Niklas Penzel

According to our database, Niklas Penzel authored at least 13 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

FastCAV: Efficient Computation of Concept Activation Vectors for Explaining Deep Neural Networks.

Laines Schmalwasser, Niklas Penzel, Joachim Denzler, Julia Niebling

CoRR, May, 2025

Towards Locally Explaining Prediction Behavior via Gradual Interventions and Measuring Property Gradients.

Niklas Penzel, Joachim Denzler

CoRR, March, 2025

CausalRivers - Scaling up benchmarking of causal discovery for real-world time-series.

Gideon Stein, Maha Shadaydeh, Jan Blunk, Niklas Penzel, Joachim Denzler

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

When Medical Imaging Met Self-Attention: A Love Story That Didn't Quite Work out.

Tristan Piater, Niklas Penzel, Gideon Stein, Joachim Denzler

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

Reducing Bias in Pre-Trained Models by Tuning While Penalizing Change.

Niklas Penzel, Gideon Stein, Joachim Denzler

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

The Power of Properties: Uncovering the Influential Factors in Emotion Classification.

Tim Büchner, Niklas Penzel, Orlando Guntinas-Lichius, Joachim Denzler

Proceedings of the Pattern Recognition and Artificial Intelligence, 2024

2023

Interpreting Art by Leveraging Pre-Trained Models.

Niklas Penzel, Joachim Denzler

Proceedings of the 18th International Conference on Machine Vision and Applications, 2023

Analyzing the Behavior of Cauliflower Harvest-Readiness Models by Investigating Feature Relevances.

Niklas Penzel, Jana Kierdorf, Ribana Roscher, Joachim Denzler

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Beyond Debiasing: Actively Steering Feature Selection via Loss Regularization.

Jan Blunk, Niklas Penzel, Paul Bodesheim, Joachim Denzler

Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

2022

Investigating Neural Network Training on a Feature Level Using Conditional Independence.

Niklas Penzel, Christian Reimers, Paul Bodesheim, Joachim Denzler

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Facing Asymmetry - Uncovering the Causal Link Between Facial Symmetry and Expression Classifiers Using Synthetic Interventions.

Tim Büchner, Niklas Penzel, Orlando Guntinas-Lichius, Joachim Denzler

Proceedings of the Computer Vision - ACCV 2024, 2022

2021

Investigating the Consistency of Uncertainty Sampling in Deep Active Learning.

Niklas Penzel, Christian Reimers, Clemens-Alexander Brust, Joachim Denzler

Proceedings of the Pattern Recognition - 43rd DAGM German Conference, DAGM GCPR 2021, Bonn, Germany, September 28, 2021

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021