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16 Publications
2025 | Conference Paper | LibreCat-ID: 61229
Muschalik, Maximilian, Fabian Fumagalli, Paolo Frazzetto, Janine Strotherm, Luca Hermes, Alessandro Sperduti, Eyke Hüllermeier, and Barbara Hammer. “Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks.” In The Thirteenth International Conference on Learning Representations (ICLR), 2025.
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2025 | Conference Paper | LibreCat-ID: 61232
Visser, Roel, Fabian Fumagalli, Eyke Hüllermeier, and Barbara Hammer. “Explaining Outliers Using Isolation Forest and Shapley Interactions.” In Proceedings of the European Symposium on Artificial Neural Networks (ESANN), 2025.
LibreCat
2025 | Conference Paper | LibreCat-ID: 61231
Fumagalli, Fabian, Maximilian Muschalik, Eyke Hüllermeier, Barbara Hammer, and Julia Herbinger. “Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory.” In Proceedings of The 28th International Conference on Artificial Intelligence and Statistics (AISTATS), 258:5140–48. Proceedings of Machine Learning Research. PMLR, 2025.
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2025 | Conference Paper | LibreCat-ID: 59856 | 
Spliethöver, Maximilian, Tim Knebler, Fabian Fumagalli, Maximilian Muschalik, Barbara Hammer, Eyke Hüllermeier, and Henning Wachsmuth. “Adaptive Prompting: Ad-Hoc Prompt Composition for Social Bias Detection.” In Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), edited by Luis Chiruzzo, Alan Ritter, and Lu Wang, 2421–2449. Albuquerque, New Mexico: Association for Computational Linguistics, 2025.
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2024 | Conference Paper | LibreCat-ID: 58224
Kenneweg, Philip, Tristan Kenneweg, Fabian Fumagalli, and Barbara Hammer. “No Learning Rates Needed: Introducing SALSA - Stable Armijo Line Search Adaptation.” In 2024 International Joint Conference on Neural Networks (IJCNN), 1–8, 2024. https://doi.org/10.1109/IJCNN60899.2024.10650124.
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2024 | Conference Paper | LibreCat-ID: 53073
Muschalik, Maximilian, Fabian Fumagalli, Barbara Hammer, and Eyke Huellermeier. “Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles.” In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 38:14388–96, 2024. https://doi.org/10.1609/aaai.v38i13.29352.
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2024 | Conference Paper | LibreCat-ID: 55311
Kolpaczki, Patrick, Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, and Eyke Huellermeier. “SVARM-IQ: Efficient Approximation of Any-Order Shapley Interactions through Stratification.” In Proceedings of The 27th International Conference on Artificial Intelligence and Statistics (AISTATS), 238:3520–3528. Proceedings of Machine Learning Research. PMLR, 2024.
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2024 | Conference Paper | LibreCat-ID: 58223
Fumagalli, Fabian, Maximilian Muschalik, Patrick Kolpaczki, Eyke Hüllermeier, and Barbara Hammer. “KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions.” In Proceedings of the 41st International Conference on Machine Learning (ICML), 235:14308–14342. Proceedings of Machine Learning Research. PMLR, 2024.
LibreCat
2024 | Conference Paper | LibreCat-ID: 61228
Muschalik, Maximilian, Hubert Baniecki, Fabian Fumagalli, Patrick Kolpaczki, Barbara Hammer, and Eyke Huellermeier. “Shapiq: Shapley Interactions for Machine Learning.” In Advances in Neural Information Processing Systems (NeurIPS), 37:130324–130357, 2024.
LibreCat
2024 | Conference Paper | LibreCat-ID: 61230
Kolpaczki, Patrick, Viktor Bengs, Maximilian Muschalik, and Eyke Hüllermeier. “Approximating the Shapley Value without Marginal Contributions.” In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 38:13246–13255, 2024.
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2023 | Journal Article | LibreCat-ID: 50262
Fumagalli, Fabian, Maximilian Muschalik, Eyke Hüllermeier, and Barbara Hammer. “Incremental Permutation Feature Importance (IPFI): Towards Online Explanations on Data Streams.” Machine Learning 112, no. 12 (2023): 4863–4903. https://doi.org/10.1007/s10994-023-06385-y.
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2023 | Conference Paper | LibreCat-ID: 48778
Muschalik, Maximilian, Fabian Fumagalli, Rohit Jagtani, Barbara Hammer, and Eyke Huellermeier. “IPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios.” In Proceedings of the World Conference on Explainable Artificial Intelligence (XAI), 2023. https://doi.org/10.1007/978-3-031-44064-9_11.
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2023 | Book Chapter | LibreCat-ID: 48776
Muschalik, Maximilian, Fabian Fumagalli, Barbara Hammer, and Eyke Huellermeier. “ISAGE: An Incremental Version of SAGE for Online Explanation on Data Streams.” In Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference (ECML PKDD). Springer Nature Switzerland, 2023. https://doi.org/10.1007/978-3-031-43418-1_26.
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2023 | Conference Paper | LibreCat-ID: 48775
Fumagalli, Fabian, Maximilian Muschalik, Eyke Hüllermeier, and Barbara Hammer. “On Feature Removal for Explainability in Dynamic Environments.” In Proceedings of the European Symposium on Artificial Neural Networks (ESANN), 2023. https://doi.org/10.14428/ESANN/2023.ES2023-148.
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2023 | Conference Paper | LibreCat-ID: 52230
Fumagalli, Fabian, Maximilian Muschalik, Patrick Kolpaczki, Eyke Hüllermeier, and Barbara Hammer. “SHAP-IQ: Unified Approximation of Any-Order Shapley Interactions.” In Advances in Neural Information Processing Systems (NeurIPS), 36:11515--11551, 2023.
LibreCat
2022 | Journal Article | LibreCat-ID: 48780
Muschalik, Maximilian, Fabian Fumagalli, Barbara Hammer, and Eyke Huellermeier. “Agnostic Explanation of Model Change Based on Feature Importance.” KI - Künstliche Intelligenz 36, no. 3–4 (2022): 211–24. https://doi.org/10.1007/s13218-022-00766-6.
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