Maximilian Muschalik

36 papers A* 7A 2B 1Journal 19Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient Credal Prediction through Decalibration. CoRR Paul Hofman, Timo Löhr, Maximilian Muschalik, Yusuf Sale, Eyke Hüllermeier
2026	J	`jnl`	Exactly Computing do-Shapley Values. CoRR R. Teal Witter, Álvaro Parafita, Tomas Garriga, Maximilian Muschalik, Fabian Fumagalli, Axel Brando, Lucas Rosenblatt
2026	J	`jnl`	GRANITE: A Generalized Regional Framework for Identifying Agreement in Feature-Based Explanations. CoRR Julia Herbinger, Gabriel Laberge, Maximilian Muschalik, Yann Pequignot, Marvin N. Wright, Fabian Fumagalli
2026	A*	`conf`	HyperSHAP: Shapley Values and Interactions for Explaining Hyperparameter Optimization. AAAI Marcel Wever, Maximilian Muschalik, Fabian Fumagalli, Marius Lindauer
2025	—	`conf`	Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection. NAACL (Long Papers) Maximilian Spliethöver, Tim Knebler, Fabian Fumagalli, Maximilian Muschalik, Barbara Hammer, Eyke Hüllermeier, Henning Wachsmuth
2025	J	`jnl`	Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection. CoRR Maximilian Spliethöver, Tim Knebler, Fabian Fumagalli, Maximilian Muschalik, Barbara Hammer, Eyke Hüllermeier, Henning Wachsmuth
2025	A*	`conf`	Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks. ICLR Maximilian Muschalik, Fabian Fumagalli, Paolo Frazzetto, Janine Strotherm, Luca Hermes, Alessandro Sperduti, Eyke Hüllermeier, Barbara Hammer
2025	J	`jnl`	Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks. CoRR Fabian Fumagalli, Maximilian Muschalik, Paolo Frazzetto, Janine Strotherm, Luca Hermes, Alessandro Sperduti, Eyke Hüllermeier, Barbara Hammer
2025	J	`jnl`	Explaining Similarity in Vision-Language Encoders with Weighted Banzhaf Interactions. CoRR Hubert Baniecki, Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier, Przemyslaw Biecek
2025	J	`jnl`	HyperSHAP: Shapley Values and Interactions for Hyperparameter Importance. CoRR Marcel Wever, Maximilian Muschalik, Fabian Fumagalli, Marius Lindauer
2025	—	`conf`	Investigating the Impact of Conceptual Metaphors on LLM-based NLI through Shapley Interactions. EMNLP (Findings) Meghdut Sengupta, Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier, Debanjan Ghosh, Henning Wachsmuth
2025	A	`conf`	Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory. AISTATS Fabian Fumagalli, Maximilian Muschalik, Eyke Hüllermeier, Barbara Hammer, Julia Herbinger
2024	A*	`conf`	Approximating the Shapley Value without Marginal Contributions. AAAI Patrick Kolpaczki, Viktor Bengs, Maximilian Muschalik, Eyke Hüllermeier
2024	A*	`conf`	Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles. AAAI Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier
2024	J	`jnl`	Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles. CoRR Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier
2024	—	`conf`	Explaining Change in Models and Data with Global Feature Importance and Effects. TempXAI@PKDD/ECML Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier
2024	A*	`conf`	KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions. ICML Fabian Fumagalli, Maximilian Muschalik, Patrick Kolpaczki, Eyke Hüllermeier, Barbara Hammer
2024	J	`jnl`	KernelSHAP-IQ: Weighted Least-Square Optimization for Shapley Interactions. CoRR Fabian Fumagalli, Maximilian Muschalik, Patrick Kolpaczki, Eyke Hüllermeier, Barbara Hammer
2024	—	`ed.`	Proceedings of the Workshop on Explainable AI for Time Series and Data Streams (TempXAI 2024) co-located with The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2024), Vilnius, Lithuania, September 9th, 2024. TempXAI@PKDD/ECML Zahraa S. Abdallah, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier, Matthias Jakobs, Emmanuel Müller, Maximilian Muschalik, Panagiotis Papapetrou, Amal Saadallah, George Tzagkarakis
2024	A	`conf`	SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification. AISTATS Patrick Kolpaczki, Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier
2024	J	`jnl`	SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification. CoRR Patrick Kolpaczki, Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier
2024	J	`jnl`	Stakeholder-centric explanations for black-box decisions: an XAI process model and its application to automotive goodwill assessments. Frontiers Artif. Intell. Stefan Haas, Konstantin Hegestweiler, Michael Rapp, Maximilian Muschalik, Eyke Hüllermeier
2024	J	`jnl`	Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory. CoRR Fabian Fumagalli, Maximilian Muschalik, Eyke Hüllermeier, Barbara Hammer, Julia Herbinger
2024	A*	`conf`	shapiq: Shapley Interactions for Machine Learning. NeurIPS Maximilian Muschalik, Hubert Baniecki, Fabian Fumagalli, Patrick Kolpaczki, Barbara Hammer, Eyke Hüllermeier
2024	J	`jnl`	shapiq: Shapley Interactions for Machine Learning. CoRR Maximilian Muschalik, Hubert Baniecki, Fabian Fumagalli, Patrick Kolpaczki, Barbara Hammer, Eyke Hüllermeier
2023	—	`conf`	Identifying Trends in Feature Attributions During Training of Neural Networks. PKDD/ECML Workshops (2) Elena Terzieva, Maximilian Muschalik, Paul Hofman, Eyke Hüllermeier
2023	J	`jnl`	Incremental permutation feature importance (iPFI): towards online explanations on data streams. Mach. Learn. Fabian Fumagalli, Maximilian Muschalik, Eyke Hüllermeier, Barbara Hammer
2023	B	`conf`	On Feature Removal for Explainability in Dynamic Environments. ESANN Fabian Fumagalli, Maximilian Muschalik, Eyke Hüllermeier, Barbara Hammer
2023	A*	`conf`	SHAP-IQ: Unified Approximation of any-order Shapley Interactions. NeurIPS Fabian Fumagalli, Maximilian Muschalik, Patrick Kolpaczki, Eyke Hüllermeier, Barbara Hammer
2023	J	`jnl`	SHAP-IQ: Unified Approximation of any-order Shapley Interactions. CoRR Fabian Fumagalli, Maximilian Muschalik, Patrick Kolpaczki, Eyke Hüllermeier, Barbara Hammer
2023	—	`conf`	iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios. xAI (1) Maximilian Muschalik, Fabian Fumagalli, Rohit Jagtani, Barbara Hammer, Eyke Hüllermeier
2023	J	`jnl`	iPDP: On Partial Dependence Plots in Dynamic Modeling Scenarios. CoRR Maximilian Muschalik, Fabian Fumagalli, Rohit Jagtani, Barbara Hammer, Eyke Hüllermeier
2023	—	`conf`	iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams. ECML/PKDD (3) Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier
2023	J	`jnl`	iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams. CoRR Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier
2022	J	`jnl`	Agnostic Explanation of Model Change based on Feature Importance. Künstliche Intell. Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier
2022	J	`jnl`	Incremental Permutation Feature Importance (iPFI): Towards Online Explanations on Data Streams. CoRR Fabian Fumagalli, Maximilian Muschalik, Eyke Hüllermeier, Barbara Hammer