Scholar
Leo Schwinn
Google Scholar ID: PXT4k9cAAAAJ
Technical University of Munich
Citations & Impact
Citations
654
H-index
13
i10-index
16
Publications
20
Co-authors
17
list available
Publications
Resume (English only)
Academic Achievements
- Multiple papers accepted at top conferences such as NeurIPS, ICML, CVPR, and ICLR; received the ATE dissertation price; involved in various research projects like joint relational database generation, efficient time series processing, out-of-distribution filtering, and data discovery active learning.
Research Experience
- Worked as a Postdoc at FAU and as a machine learning engineer at Robert Bosch, focusing on robust computer vision for autonomous driving.
Education
- Ph.D. from Friedrich-Alexander University Erlangen-Nürnberg (FAU) under the supervision of Prof. Björn Eskofier. Conducted an internship at the Mila Quebec AI Institute under the supervision of Prof. Doina Precup.
Background
- Lecturer at the Technical University of Munich, interested in robust machine learning with a focus on data-efficient learning and robustness vulnerabilities of Large Language Models (LLMs). Currently the main organizer of the ICLR BlogPost Track.
Miscellany
- Member of ELLIS - the European Laboratory for Learning and Intelligent Systems; organizer/track chair of the ICLR Blogpost track 2024; one of the review process chairs of the 2024 Conference on Lifelong Learning Agents (CoLLAs).
