Scholar
Aaron Klein
Google Scholar ID: usl__skAAAAJ
ELLIS Institute Tübingen, ScaDS.AI
Citations & Impact
Citations
8,494
H-index
21
i10-index
30
Publications
20
Co-authors
0
Publications
Resume
Academic Achievements
- Received the Best Paper Award at the AutoML Conference in 2022 with co-authors; won the ChaLearn AutoML Challenge in 2015 with collaborators from the University of Freiburg; co-organized the Neural Architecture Search workshop at ICLR 2020 and ICLR 2021; served as the local chair for the AutoML Conference 2023; regularly reviews for top-tier venues including ICML, ICLR, NeurIPS, TMLR, and JMLR.
Research Experience
- Previously headed the AutoML research group at ScaDS.AI; worked as an applied scientist at AWS until 2024, where he was part of the SageMaker and Amazon Q teams; currently leading a research group at the ELLIS Institute Tübingen.
Education
- Earned his PhD in 2019 from the University of Freiburg in the machine learning lab under the supervision of Frank Hutter.
Background
- Research interests include AutoML, blackbox optimization (or gradient-free optimization), and model compression of large language models. Currently leads a research group at the ELLIS Institute Tübingen, focusing on developing foundation models for European languages.
Miscellany
- Looking for a PhD student to work on multi-objective neural architecture search with Pascal Kerschke; will give a talk at the AutoML Summer School 2025.