| 2024 | ECCV | The Gaussian Discriminant Variational Autoencoder (GdVAE): A Self-explainable Model with Counterfactual Explanations. | Anselm Haselhoff, Kevin Trelenberg, Fabian Kppers, Jonas Schneider |
| 2024 | UAI | Quantifying Local Model Validity using Active Learning. | Sven Lmmle, Can Bogoclu, Robert Vosshall, Anselm Haselhoff, Dirk Roos |
| 2022 | ECCV | Parametric and Multivariate Uncertainty Calibration for Regression and Object Detection. | Fabian Kppers, Jonas Schneider, Anselm Haselhoff |
| 2021 | AAAI | From Black-box to White-box: Examining Confidence Calibration under different Conditions. | Franziska Schwaiger, Maximilian Henne, Fabian Kppers, Felippe Schmoeller Roza, Karsten Roscher, Anselm Haselhoff |
| 2021 | CVPR | Towards Black-Box Explainability With Gaussian Discriminant Knowledge Distillation. | Anselm Haselhoff, Jan Kronenberger, Fabian Kppers, Jonas Schneider |
| 2020 | CVPR | Multivariate Confidence Calibration for Object Detection. | Fabian Kppers, Jan Kronenberger, Amirhossein Shantia, Anselm Haselhoff |
| 2018 | ICANN | Do Capsule Networks Solve the Problem of Rotation Invariance for Traffic Sign Classification? | Jan Kronenberger, Anselm Haselhoff |