Gunnar König

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 19

Top Topics

Markov Logic Networks

Machine Learning

Top Venues

Publications

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 (2024)
Fiona Katharina Ewald, Ludwig Bothmann, Marvin N. Wright, Bernd Bischl, Giuseppe Casalicchio, Gunnar König
A Guide to Feature Importance Methods for Scientific Inference. CoRR (2024)
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) (2024)
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)
Timo Freiesleben, Gunnar König
Dear XAI Community, We Need to Talk! Fundamental Misconceptions in Current XAI Research. CoRR (2023)
Christoph Luther, Gunnar König, Moritz Grosse-Wentrup
Efficient SAGE Estimation via Causal Structure Learning. CoRR (2023)
Timo Freiesleben, Gunnar König
Dear XAI Community, We Need to Talk! - Fundamental Misconceptions in Current XAI Research. xAI (1) (2023)
Christoph Luther, Gunnar König, Moritz Grosse-Wentrup
Efficient SAGE Estimation via Causal Structure Learning. AISTATS (2023)
Gunnar König, Timo Freiesleben, Moritz Grosse-Wentrup
Improvement-Focused Causal Recourse (ICR). AAAI (2023)
Gunnar König, Timo Freiesleben, Moritz Grosse-Wentrup
Improvement-Focused Causal Recourse (ICR). CoRR (2022)
Timo Freiesleben, Gunnar König, Christoph Molnar, Álvaro Tejero-Cantero
Scientific Inference With Interpretable Machine Learning: Analyzing Models to Learn About Real-World Phenomena. CoRR (2022)
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 (2021)
Gunnar König, Timo Freiesleben, Bernd Bischl, Giuseppe Casalicchio, Moritz Grosse-Wentrup
Decomposition of Global Feature Importance into Direct and Associative Components (DEDACT). CoRR (2021)
Gunnar König, Timo Freiesleben, Moritz Grosse-Wentrup
A Causal Perspective on Meaningful and Robust Algorithmic Recourse. CoRR (2021)
Gunnar König, Christoph Molnar, Bernd Bischl, Moritz Grosse-Wentrup
Relative Feature Importance. ICPR (2020)
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)
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 (2020)
Christoph Molnar, Gunnar König, Bernd Bischl, Giuseppe Casalicchio
Model-agnostic Feature Importance and Effects with Dependent Features - A Conditional Subgroup Approach. CoRR (2020)
Gunnar König, Christoph Molnar, Bernd Bischl, Moritz Grosse-Wentrup
Relative Feature Importance. CoRR (2020)