Niklas Penzel

22 papers A* 2Misc 2Journal 9Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Model utility and explainability in federated learning - A case study in healthcare using fundus oculi datasets.
J. Biomed. Informatics
Niklas Penzel, Daniel Scheliga, Hannes Oppermann, Patrick Mäder, Jens Haueisen, Joachim Denzler, Marco Seeland
2025 A* conf
CausalRivers - Scaling up benchmarking of causal discovery for real-world time-series.
ICLR
Gideon Stein, Maha Shadaydeh, Jan Blunk, Niklas Penzel, Joachim Denzler
2025 J jnl
CausalRivers - Scaling up benchmarking of causal discovery for real-world time-series.
CoRR
Gideon Stein, Maha Shadaydeh, Jan Blunk, Niklas Penzel, Joachim Denzler
2025 A* conf
FastCAV: Efficient Computation of Concept Activation Vectors for Explaining Deep Neural Networks.
ICML
Laines Schmalwasser, Niklas Penzel, Joachim Denzler, Julia Niebling
2025 J jnl
FastCAV: Efficient Computation of Concept Activation Vectors for Explaining Deep Neural Networks.
CoRR
Laines Schmalwasser, Niklas Penzel, Joachim Denzler, Julia Niebling
2025 J jnl
Modeling COVID-19 Dynamics in German States Using Physics-Informed Neural Networks.
CoRR
Phillip Rothenbeck, Sai Karthikeya Vemuri, Niklas Penzel, Joachim Denzler
2025 Misc conf
Modifying Generative Distributions in Latent Diffusion Models to Improve Alignment with Desired Properties.
MVA
Sven Sickert, Maria Gogolev, Niklas Penzel, Tim Büchner, Joachim Denzler
2025 J jnl
Towards Locally Explaining Prediction Behavior via Gradual Interventions and Measuring Property Gradients.
CoRR
Niklas Penzel, Joachim Denzler
2024 J jnl
Facing Asymmetry - Uncovering the Causal Link between Facial Symmetry and Expression Classifiers using Synthetic Interventions.
CoRR
Tim Büchner, Niklas Penzel, Orlando Guntinas-Lichius, Joachim Denzler
2024 — conf
Reducing Bias in Pre-Trained Models by Tuning While Penalizing Change.
VISIGRAPP (2): VISAPP
Niklas Penzel, Gideon Stein, Joachim Denzler
2024 J jnl
Reducing Bias in Pre-trained Models by Tuning while Penalizing Change.
CoRR
Niklas Penzel, Gideon Stein, Joachim Denzler
2024 — conf
The Power of Properties: Uncovering the Influential Factors in Emotion Classification.
ICPRAI (2)
Tim Büchner, Niklas Penzel, Orlando Guntinas-Lichius, Joachim Denzler
2024 J jnl
The Power of Properties: Uncovering the Influential Factors in Emotion Classification.
CoRR
Tim Büchner, Niklas Penzel, Orlando Guntinas-Lichius, Joachim Denzler
2024 J jnl
When Medical Imaging Met Self-Attention: A Love Story That Didn't Quite Work Out.
CoRR
Tristan Piater, Niklas Penzel, Gideon Stein, Joachim Denzler
2024 — conf
When Medical Imaging Met Self-Attention: A Love Story That Didn't Quite Work out.
VISIGRAPP (2): VISAPP
Tristan Piater, Niklas Penzel, Gideon Stein, Joachim Denzler
2023 — conf
Analyzing the Behavior of Cauliflower Harvest-Readiness Models by Investigating Feature Relevances.
ICCV (Workshops)
Niklas Penzel, Jana Kierdorf, Ribana Roscher, Joachim Denzler
2023 — conf
Beyond Debiasing: Actively Steering Feature Selection via Loss Regularization.
DAGM
Jan Blunk, Niklas Penzel, Paul Bodesheim, Joachim Denzler
2023 Misc conf
Interpreting Art by Leveraging Pre-Trained Models.
MVA
Niklas Penzel, Joachim Denzler
2022 — conf
Facing Asymmetry - Uncovering the Causal Link Between Facial Symmetry and Expression Classifiers Using Synthetic Interventions.
ACCV (4)
Tim Büchner, Niklas Penzel, Orlando Guntinas-Lichius, Joachim Denzler
2022 — conf
Investigating Neural Network Training on a Feature Level Using Conditional Independence.
ECCV Workshops (6)
Niklas Penzel, Christian Reimers, Paul Bodesheim, Joachim Denzler
2021 — conf
Conditional Dependence Tests Reveal the Usage of ABCD Rule Features and Bias Variables in Automatic Skin Lesion Classification.
CVPR Workshops
Christian Reimers, Niklas Penzel, Paul Bodesheim, Jakob Runge, Joachim Denzler
2021 — conf
Investigating the Consistency of Uncertainty Sampling in Deep Active Learning.
GCPR
Niklas Penzel, Christian Reimers, Clemens-Alexander Brust, Joachim Denzler