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2020 – today
- 2024
[j2]Christoph Molnar
, Gunnar König, Bernd Bischl, Giuseppe Casalicchio:
Model-agnostic feature importance and effects with dependent features: a conditional subgroup approach. Data Min. Knowl. Discov. 38(5): 2903-2941 (2024)- [j1]Timo Freiesleben, Gunnar König, Christoph Molnar, Álvaro Tejero-Cantero:
Scientific Inference with Interpretable Machine Learning: Analyzing Models to Learn About Real-World Phenomena. Minds Mach. 34(3): 32 (2024) - [c8]Susanne Dandl, Kristin Blesch, Timo Freiesleben, Gunnar König, Jan Kapar, Bernd Bischl, Marvin N. Wright:
CountARFactuals - Generating Plausible Model-Agnostic Counterfactual Explanations with Adversarial Random Forests. xAI (3) 2024: 85-107 - [c7]Fiona Katharina Ewald, Ludwig Bothmann, Marvin N. Wright, Bernd Bischl, Giuseppe Casalicchio, Gunnar König:
A Guide to Feature Importance Methods for Scientific Inference. xAI (2) 2024: 440-464 - [i12]Susanne Dandl, Kristin Blesch, Timo Freiesleben, Gunnar König, Jan Kapar, Bernd Bischl, Marvin N. Wright:
CountARFactuals - Generating plausible model-agnostic counterfactual explanations with adversarial random forests. CoRR abs/2404.03506 (2024) - [i11]Fiona Katharina Ewald, Ludwig Bothmann, Marvin N. Wright, Bernd Bischl, Giuseppe Casalicchio, Gunnar König:
A Guide to Feature Importance Methods for Scientific Inference. CoRR abs/2404.12862 (2024) - 2023
- [b1]Gunnar König:
If interpretability is the answer, what is the question?: a causal perspective. Ludwig Maximilian University of Munich, Germany, 2023 - [c6]Gunnar König, Timo Freiesleben, Moritz Grosse-Wentrup:
Improvement-Focused Causal Recourse (ICR). AAAI 2023: 11847-11855 - [c5]Christoph Luther, Gunnar König, Moritz Grosse-Wentrup:
Efficient SAGE Estimation via Causal Structure Learning. AISTATS 2023: 11650-11670 - [c4]Timo Freiesleben, Gunnar König:
Dear XAI Community, We Need to Talk! - Fundamental Misconceptions in Current XAI Research. xAI (1) 2023: 48-65 - [c3]Christoph Molnar, Timo Freiesleben, Gunnar König, Julia Herbinger, Tim Reisinger, Giuseppe Casalicchio, Marvin N. Wright, Bernd Bischl:
Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process. xAI (1) 2023: 456-479 - [i10]Christoph Luther, Gunnar König, Moritz Grosse-Wentrup:
Efficient SAGE Estimation via Causal Structure Learning. CoRR abs/2304.03113 (2023) - [i9]Timo Freiesleben, Gunnar König:
Dear XAI Community, We Need to Talk! Fundamental Misconceptions in Current XAI Research. CoRR abs/2306.04292 (2023) - 2022
- [i8]Timo Freiesleben, Gunnar König, Christoph Molnar, Álvaro Tejero-Cantero:
Scientific Inference With Interpretable Machine Learning: Analyzing Models to Learn About Real-World Phenomena. CoRR abs/2206.05487 (2022) - [i7]Gunnar König, Timo Freiesleben, Moritz Grosse-Wentrup:
Improvement-Focused Causal Recourse (ICR). CoRR abs/2210.15709 (2022) - 2021
- [i6]Gunnar König, Timo Freiesleben, Bernd Bischl, Giuseppe Casalicchio, Moritz Grosse-Wentrup:
Decomposition of Global Feature Importance into Direct and Associative Components (DEDACT). CoRR abs/2106.08086 (2021) - [i5]Gunnar König, Timo Freiesleben, Moritz Grosse-Wentrup:
A Causal Perspective on Meaningful and Robust Algorithmic Recourse. CoRR abs/2107.07853 (2021) - [i4]Christoph Molnar, Timo Freiesleben, Gunnar König, Giuseppe Casalicchio, Marvin N. Wright, Bernd Bischl:
Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process. CoRR abs/2109.01433 (2021) - 2020
- [c2]Christoph Molnar, Gunnar König, Julia Herbinger, Timo Freiesleben, Susanne Dandl, Christian A. Scholbeck, Giuseppe Casalicchio, Moritz Grosse-Wentrup, Bernd Bischl:
General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models. xxAI@ICML 2020: 39-68 - [c1]Gunnar König, Christoph Molnar, Bernd Bischl, Moritz Grosse-Wentrup:
Relative Feature Importance. ICPR 2020: 9318-9325 - [i3]Christoph Molnar, Gunnar König, Bernd Bischl, Giuseppe Casalicchio:
Model-agnostic Feature Importance and Effects with Dependent Features - A Conditional Subgroup Approach. CoRR abs/2006.04628 (2020) - [i2]Christoph Molnar, Gunnar König, Julia Herbinger, Timo Freiesleben, Susanne Dandl, Christian A. Scholbeck, Giuseppe Casalicchio, Moritz Grosse-Wentrup, Bernd Bischl:
Pitfalls to Avoid when Interpreting Machine Learning Models. CoRR abs/2007.04131 (2020) - [i1]Gunnar König, Christoph Molnar, Bernd Bischl, Moritz Grosse-Wentrup:
Relative Feature Importance. CoRR abs/2007.08283 (2020)
Coauthor Index
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