Maximilian Muschalik

Statistics

Publications

Citations

117

H-Index

Active since

2022

Affiliations

Ludwig-Maximilians-Universität München(Current)

Bielefeld University

LMU Klinikum

Maximilian Muschalik is an author at Ludwig-Maximilians-Universität München specializing in computer science, explainable machine learning, and computing.

ORCID

Publications per year

2022–2024

Publications

Incremental permutation feature importance (iPFI): towards online explanations on data streams

Fabian Fumagalli, Maximilian Muschalik, Eyke Hüllermeier et al. · Machine Learning · 2023 · 47 citations · Full text

Computing, Computer Science, Artificial Intelligence +13

Approximating the Shapley Value without Marginal Contributions

Patrick Kolpaczki, Viktor Bengs, Maximilian Muschalik et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2024 · 25 citations · Full text

Computing, Computer Science, Mathematics +13

Agnostic Explanation of Model Change based on Feature Importance

Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer et al. · KI - Künstliche Intelligenz · 2022 · 20 citations · Full text

Computing, Computer Science, Artificial Intelligence +11

SHAP-IQ: Unified Approximation of any-order Shapley Interactions

Fabian Fumagalli, Maximilian Muschalik, Patrick Kolpaczki et al. · arXiv (Cornell University) · 2023 · 13 citations · Full text

Computing, Computer Science, Mathematics +10

Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles

Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2024 · 12 citations · Full text

Computing, Computer Science, Algorithms +14

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