Follow
Gunnar König
Gunnar König
Postdoctoral Researcher, University of Tübingen
Verified email at uni-tuebingen.de - Homepage
Title
Cited by
Cited by
Year
General pitfalls of model-agnostic interpretation methods for machine learning models
C Molnar, G König, J Herbinger, T Freiesleben, S Dandl, CA Scholbeck, ...
International Workshop on Extending Explainable AI Beyond Deep Models and …, 2022
246*2022
Model-agnostic Feature Importance and Effects with Dependent Features--A Conditional Subgroup Approach
C Molnar, G König, B Bischl, G Casalicchio
Data Mining and Knowledge Discovery, 2023
982023
Relating the partial dependence plot and permutation feature importance to the data generating process
G König*, C Molnar*, T Freiesleben*, J Herbinger, T Reisinger, ...
World Conference on Explainable Artificial Intelligence, 456-479, 2023
692023
Relative Feature Importance
G König, C Molnar, B Bischl, M Grosse-Wentrup
2020 25th International Conference on Pattern Recognition (ICPR), 9318--9325, 2021
692021
A Causal Perspective on Meaningful and Robust Algorithmic Recourse
G König, T Freiesleben, M Grosse-Wentrup
ICML 2021 Workshop on Algorithmic Recourse; arXiv:2107.07853, 2021
222021
Scientific Inference with Interpretable Machine Learning: Analyzing Models to Learn About Real-World Phenomena
T Freiesleben, G König, C Molnar, Á Tejero-Cantero
Minds and Machines 34 (3), 32, 2024
192024
Improvement-Focused Causal Recourse (ICR)
G König, T Freiesleben, M Grosse-Wentrup
The 37th AAAI Conference on Artificial Intelligence, 2022
182022
Dear XAI community, we need to talk! Fundamental misconceptions in current XAI research
T Freiesleben, G König
World Conference on Explainable Artificial Intelligence, 48-65, 2023
152023
Decomposition of Global Feature Importance into Direct and Associative Components (DEDACT)
G König, T Freiesleben, B Bischl, G Casalicchio, M Grosse-Wentrup
arXiv preprint arXiv:2106.08086, 2021
62021
Efficient SAGE Estimation via Causal Structure Learning
G König*, C Luther*, M Grosse-Wentrup
AISTATS 2023, 2023
3*2023
Deep Learning in Objective Classification of Spontaneous Movement of Patients with Parkinson’s Disease Using Large-Scale Free-Living Sensor Data
F Pfister, D Kulić, T Um, D Pichler, A Ahmadi, M Lang, G König, F Achilles, ...
12017
CountARFactuals--Generating plausible model-agnostic counterfactual explanations with adversarial random forests
G König*, S Dandl*, K Blesch*, T Freiesleben*, J Kapar, B Bischl, ...
arXiv preprint arXiv:2404.03506, 2024
2024
If interpretability is the answer, what is the question?: a causal perspective
G König
Dissertation, München, Ludwig-Maximilians-Universität, 2023, 2023
2023
A Causal Perspective on Challenges for AI in Precision Medicine
G König, M Grosse-Wentrup
Proceedings of the 2nd International Congress on Precision Medicine (PMBC), 2019
2019
The system can't perform the operation now. Try again later.
Articles 1–14