Gunnar König - RankMe

26 papers A* 1A 2B 1Journal 16Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Disentangling Interactions and Dependencies in Feature Attributions. AISTATS Gunnar König, Eric Günther, Ulrike von Luxburg
2025	J	`jnl`	Performative Validity of Recourse Explanations. CoRR Gunnar König, Hidde Fokkema, Timo Freiesleben, Celestine Mendler-Dünner, Ulrike von Luxburg
2024	—	`conf`	A Guide to Feature Importance Methods for Scientific Inference. xAI (2) Fiona Katharina Ewald, Ludwig Bothmann, Marvin N. Wright, Bernd Bischl, Giuseppe Casalicchio, Gunnar König
2024	J	`jnl`	A Guide to Feature Importance Methods for Scientific Inference. CoRR Fiona Katharina Ewald, Ludwig Bothmann, Marvin N. Wright, Bernd Bischl, Giuseppe Casalicchio, Gunnar König
2024	—	`conf`	CountARFactuals - Generating Plausible Model-Agnostic Counterfactual Explanations with Adversarial Random Forests. xAI (3) Susanne Dandl, Kristin Blesch, Timo Freiesleben, Gunnar König, Jan Kapar, Bernd Bischl, Marvin N. Wright
2024	J	`jnl`	CountARFactuals - Generating plausible model-agnostic counterfactual explanations with adversarial random forests. CoRR Susanne Dandl, Kristin Blesch, Timo Freiesleben, Gunnar König, Jan Kapar, Bernd Bischl, Marvin N. Wright
2024	J	`jnl`	Disentangling Interactions and Dependencies in Feature Attribution. CoRR Gunnar König, Eric Günther, Ulrike von Luxburg
2024	J	`jnl`	Model-agnostic feature importance and effects with dependent features: a conditional subgroup approach. Data Min. Knowl. Discov. Christoph Molnar, Gunnar König, Bernd Bischl, Giuseppe Casalicchio
2024	J	`jnl`	Scientific Inference with Interpretable Machine Learning: Analyzing Models to Learn About Real-World Phenomena. Minds Mach. Timo Freiesleben, Gunnar König, Christoph Molnar, Álvaro Tejero-Cantero
2023	—	`conf`	Dear XAI Community, We Need to Talk! - Fundamental Misconceptions in Current XAI Research. xAI (1) Timo Freiesleben, Gunnar König
2023	J	`jnl`	Dear XAI Community, We Need to Talk! Fundamental Misconceptions in Current XAI Research. CoRR Timo Freiesleben, Gunnar König
2023	A	`conf`	Efficient SAGE Estimation via Causal Structure Learning. AISTATS Christoph Luther, Gunnar König, Moritz Grosse-Wentrup
2023	J	`jnl`	Efficient SAGE Estimation via Causal Structure Learning. CoRR Christoph Luther, Gunnar König, Moritz Grosse-Wentrup
2023	—	`—`	If interpretability is the answer, what is the question?: a causal perspective. Gunnar König
2023	A*	`conf`	Improvement-Focused Causal Recourse (ICR). AAAI Gunnar König, Timo Freiesleben, Moritz Grosse-Wentrup
2023	—	`conf`	Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process. xAI (1) Christoph Molnar, Timo Freiesleben, Gunnar König, Julia Herbinger, Tim Reisinger, Giuseppe Casalicchio, Marvin N. Wright, Bernd Bischl
2022	J	`jnl`	Improvement-Focused Causal Recourse (ICR). CoRR Gunnar König, Timo Freiesleben, Moritz Grosse-Wentrup
2022	J	`jnl`	Scientific Inference With Interpretable Machine Learning: Analyzing Models to Learn About Real-World Phenomena. CoRR Timo Freiesleben, Gunnar König, Christoph Molnar, Álvaro Tejero-Cantero
2021	J	`jnl`	A Causal Perspective on Meaningful and Robust Algorithmic Recourse. CoRR Gunnar König, Timo Freiesleben, Moritz Grosse-Wentrup
2021	J	`jnl`	Decomposition of Global Feature Importance into Direct and Associative Components (DEDACT). CoRR Gunnar König, Timo Freiesleben, Bernd Bischl, Giuseppe Casalicchio, Moritz Grosse-Wentrup
2021	J	`jnl`	Relating the Partial Dependence Plot and Permutation Feature Importance to the Data Generating Process. CoRR Christoph Molnar, Timo Freiesleben, Gunnar König, Giuseppe Casalicchio, Marvin N. Wright, Bernd Bischl
2020	—	`conf`	General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models. xxAI@ICML Christoph Molnar, Gunnar König, Julia Herbinger, Timo Freiesleben, Susanne Dandl, Christian A. Scholbeck, Giuseppe Casalicchio, Moritz Grosse-Wentrup, Bernd Bischl
2020	J	`jnl`	Model-agnostic Feature Importance and Effects with Dependent Features - A Conditional Subgroup Approach. CoRR Christoph Molnar, Gunnar König, Bernd Bischl, Giuseppe Casalicchio
2020	J	`jnl`	Pitfalls to Avoid when Interpreting Machine Learning Models. CoRR Christoph Molnar, Gunnar König, Julia Herbinger, Timo Freiesleben, Susanne Dandl, Christian A. Scholbeck, Giuseppe Casalicchio, Moritz Grosse-Wentrup, Bernd Bischl
2020	B	`conf`	Relative Feature Importance. ICPR Gunnar König, Christoph Molnar, Bernd Bischl, Moritz Grosse-Wentrup
2020	J	`jnl`	Relative Feature Importance. CoRR Gunnar König, Christoph Molnar, Bernd Bischl, Moritz Grosse-Wentrup