| Measuring inequality beyond the Gini coefficient may clarify conflicting findings K Blesch, OP Hauser, JM Jachimowicz Nature human behaviour 6 (11), 1525-1536, 2022 | 32 | 2022 |
| Adversarial random forests for density estimation and generative modeling DS Watson, K Blesch, J Kapar, MN Wright International Conference on Artificial Intelligence and Statistics, 5357-5375, 2023 | 10* | 2023 |
| Conditional feature importance for mixed data K Blesch, DS Watson, MN Wright AStA Advances in Statistical Analysis, 1-20, 2023 | 7 | 2023 |
| Unfooling SHAP and SAGE: Knockoff Imputation for Shapley Values K Blesch, MN Wright, D Watson World Conference on Explainable Artificial Intelligence, 131-146, 2023 | 3 | 2023 |
| Interpretable machine learning and generative modeling with mixed tabular data-advancing methodology from the perspective of statistics K Blesch Universität Bremen, 2024 | | 2024 |
| CountARFactuals--Generating plausible model-agnostic counterfactual explanations with adversarial random forests S Dandl*, K Blesch*, T Freiesleben*, G König*, J Kapar, B Bischl, ... arXiv preprint arXiv:2404.03506, 2024 | | 2024 |
| arfpy: A python package for density estimation and generative modeling with adversarial random forests K Blesch, MN Wright arXiv preprint arXiv:2311.07366, 2023 | | 2023 |
Marvin N. WrightLeibniz Institute for Prevention Research and Epidemiology – BIPS & University of BremenVerified email at leibniz-bips.de
