10 Publications
2025 | Conference Paper | LibreCat-ID: 61190
Sengupta, Meghdut, et al. “Investigating the Impact of Conceptual Metaphors on LLM-Based NLI through Shapley Interactions.” Accepted in Findings , EMNLP , 2025.
LibreCat
| Files available
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.
LibreCat
| Files available
| Download (ext.)
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
| DOI
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: 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
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.
LibreCat
| DOI
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.
LibreCat
| DOI
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
| DOI
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.
LibreCat
| DOI
10 Publications
2025 | Conference Paper | LibreCat-ID: 61190
Sengupta, Meghdut, et al. “Investigating the Impact of Conceptual Metaphors on LLM-Based NLI through Shapley Interactions.” Accepted in Findings , EMNLP , 2025.
LibreCat
| Files available
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.
LibreCat
| Files available
| Download (ext.)
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
| DOI
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: 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
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.
LibreCat
| DOI
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.
LibreCat
| DOI
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
| DOI
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.
LibreCat
| DOI