Eyke Hüllermeier

Efficient Credal Prediction through Decalibration

Feedback Forensics: A Toolkit to Measure AI Personality

Weighted Conformal Prediction for Time-Dependent PDEs

Uncertainty Quantification for Regression: A Unified Framework based on Kernel Scores

Uncertainty Preservation in Generative Visual Autoregression

Credal Prediction based on Relative Likelihood

X-Hacking: The Threat of Misguided AutoML

ResponseRank: Data-Efficient Reward Modeling through Preference Strength Learning

Inverse Constitutional AI: Compressing Preferences into Principles

Explaining Similarity in Vision-Language Encoders with Weighted Banzhaf Interactions

Comparing Comparisons: Informative and Easy Human Feedback with Distinguishability Queries

ALPBench: A Benchmark for Active Learning Pipelines on Tabular Data

Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks

Adjusted Count Quantification Learning on Graphs

Shapley Value Approximation based on k-Additive Games