schwaiger; Maximilian Henne; Fabian Küppers; Felippe Schmoeller Roza; Karsten Roscher; Anselm Haselhoff (SafeAI@AAAI, 2021)

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)

Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety. - Sebastian Houben; Stephanie Abrecht; Maram Akila; Andreas Bär; Felix Brockherde; Patrick Feifel; Tim Fingscheidt; Sujan Sai Gannamaneni; Seyed Eghbal Ghobadi; Ahmed Hammam; Anselm Haselhoff; Felix Hauser; et al. (CoRR, 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)

Uncertainty Calibration and its Application to Object Detection. - Fabian Küppers (CoRR, 2023)

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)