Scholar
Bálint Mucsányi
Google Scholar ID: NexA8EEAAAAJ
University of Tübingen
Citations & Impact
Citations
109
H-index
4
i10-index
3
Publications
13
Co-authors
19
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers including 'Trustworthy Machine Learning' (arXiv.org, 2023), 'URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates' (NeurIPS D&B, 2023). The latter won the Best Student Paper Award.
Research Experience
- Currently working in the STAI group at the University of Tübingen, supervised by Seong Joon Oh.
Education
- Received BSc degree in Computer Science from ELTE Eötvös Loránd University in 2021 (Grade: Outstanding) with the Best Thesis and Outstanding Student of the Faculty awards. Currently writing master's thesis about uncertainty quantification under the supervision of Seong Joon Oh and Michael Kirchhof.
Background
- Interests: Interested in probabilistic model architectures capable of representing different sources of uncertainty. Goal is to contribute to the theoretical foundations of uncertainty in machine learning while developing scalable practical solutions. Also excited about computer vision.
