Scholar
Johannes Zenn
Google Scholar ID: QYZmWP8AAAAJ
University of Tübingen, Tübingen AI Center, IMPRS-IS
Citations & Impact
Citations
40
H-index
3
i10-index
1
Publications
8
Co-authors
4
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers in various conferences and journals, including ICML, NeurIPS, ICLR, etc. Involved in research projects such as using LLMs for traditional AI planning, large language models' performance in sampling from Bernoulli distributions, generalization in VAEs, and more.
Research Experience
- Spent four months as a research intern in Roger Grosse’s group at the Vector Institute; relaunched FridayTalks@Tübingen, a bi-weekly AI research seminar for the Tübingen AI ecosystem.
Education
- PhD student at the University of Tübingen, supervised by Robert Bamler and Jonas Geiping. Affiliated with the Tübingen AI Center and the International Max Planck Research School for Intelligent Systems, funded by the Cluster of Excellence Machine Learning.
Background
- PhD student in Machine Learning, with research interests in deep (probabilistic) models and efficient inference methods for large (language) models.
Miscellany
- Personal interests not mentioned
