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Joshua Stiller

2 papers indexed

arxivcs.LGcs.AI2026-06-26

OperatorSHAP: Fast and Accurate Shapley Value Estimation for Neural Operators

Joshua Stiller, Santo M. A. R. Thies, Felix Czaja, Eyke Hüllermeier

Understanding model predictions is essential for physical applications, where outputs often inform safety-critical decisions, such as structural load assessment, weather warnings, and clinical diagnosis. Shapley values satisfy many desirable properties as an attribution method, b…

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arxivcs.LGcs.AIstat.ML2026-06-25

Decision-Aligned Evaluation of Uncertainty Quantification

Annika Schneider, Tommy Rochussen, Joshua Stiller, Vincent Fortuin

Uncertainty estimates in machine learning are typically evaluated using generic metrics such as the negative log-likelihood and expected calibration error, yet good performance on such metrics does not necessarily imply high utility in downstream decisions. We introduce decision-…

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