Scholar
Maximilian Muschalik
Google Scholar ID: jJBCW74AAAAJ
PhD. Candidate, LMU Munich
machine learning
explainable artificial intelligence
Follow
Google Scholar
↗
Citations & Impact
All-time
Citations
280
H-index
10
i10-index
10
Publications
20
Co-authors
6
list available
Publications
12 items
Credal Machine Learning for Risk-Averse Decision Making
2026
Cited
0
ShaplEIG: Bayesian Experimental Design for Shapley Value Estimation
2026
Cited
0
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
Load more
Co-authors
6 total
Eyke Hüllermeier
Professor of Computer Science, Paderborn University
Fabian Fumagalli
Phd Candidate - Bielefeld University
Barbara Hammer
Professor, Bielefeld University
Patrick Kolpaczki
PhD. Candidate, Ludwig Maximilian University of Munich
Viktor Bengs
German Research Center for Artificial Intelligence (DFKI)
Paul Hofman
Ludwig Maximilian University of Munich
