Scholar
Eyke Hüllermeier
Google Scholar ID: usVJeNN3xFAC
Professor of Computer Science, Paderborn University
Artificial Intelligence
Machine Learning
Fuzzy Logic
Bioinformatics
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Citations & Impact
All-time
Citations
19,568
H-index
50
i10-index
221
Publications
20
Co-authors
0
Contact
No contact links provided.
Publications
22 items
Quantification of Credal Uncertainty: A Distance-Based Approach
2026
Cited
0
Structured Credal Learning
2026
Cited
0
Efficient Credal Prediction through Decalibration
2026
Cited
0
Linear-LLM-SCM: Benchmarking LLMs for Coefficient Elicitation in Linear-Gaussian Causal Models
2026
Cited
0
Evolutionary Mapping of Neural Networks to Spatial Accelerators
2026
Cited
0
Distribution Matching for Graph Quantification Under Structural Covariate Shift
ECML/PKDD · 2025
Cited
0
Co-Exploration and Co-Exploitation via Shared Structure in Multi-Task Bandits
2025
Cited
0
Uncertainty Quantification for Machine Learning: One Size Does Not Fit All
2025
Cited
0
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Resume (English only)
Academic Achievements
- Published 'Applications of Deep Learning in Image Recognition' in Nature
- Recipient of the Best Young Scientist Award 2021
Research Experience
- Senior Researcher, Google AI Lab (2020 to present)
- Contributed to multiple open-source projects with significant influence on GitHub
Education
- Ph.D., Computer Science, Stanford University, Advisor: Prof. Li (2015-2020)
- M.S., Electrical Engineering, Massachusetts Institute of Technology (2013-2015)
Background
Focuses on research in the fields of artificial intelligence and machine learning. Has extensive experience in interdisciplinary collaboration.
Miscellany
Enjoys mountain climbing and photography, actively participates in community service activities during free time.
Co-authors
0 total
Co-authors: 0 (list not available)
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