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16 Publications
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.
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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.
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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.
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2025 | Conference Paper | LibreCat-ID: 59856 | 
Spliethöver, Maximilian, et al. “Adaptive Prompting: Ad-Hoc Prompt Composition for Social Bias Detection.” 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 et al., Association for Computational Linguistics, 2025, pp. 2421–2449.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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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