Scholar
Werner Zellinger
Google Scholar ID: dqPaRCEAAAAJ
Institute for Machine Learning, Johannes Kepler University Linz
Citations & Impact
Citations
1,719
H-index
16
i10-index
19
Publications
20
Co-authors
11
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- No specific academic achievements or publication links directly mentioned.
Research Experience
- PI for Robust AI at the institute led by Sepp Hochreiter since 2024; Postdoctoral Researcher at RICAM, Austrian Academy of Sciences (2022–2024); Research Team Lead at SCCH GmbH (2020–2022); Industrial Researcher at SCCH GmbH (2012–2016).
Education
- BSc from TU Graz; MSc and PhD from JKU (2020)
Background
- Research interests: developing machine learning methods to ensure AI systems remain reliable under real-world variability, distribution shifts, and uncertainty. His research spans from theoretical foundations—such as density ratio estimation, parameter tuning, and adaptation—to applications in robustness evaluation, machine recalibration, optimization, and safety certification. Currently, he is the PI for Robust AI at the Institute for Machine Learning, Johannes Kepler University Linz.
Miscellany
- No personal interests or hobbies provided.
