Gunnar König
Gunnar König
PhD Candidate, LMU Munich; Research Fellow, University of Vienna
Bestätigte E-Mail-Adresse bei stat.uni-muenchen.de
Titel
Zitiert von
Zitiert von
Jahr
Model-agnostic Feature Importance and Effects with Dependent Features--A Conditional Subgroup Approach
C Molnar, G König, B Bischl, G Casalicchio
arXiv preprint arXiv:2006.04628, 2020
172020
Pitfalls to Avoid when Interpreting Machine Learning Models
C Molnar, G König, J Herbinger, T Freiesleben, S Dandl, CA Scholbeck, ...
ICML 2020, XXAI Workshop, 2020
142020
Relative Feature Importance
G König, C Molnar, B Bischl, M Grosse-Wentrup
2020 25th International Conference on Pattern Recognition (ICPR), 9318--9325, 2021
62021
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
12021
General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models
C Molnar, G König, J Herbinger, T Freiesleben, S Dandl, CA Scholbeck, ...
arXiv preprint arXiv:2007.04131, 2020
12020
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
Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process
C Molnar, T Freiesleben, G König, G Casalicchio, MN Wright, B Bischl
arXiv preprint arXiv:2109.01433, 2021
2021
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
2021
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
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