Maximilian Muschalik
Scholar

Maximilian Muschalik

Google Scholar ID: jJBCW74AAAAJ
PhD. Candidate, LMU Munich
machine learningexplainable artificial intelligence
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Citations & Impact
All-time
Citations
280
 
H-index
10
 
i10-index
10
 
Publications
20
 
Co-authors
6
list available
Contact
No contact links provided.
Publications
10 items
Proxy-Based Approximation of Shapley and Banzhaf Interactions
2026
Cited
0
ConfoundingSHAP: Quantifying confounding strength in causal inference
2026
Cited
0
Efficient Credal Prediction through Decalibration
2026
Cited
0
Exactly Computing do-Shapley Values
2026
Cited
0
GRANITE: A Generalized Regional Framework for Identifying Agreement in Feature-Based Explanations
2026
Cited
0
Explaining Similarity in Vision-Language Encoders with Weighted Banzhaf Interactions
2025
Cited
0
Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection
2025
Cited
0
HyperSHAP: Shapley Values and Interactions for Hyperparameter Importance
2025
Cited
0
Resume (English only)
Co-authors
6 total
Eyke Hüllermeier
Eyke Hüllermeier
Professor of Computer Science, Paderborn University
Fabian Fumagalli
Fabian Fumagalli
Phd Candidate - Bielefeld University
Barbara Hammer
Barbara Hammer
Professor, Bielefeld University
Patrick Kolpaczki
Patrick Kolpaczki
PhD. Candidate, Ludwig Maximilian University of Munich
Viktor Bengs
Viktor Bengs
German Research Center for Artificial Intelligence (DFKI)
Paul Hofman
Paul Hofman
Ludwig Maximilian University of Munich