Scholar
Metod Jazbec
Google Scholar ID: lDEYafIAAAAJ
University of Amsterdam
Citations & Impact
Citations
88
H-index
5
i10-index
3
Publications
12
Co-authors
20
list available
Publications
Resume (English only)
Academic Achievements
- Selected publications: 'Generative Uncertainty in Diffusion Models' (UAI, 2025), 'Fast yet Safe: Early-Exiting with Risk Control' (NeurIPS, 2024).
Research Experience
- Gained industry experience working as a data scientist and quantitative engineer; was also a research intern at Microsoft (Cambridge, UK) and Apple (Paris).
Education
- Completed a Master's in Data Science at ETH Zurich; currently a PhD student at the University of Amsterdam, supervised by Eric Nalisnick, and co-supervised by Dan Zhang and Stephan Mandt.
Background
- PhD student at the University of Amsterdam, Informatics Institute. Main topics of interest include uncertainty quantification, generative modeling, and efficient AI.
