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17 Publications
2026 | Conference Paper | LibreCat-ID: 65567
Koopmann, Patrick, et al. “Can You Tell the Difference? Contrastive Explanations for ABox Entailments.” Proceedings of the AAAI Conference on Artificial Intelligence, vol. 40, no. 23, Association for the Advancement of Artificial Intelligence (AAAI), 2026, pp. 19189–97, doi:10.1609/aaai.v40i23.38993.
LibreCat
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2025 | Conference Paper | LibreCat-ID: 61229
Muschalik, Maximilian, et al. “Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks.” The Thirteenth International Conference on Learning Representations (ICLR), 2025.
LibreCat
2025 | Conference Paper | LibreCat-ID: 61232
Visser, Roel, et al. “Explaining Outliers Using Isolation Forest and Shapley Interactions.” Proceedings of the European Symposium on Artificial Neural Networks (ESANN), 2025.
LibreCat
2025 | Conference Paper | LibreCat-ID: 61231
Fumagalli, Fabian, et al. “Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory.” Proceedings of The 28th International Conference on Artificial Intelligence and Statistics (AISTATS), vol. 258, PMLR, 2025, pp. 5140–48.
LibreCat
2024 | Conference Paper | LibreCat-ID: 58224
Kenneweg, Philip, et al. “No Learning Rates Needed: Introducing SALSA - Stable Armijo Line Search Adaptation.” 2024 International Joint Conference on Neural Networks (IJCNN), 2024, pp. 1–8, doi:10.1109/IJCNN60899.2024.10650124.
LibreCat
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2024 | Conference Paper | LibreCat-ID: 53073
Muschalik, Maximilian, et al. “Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles.” Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), vol. 38, no. 13, 2024, pp. 14388–96, doi:10.1609/aaai.v38i13.29352.
LibreCat
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2024 | Conference Paper | LibreCat-ID: 55311
Kolpaczki, Patrick, et al. “SVARM-IQ: Efficient Approximation of Any-Order Shapley Interactions through Stratification.” Proceedings of The 27th International Conference on Artificial Intelligence and Statistics (AISTATS), vol. 238, PMLR, 2024, pp. 3520–3528.
LibreCat
2024 | Conference Paper | LibreCat-ID: 58223
Fumagalli, Fabian, et al. “KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions.” Proceedings of the 41st International Conference on Machine Learning (ICML), vol. 235, PMLR, 2024, pp. 14308–14342.
LibreCat
2024 | Conference Paper | LibreCat-ID: 61228
Muschalik, Maximilian, et al. “Shapiq: Shapley Interactions for Machine Learning.” Advances in Neural Information Processing Systems (NeurIPS), vol. 37, 2024, pp. 130324–130357.
LibreCat
2024 | Conference Paper | LibreCat-ID: 61230
Kolpaczki, Patrick, et al. “Approximating the Shapley Value without Marginal Contributions.” Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), vol. 38, no. 12, 2024, pp. 13246–13255.
LibreCat
2023 | Conference Paper | LibreCat-ID: 51367
Robrecht, Amelie, and Stefan Kopp. “SNAPE: A Sequential Non-Stationary Decision Process Model for Adaptive Explanation Generation.” Proceedings of the 15th International Conference on Agents and Artificial Intelligence, SCITEPRESS - Science and Technology Publications, 2023, pp. 48–58, doi:10.5220/0011671300003393.
LibreCat
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2023 | Journal Article | LibreCat-ID: 50262
Fumagalli, Fabian, et al. “Incremental Permutation Feature Importance (IPFI): Towards Online Explanations on Data Streams.” Machine Learning, vol. 112, no. 12, Springer Science and Business Media LLC, 2023, pp. 4863–903, doi:10.1007/s10994-023-06385-y.
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2023 | Conference Paper | LibreCat-ID: 48778
Muschalik, Maximilian, et al. “IPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios.” Proceedings of the World Conference on Explainable Artificial Intelligence (XAI), 2023, doi:10.1007/978-3-031-44064-9_11.
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2023 | Book Chapter | LibreCat-ID: 48776
Muschalik, Maximilian, et al. “ISAGE: An Incremental Version of SAGE for Online Explanation on Data Streams.” Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference (ECML PKDD), Springer Nature Switzerland, 2023, doi:10.1007/978-3-031-43418-1_26.
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2023 | Conference Paper | LibreCat-ID: 48775
Fumagalli, Fabian, et al. “On Feature Removal for Explainability in Dynamic Environments.” Proceedings of the European Symposium on Artificial Neural Networks (ESANN), 2023, doi:10.14428/ESANN/2023.ES2023-148.
LibreCat
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2023 | Conference Paper | LibreCat-ID: 52230
Fumagalli, Fabian, et al. “SHAP-IQ: Unified Approximation of Any-Order Shapley Interactions.” Advances in Neural Information Processing Systems (NeurIPS), vol. 36, 2023, pp. 11515--11551.
LibreCat
2022 | Journal Article | LibreCat-ID: 48780
Muschalik, Maximilian, et al. “Agnostic Explanation of Model Change Based on Feature Importance.” KI - Künstliche Intelligenz, vol. 36, no. 3–4, Springer Science and Business Media LLC, 2022, pp. 211–24, doi:10.1007/s13218-022-00766-6.
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