Eyke Hüllermeier

Full Professor, Ludwig-Maximilians-Universität München

Joined

July 2019

Names

Eyke Hüllermeier

Emails

****@upb.de (Confirmed)

Personal Links

Career & Education History

Full Professor

Ludwig-Maximilians-Universität München (lmu.de)

2021 – Present

Full Professor

Paderborn University (uni-paderborn.de)

2014 – 2020

Full Professor

University of Marburg (uni-marburg.de)

2006 – 2014

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Linear-LLM-SCM: Benchmarking LLMs for Coefficient Elicitation in Linear-Gaussian Causal Models
Kanta Yamaoka, Sumantrak Mukherjee, Thomas Gärtner, David Antony Selby, Stefan Konigorski, Eyke Hüllermeier, Viktor Bengs, Sebastian Josef Vollmer
- SD4H ICML 2026
- Readers: Everyone
Conformal Prediction in Hierarchical Classification with Constrained Representation Complexity
Thomas Mortier, Alireza Javanmardi, Yusuf Sale, Eyke Hüllermeier, Willem Waegeman
- AISTATS 2026 Poster
- Readers: Everyone
Efficient Credal Prediction through Decalibration
Paul Hofman, Timo Löhr, Maximilian Muschalik, Yusuf Sale, Eyke Hüllermeier
- ICLR 2026 Poster
- Readers: Everyone
Weighted Conformal Prediction for Time-Dependent PDEs
Joshua Stiller, Annika Schneider, Eyke Hüllermeier
- Submitted to ICLR 2026
- Readers: Everyone
Uncertainty Quantification for Regression: A Unified Framework based on Kernel Scores
Christopher Bülte, Yusuf Sale, Gitta Kutyniok, Eyke Hüllermeier
- Submitted to ICLR 2026
- Readers: Everyone
Feedback Forensics: A Toolkit to Measure AI Personality
Arduin Findeis, Timo Kaufmann, Eyke Hüllermeier, Robert D. Mullins
- Submitted to ICLR 2026
- Readers: Everyone
Uncertainty Preservation in Generative Visual Autoregression
Mina Rezaei, Meimingwei Li, Julian Rodemann, Stefan Andreas Baumann, Bernd Bischl, Björn Ommer, Eyke Hüllermeier
- Submitted to ICLR 2026
- Readers: Everyone
Efficient Online Learning with Predictive Coding Networks: Exploiting Temporal Correlations
Darius Masoum Zadeh-Jousdani, Elvin Hajizada, Eyke Hüllermeier
- EdgeAI4R Poster
- Readers: Everyone
Fine-Grained Uncertainty Decomposition in Large Language Models: A Spectral Approach
Nassim Walha, Sebastian G. Gruber, Thomas Decker, Yinchong Yang, Alireza Javanmardi, Eyke Hüllermeier, Florian Buettner
- NeurIPS 2025 - Reliable ML Workshop
- Readers: Everyone
Adjusted Count Quantification Learning on Graphs
Clemens Damke, Eyke Hüllermeier
- NeurIPS 2025 poster
- Readers: Everyone

View all 92 publications

Co-Authors

View all 142 co-authors