Scholar
Thomas M. Sutter
Google Scholar ID: eySN1UkAAAAJ
Postdoc, ETH Zurich
Citations & Impact
Citations
469
H-index
10
i10-index
10
Publications
20
Co-authors
10
list available
Publications
Resume (English only)
Academic Achievements
- Publications:
- - 'Two Is Better Than One: Aligned Representation Pairs for Anomaly Detection' in Transactions on Machine Learning Research.
- - 'Leveraging the Structure of Medical Data for Improved Representation Learning' submitted to ICML 2025 Workshop on FM4LS.
Research Experience
- Worked at ETH spin-off upicto (later sold to Logitech) for 4 years; currently a Postdoc.
Education
- Completed Master's in Electrical Engineering and Information Technology in 2014; started PhD in 2018 and successfully defended thesis on June 14, 2023.
Background
- Research Interests: Applying machine learning models to the medical domain; interested in generative models of multiple data types; trying to understand how different modalities can be combined to efficiently model inference and generative paths.
