PPaperPicks

Eyke Hüllermeier

LMU Munich, Germany

38 papers at tracked venues · 22 at CORE A* · active 2024–2026

Venues

Frequent coauthors

Maximilian Muschalik
×10
Fabian Fumagalli
×9
Barbara Hammer
×9
Patrick Kolpaczki
×5
Yusuf Sale
×5
Viktor Bengs
×5
Marcel Wever
×4
Clemens Damke
×4
Timo Kaufmann
×4
Bernd Bischl
×4
Alireza Javanmardi
×3
Paul Hofman
×3

Papers

  1. Evolutionary Mapping of Neural Networks to Spatial Accelerators
    GECCO 2026 ·
    Alessandro Pierro
    ,
    Jason Yik
    ,
    Jonathan Timcheck
    ,
    Marius Lindauer
    , Eyke Hüllermeier,
    Marcel Wever
  2. Fine-grained Uncertainty Decomposition in Large Language Models: A Spectral Approach
    AAAI 2026 ·
    Nassim Walha
    ,
    Sebastian G. Gruber
    ,
    Thomas Decker
    ,
    Yinchong Yang
    ,
    Alireza Javanmardi
    , Eyke Hüllermeier,
    Florian Buettner
  3. Shapley Value Approximation Based on k-Additive Games
    AAAI 2026 ·
    Guilherme Dean Pelegrina
    ,
    Patrick Kolpaczki
    , Eyke Hüllermeier
  4. Uncertainty Quantification for Machine Learning: One Size Does Not Fit All
    AAAI 2026 ·
    Paul Hofman
    ,
    Yusuf Sale
    , Eyke Hüllermeier
  5. Adaptive Prompting: Ad-hoc Prompt Composition for Social Bias Detection
    NAACL 2025 ·
    Maximilian Spliethöver
    ,
    Tim Knebler
    ,
    Fabian Fumagalli
    ,
    Maximilian Muschalik
    ,
    Barbara Hammer
    , Eyke Hüllermeier,
    Henning Wachsmuth
  6. Adjusted Count Quantification Learning on Graphs
    NeurIPS 2025 ·
    Clemens Damke
    , Eyke Hüllermeier
  7. Comparing Comparisons: Informative and Easy Human Feedback with Distinguishability Queries
    ICML 2025 ·
    Xuening Feng
    ,
    Zhaohui Jiang
    ,
    Timo Kaufmann
    , Eyke Hüllermeier,
    Paul Weng
    ,
    Yifei Zhu
  8. Conformal Prediction without Nonconformity Scores
    UAI 2025 ·
    Jonas Hanselle
    ,
    Alireza Javanmardi
    ,
    Tobias Florin Oberkofler
    ,
    Yusuf Sale
    , Eyke Hüllermeier
  9. Credal Prediction based on Relative Likelihood
    NeurIPS 2025 ·
    Timo Löhr
    ,
    Paul Hofman
    ,
    Felix Mohr
    , Eyke Hüllermeier
  10. DUO: Diverse, Uncertain, On-Policy Query Generation and Selection for Reinforcement Learning from Human Feedback
    AAAI 2025 ·
    Xuening Feng
    ,
    Zhaohui Jiang
    ,
    Timo Kaufmann
    ,
    Puchen Xu
    , Eyke Hüllermeier,
    Paul Weng
    ,
    Yifei Zhu
  11. Distribution Matching for Graph Quantification Under Structural Covariate Shift
    ECML-PKDD 2025 ·
    Clemens Damke
    , Eyke Hüllermeier
  12. Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks
    ICLR 2025 ·
    Maximilian Muschalik
    ,
    Fabian Fumagalli
    ,
    Paolo Frazzetto
    ,
    Janine Strotherm
    ,
    Luca Hermes
    ,
    Alessandro Sperduti
    , Eyke Hüllermeier,
    Barbara Hammer
  13. Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration for Exosuit Personalization
    ECML-PKDD 2025 ·
    Julian Rodemann
    ,
    Federico Croppi
    ,
    Philipp Arens
    ,
    Yusuf Sale
    ,
    Julia Herbinger
    ,
    Bernd Bischl
    , Eyke Hüllermeier,
    Thomas Augustin
    ,
    Conor J. Walsh
    ,
    Giuseppe Casalicchio
  14. Explaining Similarity in Vision-Language Encoders with Weighted Banzhaf Interactions
    NeurIPS 2025 ·
    Hubert Baniecki
    ,
    Maximilian Muschalik
    ,
    Fabian Fumagalli
    ,
    Barbara Hammer
    , Eyke Hüllermeier,
    Przemyslaw Biecek
  15. Inverse Constitutional AI: Compressing Preferences into Principles
    ICLR 2025 ·
    Arduin Findeis
    ,
    Timo Kaufmann
    , Eyke Hüllermeier,
    Samuel Albanie
    ,
    Robert Mullins
  16. Investigating the Impact of Conceptual Metaphors on LLM-based NLI through Shapley Interactions
    EMNLP 2025 ·
    Meghdut Sengupta
    ,
    Maximilian Muschalik
    ,
    Fabian Fumagalli
    ,
    Barbara Hammer
    , Eyke Hüllermeier,
    Debanjan Ghosh
    ,
    Henning Wachsmuth
  17. ResponseRank: Data-Efficient Reward Modeling through Preference Strength Learning
    NeurIPS 2025 ·
    Timo Kaufmann
    ,
    Yannick Metz
    ,
    Daniel A. Keim
    , Eyke Hüllermeier
  18. SynthACticBench: A Capability-Based Synthetic Benchmark for Algorithm Configuration
    GECCO 2025 ·
    Valentin Margraf
    ,
    Anna Lappe
    ,
    Marcel Wever
    ,
    Carolin Benjamins
    , Eyke Hüllermeier,
    Marius Lindauer
  19. Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory
    AISTATS 2025 ·
    Fabian Fumagalli
    ,
    Maximilian Muschalik
    , Eyke Hüllermeier,
    Barbara Hammer
    ,
    Julia Herbinger
  20. X-Hacking: The Threat of Misguided AutoML
    ICML 2025 ·
    Rahul Sharma
    ,
    Sumantrak Mukherjee
    ,
    Andrea Sipka
    , Eyke Hüllermeier,
    Sebastian Josef Vollmer
    ,
    Sergey Redyuk
    ,
    David Antony Selby
  21. Approximating the Shapley Value without Marginal Contributions
    AAAI 2024 ·
    Patrick Kolpaczki
    ,
    Viktor Bengs
    ,
    Maximilian Muschalik
    , Eyke Hüllermeier
  22. Best Arm Identification with Retroactively Increased Sampling Budget for More Resource-Efficient HPO
    IJCAI 2024 ·
    Jasmin Brandt
    ,
    Marcel Wever
    ,
    Viktor Bengs
    , Eyke Hüllermeier
  23. Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles
    AAAI 2024 ·
    Maximilian Muschalik
    ,
    Fabian Fumagalli
    ,
    Barbara Hammer
    , Eyke Hüllermeier
  24. CUQ-GNN: Committee-Based Graph Uncertainty Quantification Using Posterior Networks
    ECML-PKDD 2024 ·
    Clemens Damke
    , Eyke Hüllermeier
  25. Conformalized Credal Set Predictors
    NeurIPS 2024 ·
    Alireza Javanmardi
    ,
    David Stutz
    , Eyke Hüllermeier
  26. Diversified Ensemble of Independent Sub-networks for Robust Self-supervised Representation Learning
    ECML-PKDD 2024 ·
    Amihossein Vahidi
    ,
    Lisa Wimmer
    ,
    Hüseyin Anil Gündüz
    ,
    Bernd Bischl
    , Eyke Hüllermeier,
    Mina Rezaei
  27. Identifying Copeland Winners in Dueling Bandits with Indifferences
    AISTATS 2024 ·
    Viktor Bengs
    ,
    Björn Haddenhorst
    , Eyke Hüllermeier
  28. Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?
    ICML 2024 ·
    Mira Jürgens
    ,
    Nis Meinert
    ,
    Viktor Bengs
    , Eyke Hüllermeier,
    Willem Waegeman
  29. KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions
    ICML 2024 ·
    Fabian Fumagalli
    ,
    Maximilian Muschalik
    ,
    Patrick Kolpaczki
    , Eyke Hüllermeier,
    Barbara Hammer
  30. Label-wise Aleatoric and Epistemic Uncertainty Quantification
    UAI 2024 ·
    Yusuf Sale
    ,
    Paul Hofman
    ,
    Timo Löhr
    ,
    Lisa Wimmer
    ,
    Thomas Nagler
    , Eyke Hüllermeier
  31. Linear Opinion Pooling for Uncertainty Quantification on Graphs
    UAI 2024 ·
    Clemens Damke
    , Eyke Hüllermeier
  32. Mitigating Label Noise through Data Ambiguation
    AAAI 2024 ·
    Julian Lienen
    , Eyke Hüllermeier
  33. Position: Why We Must Rethink Empirical Research in Machine Learning
    ICML 2024 ·
    Moritz Herrmann
    ,
    F. Julian D. Lange
    ,
    Katharina Eggensperger
    ,
    Giuseppe Casalicchio
    ,
    Marcel Wever
    ,
    Matthias Feurer
    ,
    David Rügamer
    , Eyke Hüllermeier,
    Anne-Laure Boulesteix
    ,
    Bernd Bischl
  34. Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization
    ICLR 2024 ·
    Amirhossein Vahidi
    ,
    Simon Schoßer
    ,
    Lisa Wimmer
    ,
    Yawei Li
    ,
    Bernd Bischl
    , Eyke Hüllermeier,
    Mina Rezaei
  35. SVARM-IQ: Efficient Approximation of Any-order Shapley Interactions through Stratification
    AISTATS 2024 ·
    Patrick Kolpaczki
    ,
    Maximilian Muschalik
    ,
    Fabian Fumagalli
    ,
    Barbara Hammer
    , Eyke Hüllermeier
  36. Second-Order Uncertainty Quantification: A Distance-Based Approach
    ICML 2024 ·
    Yusuf Sale
    ,
    Viktor Bengs
    ,
    Michele Caprio
    , Eyke Hüllermeier
  37. Unsupervised Class Incremental Learning using Empty Classes
    BMVC 2024 ·
    Svenja Uhlemeyer
    ,
    Julian Lienen
    ,
    Youssef Shoeb
    , Eyke Hüllermeier,
    Hanno Gottschalk
  38. shapiq: Shapley Interactions for Machine Learning
    NeurIPS 2024 ·
    Maximilian Muschalik
    ,
    Hubert Baniecki
    ,
    Fabian Fumagalli
    ,
    Patrick Kolpaczki
    ,
    Barbara Hammer
    , Eyke Hüllermeier