| 2026 | WACV | Locally Explaining Prediction Behavior via Gradual Interventions and Measuring Property Gradients. | Niklas Penzel, Joachim Denzler |
| 2025 | ICLR | CausalRivers - Scaling up benchmarking of causal discovery for real-world time-series. | Gideon Stein, Maha Shadaydeh, Jan Blunk, Niklas Penzel, Joachim Denzler |
| 2025 | ICML | FastCAV: Efficient Computation of Concept Activation Vectors for Explaining Deep Neural Networks. | Laines Schmalwasser, Niklas Penzel, Joachim Denzler, Julia Niebling |
| 2025 | MVA | Modifying Generative Distributions in Latent Diffusion Models to Improve Alignment with Desired Properties. | Sven Sickert, Maria Gogolev, Niklas Penzel, Tim Bchner, Joachim Denzler |
| 2024 | VISIGRAPP | Reducing Bias in Pre-Trained Models by Tuning While Penalizing Change. | Niklas Penzel, Gideon Stein, Joachim Denzler |
| 2024 | VISIGRAPP | When Medical Imaging Met Self-Attention: A Love Story That Didn't Quite Work out. | Tristan Piater, Niklas Penzel, Gideon Stein, Joachim Denzler |
| 2023 | MVA | Interpreting Art by Leveraging Pre-Trained Models. | Niklas Penzel, Joachim Denzler |
| 2022 | ACCV | Facing Asymmetry - Uncovering the Causal Link Between Facial Symmetry and Expression Classifiers Using Synthetic Interventions. | Tim Bchner, Niklas Penzel, Orlando Guntinas-Lichius, Joachim Denzler |
| 2022 | ECCV | Investigating Neural Network Training on a Feature Level Using Conditional Independence. | Niklas Penzel, Christian Reimers, Paul Bodesheim, Joachim Denzler |
| 2021 | CVPR | Conditional Dependence Tests Reveal the Usage of ABCD Rule Features and Bias Variables in Automatic Skin Lesion Classification. | Christian Reimers, Niklas Penzel, Paul Bodesheim, Jakob Runge, Joachim Denzler |