Fumagalli, Fabian

10 publications

ICLR 2025 Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks Maximilian Muschalik, Fabian Fumagalli, Paolo Frazzetto, Janine Strotherm, Luca Hermes, Alessandro Sperduti, Eyke Hüllermeier, Barbara Hammer

NeurIPS 2025 Explaining Similarity in Vision-Language Encoders with Weighted Banzhaf Interactions Hubert Baniecki, Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier, Przemyslaw Biecek

AISTATS 2025 Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory Fabian Fumagalli, Maximilian Muschalik, Eyke Hüllermeier, Barbara Hammer, Julia Herbinger

AAAI 2024 Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier

ICML 2024 KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions Fabian Fumagalli, Maximilian Muschalik, Patrick Kolpaczki, Eyke Hüllermeier, Barbara Hammer

AISTATS 2024 SVARM-IQ: Efficient Approximation of Any-Order Shapley Interactions Through Stratification Patrick Kolpaczki, Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier

NeurIPS 2024 Shapiq: Shapley Interactions for Machine Learning Maximilian Muschalik, Hubert Baniecki, Fabian Fumagalli, Patrick Kolpaczki, Barbara Hammer, Eyke Hüllermeier

MLJ 2023 Incremental Permutation Feature Importance (iPFI): Towards Online Explanations on Data Streams Fabian Fumagalli, Maximilian Muschalik, Eyke Hüllermeier, Barbara Hammer

NeurIPS 2023 SHAP-IQ: Unified Approximation of Any-Order Shapley Interactions Fabian Fumagalli, Maximilian Muschalik, Patrick Kolpaczki, Eyke Hüllermeier, Barbara Hammer

ECML-PKDD 2023 iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier