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Eyke Hüllermeier

  1. ChatGPT for good? On opportunities and challenges of large language models for education
    2023/03/09 by Enkelejda Kasneci, Kathrin Seßler, Kathrin Sessler +23 · 178 citations
    Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Online Learning and Analytics #Topic Modeling
  2. A Survey of Reinforcement Learning from Human Feedback
    2023/12/22 by Timo Kaufmann, Kaufmann, Timo, Paul Weng +5 · 59 citations
    Computer Science · #FOS: Computer and information sciences #I.2.6 #Machine Learning (cs.LG) #Software Engineering Research
  3. SHAP-IQ: Unified Approximation of any-order Shapley Interactions
    2023/03/02 by Fabian Fumagalli, Maximilian Muschalik, Fumagalli, Fabian +7 · 9 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Rough Sets and Fuzzy Logic
  4. Pitfalls of Epistemic Uncertainty Quantification through Loss Minimisation
    2022/03/11 by Viktor Bengs, Eyke Hüllermeier, Bengs, Viktor +3 · 5 citations
    Computer Science · #Machine Learning and Algorithms #Machine Learning and Data Classification #Explainable Artificial Intelligence (XAI)
  5. shapiq: Shapley Interactions for Machine Learning
    2024/10/02 by Maximilian Muschalik, Hubert Baniecki, Muschalik, Maximilian +9 · 11 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Software Engineering Research
  6. Koopman Kernel Regression
    2023/05/25 by Petar Bevanda, Max Beier, Bevanda, Petar +9 · 6 citations
    Computer Science · Engineering · Physics and Astronomy · #Dynamical Systems (math.DS) #Energy Load and Power Forecasting #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications #Systems and Control (eess.SY) #electronic engineering #information engineering
  7. Position: Why We Must Rethink Empirical Research in Machine Learning
    2024/05/03 by Moritz Herrmann, F. Julian D. Lange, Herrmann, Moritz +18 · 1 voice · 6 citations
    Computer Science · #Explainable Artificial Intelligence (XAI) #Machine Learning and Data Classification #Online Learning and Analytics #cs.LG #stat.ML
  8. On Second-Order Scoring Rules for Epistemic Uncertainty Quantification
    2023/01/30 by Viktor Bengs, Eyke Hüllermeier, Bengs, Viktor +3 · 3 citations
    Computer Science · #68T37 (Primary) 68T30 (Secondary) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
  9. Quantifying Aleatoric and Epistemic Uncertainty with Proper Scoring Rules
    2024/04/18 by Paul Hofman, Hofman, Paul, Yusuf Sale +3 · 6 citations
    Computer Science · #AI-based Problem Solving and Planning #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Semantic Web and Ontologies
  10. Algorithm Selection on a Meta Level
    2021/07/20 by Alexander Tornede, Lukas Gehring, Tornede, Alexander +7 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification #Rough Sets and Fuzzy Logic
  11. Second-Order Uncertainty Quantification: Variance-Based Measures
    2023/12/30 by Yusuf Sale, Sale, Yusuf, Paul Hofman +7 · 3 citations
    Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Statistical and Computational Modeling
  12. Inverse Constitutional AI: Compressing Preferences into Principles
    2024/06/02 by Arduin Findeis, Findeis, Arduin, Timo Kaufmann +7 · 4 citations
    Economics, Econometrics and Finance · Social Sciences · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Law #Computation and Language (cs.CL) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Legal and Constitutional Studies
  13. Exact Computation of Any-Order Shapley Interactions for Graph Neural Networks
    2025/01/28 by Maximilian Muschalik, Muschalik, Maximilian, Fabian Fumagalli +13 · 4 citations
    Computer Science · #Neural Networks and Applications #Advanced Graph Neural Networks
  14. Is the Volume of a Credal Set a Good Measure for Epistemic Uncertainty?
    2023/06/16 by Yusuf Sale, Sale, Yusuf, Michele Caprio +3 · 2 citations
    Computer Science · #Computational Drug Discovery Methods #Machine Learning and Data Classification #Topological and Geometric Data Analysis
  15. Problem Solving Through Human-AI Preference-Based Cooperation
    2024/08/14 by Subhabrata Dutta, Dutta, Subhabrata, Timo Kaufmann +17 · 3 citations
    Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Cognitive Science and Mapping #Complex Systems and Decision Making #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC)
  16. Conformal Prediction Intervals for Remaining Useful Lifetime Estimation
    2022/12/30 by Alireza Javanmardi, Eyke Hüllermeier, Javanmardi, Alireza +1 · 1 citation
    Chemical Engineering · Engineering · #Advanced Combustion Engine Technologies #Applications (stat.AP) #FOS: Computer and information sciences #Machine Fault Diagnosis Techniques #Machine Learning (cs.LG) #Technical Engine Diagnostics and Monitoring
  17. The Boundaries of Automation: A Theory of Persistent Human Participation
    2026/07/23 by Fares Fourati, Hinrich Schütze, Eyke Hüllermeier +1 · 1 voice
    #cs.AI #cs.CL #cs.ET #cs.LG #cs.MA
  18. Mitigating Label Noise through Data Ambiguation
    2023/05/23 by Julian Lienen, Lienen, Julian, Eyke Hüllermeier +1 · 1 citation
    Computer Science · Engineering · #Machine Learning and Data Classification #Music and Audio Processing #Infrastructure Maintenance and Monitoring
  19. Conformalized Credal Set Predictors
    2024/02/16 by Alireza Javanmardi, Javanmardi, Alireza, David Stutz +3 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Text and Document Classification Technologies
  20. Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration
    2024/03/07 by Julian Rodemann, Rodemann, Julian, Federico Croppi +17 · 1 citation
    Computer Science · Social Sciences · #Explainable Artificial Intelligence (XAI) #Ethics and Social Impacts of AI
  21. A Novel Bayes' Theorem for Upper Probabilities
    2023/07/13 by Michele Caprio, Caprio, Michele, Yusuf Sale +5 · 1 citation
    Computer Science · Engineering · #68T37 #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
  22. An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression
    2025/04/25 by Christopher Bülte, Yusuf Sale, Bülte, Christopher +9 · 3 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  23. Conformal Prediction Regions are Imprecise Highest Density Regions
    2025/02/10 by Michele Caprio, Caprio, Michele, Yusuf Sale +3 · 2 citations
    Computer Science · #Neural Networks and Applications
  24. ALPBench: A Benchmark for Active Learning Pipelines on Tabular Data
    2024/06/25 by Valentin Margraf, Margraf, Valentin, Marcel Wever +9 · 1 citation
    Computer Science · #Machine Learning and Algorithms
  25. Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory
    2024/12/22 by Fabian Fumagalli, Maximilian Muschalik, Fumagalli, Fabian +7 · 1 citation
    Computer Science · Decision Sciences · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Scientific Computing and Data Management #Semantic Web and Ontologies
  26. A calibration test for evaluating set-based epistemic uncertainty representations
    2025/02/22 by Mira Jürgens, Jürgens, Mira, Thomas Mortier +7 · 1 citation
    Decision Sciences · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Probabilistic and Robust Engineering Design
  27. Online Preselection with Context Information under the Plackett-Luce\n Model
    2020/02/11 by Adil El Mesaoudi-Paul, Mesaoudi-Paul, Adil El, Viktor Bengs +3 · 1 citation
    Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Machine Learning and Algorithms #Optimization and Search Problems
  28. Evaluating Epistemic Uncertainty: Beyond OOD Detection and Active Learning
    2026/07/16 by Jakub Paplhám, Willem Waegeman, Eyke Hüllermeier +1
    #cs.LG #cs.AI