Agnostic Explanation of Model Change based on Feature Importance. - Maximilian Muschalik; Fabian Fumagalli; Barbara Hammer; Eyke Hüllermeier (Künstliche Intell., 2022)

On Feature Removal for Explainability in Dynamic Environments. - Fabian Fumagalli; Maximilian Muschalik; Eyke Hüllermeier; Barbara Hammer (ESANN, 2023)

SHAP-IQ: Unified Approximation of any-order Shapley Interactions. - Fabian Fumagalli; Maximilian Muschalik; Patrick Kolpaczki; Eyke Hüllermeier; Barbara Hammer (NeurIPS, 2023)

iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams. - Maximilian Muschalik; Fabian Fumagalli; Barbara Hammer; Eyke Hüllermeier (ECML/PKDD (3), 2023)

Identifying Trends in Feature Attributions During Training of Neural Networks. - Elena Terzieva; Maximilian Muschalik; Paul Hofman; Eyke Hüllermeier (PKDD/ECML Workshops (2), 2023)

iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios. - Maximilian Muschalik; Fabian Fumagalli; Rohit Jagtani; Barbara Hammer; Eyke Hüllermeier (xAI (1), 2023)

Incremental permutation feature importance (iPFI): towards online explanations on data streams. - Fabian Fumagalli; Maximilian Muschalik; Eyke Hüllermeier; Barbara Hammer (Mach. Learn., 2023)

Approximating the Shapley Value without Marginal Contributions. - Patrick Kolpaczki; Viktor Bengs; Maximilian Muschalik; Eyke Hüllermeier (AAAI, 2024)

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

SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification. - Patrick Kolpaczki; Maximilian Muschalik; Fabian Fumagalli; Barbara Hammer; Eyke Hüllermeier (AISTATS, 2024)

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

shapiq: Shapley Interactions for Machine Learning. - Maximilian Muschalik; Hubert Baniecki; Fabian Fumagalli; Patrick Kolpaczki; Barbara Hammer; Eyke Hüllermeier (NeurIPS, 2024)

Explaining Change in Models and Data with Global Feature Importance and Effects. - Maximilian Muschalik; Fabian Fumagalli; Barbara Hammer; Eyke Hüllermeier (TempXAI@PKDD/ECML, 2024)

Stakeholder-centric explanations for black-box decisions: an XAI process model and its application to automotive goodwill assessments. - Stefan Haas; Konstantin Hegestweiler; Michael Rapp; Maximilian Muschalik; Eyke Hüllermeier (Frontiers Artif. Intell., 2024)

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

Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection. - Maximilian Spliethöver; Tim Knebler; Fabian Fumagalli; Maximilian Muschalik; Barbara Hammer; Eyke Hüllermeier; Henning Wachsmuth (NAACL (Long Papers), 2025)

HyperSHAP: Shapley Values and Interactions for Hyperparameter Importance. - Marcel Wever; Maximilian Muschalik; Fabian Fumagalli; Marius Lindauer (CoRR, 2025)