Eyke Hüllermeier

Venues

Frequent coauthors

Papers

1. Evolutionary Mapping of Neural Networks to Spatial Accelerators
   GECCO 2026 ·

   Alessandro Pierro

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2. Fine-grained Uncertainty Decomposition in Large Language Models: A Spectral Approach
   AAAI 2026 ·

   Nassim Walha

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3. Shapley Value Approximation Based on k-Additive Games
   AAAI 2026 ·

   Guilherme Dean Pelegrina

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4. Uncertainty Quantification for Machine Learning: One Size Does Not Fit All
   AAAI 2026 ·

   Paul Hofman

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5. Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection
   NAACL 2025 ·

   Maximilian Spliethöver

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6. Adjusted Count Quantification Learning on Graphs
   NeurIPS 2025 ·

   Clemens Damke

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7. Comparing Comparisons: Informative and Easy Human Feedback with Distinguishability Queries
   ICML 2025 ·

   Xuening Feng

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8. Conformal Prediction without Nonconformity Scores
   UAI 2025 ·

   Jonas Hanselle

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9. Credal Prediction based on Relative Likelihood
   NeurIPS 2025 ·

   Timo Löhr

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10. DUO: Diverse, Uncertain, On-Policy Query Generation and Selection for Reinforcement Learning from Human Feedback
    AAAI 2025 ·

    Xuening Feng

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11. Distribution Matching for Graph Quantification Under Structural Covariate Shift
    ECML-PKDD 2025 ·

    Clemens Damke

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12. Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks
    ICLR 2025 ·

    Maximilian Muschalik

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13. Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration for Exosuit Personalization
    ECML-PKDD 2025 ·

    Julian Rodemann

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14. Explaining Similarity in Vision-Language Encoders with Weighted Banzhaf Interactions
    NeurIPS 2025 ·

    Hubert Baniecki

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15. Inverse Constitutional AI: Compressing Preferences into Principles
    ICLR 2025 ·

    Arduin Findeis

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16. Investigating the Impact of Conceptual Metaphors on LLM-based NLI through Shapley Interactions
    EMNLP 2025 ·

    Meghdut Sengupta

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17. ResponseRank: Data-Efficient Reward Modeling through Preference Strength Learning
    NeurIPS 2025 ·

    Timo Kaufmann

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18. SynthACticBench: A Capability-Based Synthetic Benchmark for Algorithm Configuration
    GECCO 2025 ·

    Valentin Margraf

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19. Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory
    AISTATS 2025 ·

    Fabian Fumagalli

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20. X-Hacking: The Threat of Misguided AutoML
    ICML 2025 ·

    Rahul Sharma

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21. Approximating the Shapley Value without Marginal Contributions
    AAAI 2024 ·

    Patrick Kolpaczki

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22. Best Arm Identification with Retroactively Increased Sampling Budget for More Resource-Efficient HPO
    IJCAI 2024 ·

    Jasmin Brandt

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23. Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles
    AAAI 2024 ·

    Maximilian Muschalik

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24. CUQ-GNN: Committee-Based Graph Uncertainty Quantification Using Posterior Networks
    ECML-PKDD 2024 ·

    Clemens Damke

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25. Conformalized Credal Set Predictors
    NeurIPS 2024 ·

    Alireza Javanmardi

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26. Diversified Ensemble of Independent Sub-networks for Robust Self-supervised Representation Learning
    ECML-PKDD 2024 ·

    Amihossein Vahidi

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27. Identifying Copeland Winners in Dueling Bandits with Indifferences
    AISTATS 2024 ·

    Viktor Bengs

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28. Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?
    ICML 2024 ·

    Mira Jürgens

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29. KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions
    ICML 2024 ·

    Fabian Fumagalli

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30. Label-wise Aleatoric and Epistemic Uncertainty Quantification
    UAI 2024 ·

    Yusuf Sale

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31. Linear Opinion Pooling for Uncertainty Quantification on Graphs
    UAI 2024 ·

    Clemens Damke

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32. Mitigating Label Noise through Data Ambiguation
    AAAI 2024 ·

    Julian Lienen

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33. Position: Why We Must Rethink Empirical Research in Machine Learning
    ICML 2024 ·

    Moritz Herrmann

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34. Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization
    ICLR 2024 ·

    Amirhossein Vahidi

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35. SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification
    AISTATS 2024 ·

    Patrick Kolpaczki

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36. Second-Order Uncertainty Quantification: A Distance-Based Approach
    ICML 2024 ·

    Yusuf Sale

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37. Unsupervised Class Incremental Learning using Empty Classes
    BMVC 2024 ·

    Svenja Uhlemeyer

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38. shapiq: Shapley Interactions for Machine Learning
    NeurIPS 2024 ·

    Maximilian Muschalik

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