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Gunnar König
Gunnar König
Bestätigte E-Mail-Adresse bei uni-tuebingen.de - Startseite
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Zitiert von
Jahr
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
1182022
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
702023
Pitfalls to avoid when interpreting machine learning models
C Molnar, G König, J Herbinger, T Freiesleben, S Dandl, CA Scholbeck, ...
ICML Workshop on XXAI: Extending Explainable AI Beyond Deep Models and …, 2020
542020
Relative Feature Importance
G König, C Molnar, B Bischl, M Grosse-Wentrup
2020 25th International Conference on Pattern Recognition (ICPR), 9318--9325, 2021
532021
Relating the partial dependence plot and permutation feature importance to the data generating process
C Molnar, T Freiesleben, G König, J Herbinger, T Reisinger, ...
World Conference on Explainable Artificial Intelligence, 456-479, 2023
422023
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
182021
Scientific Inference With Interpretable Machine Learning: Analyzing Models to Learn About Real-World Phenomena
T Freiesleben, G König, C Molnar, A Tejero-Cantero
arXiv preprint arXiv:2206.05487, 2022
152022
Improvement-Focused Causal Recourse (ICR)
G König, T Freiesleben, M Grosse-Wentrup
The 37th AAAI Conference on Artificial Intelligence, 2022
92022
Dear XAI Community, We Need to Talk! Fundamental Misconceptions in Current XAI Research
T Freiesleben, G König
arXiv preprint arXiv:2306.04292, 2023
52023
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
52021
Efficient SAGE Estimation via Causal Structure Learning
C Luther*, G König*, M Grosse-Wentrup
AISTATS 2023, 2023
12023
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
If interpretability is the answer, what is the question?
G König
lmu, 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
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