Research Group Fabian Fumagalli
Fabian Fumagalli
Prof. Dr.
Thomas Bayes Fellow
Fabian Fumagalli
is a Thomas Bayes Fellow of MCML and Interim Professor at the Chair of Statistical Learning and Data Science at LMU Munich.
His research advances explainable AI (XAI) by developing theoretically grounded, efficient methods for interpreting machine learning models, focusing on scalable and reliable Shapley-based explanations.
Recent News @MCML
Publications @MCML
2025
[1]
M. Sengupta • M. Muschalik • F. Fumagalli • B. Hammer • E. Hüllermeier • D. Ghosh • H. Wachsmut
Investigating the Impact of Conceptual Metaphors on LLM-based NLI through Shapley Interactions.
Findings @EMNLP 2025 - Findings of the Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. DOI
Investigating the Impact of Conceptual Metaphors on LLM-based NLI through Shapley Interactions.
Findings @EMNLP 2025 - Findings of the Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. DOI
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