Johannes Kepler University Linz
Antoine BordesChief Scientist · HelsingResearcher↗Both at Helsing
Researcher · Engineer
Thomas Unterthiner
HelsingAI Research Engineer
Unterthiner co-created FID, one of the most widely used ways to evaluate AI-generated images, and helped develop self-normalizing neural networks, which keep information more stable as it passes through a deep model.
Career & education
Current roleHelsing2024-presentAI Research Engineer
Helsing2024-presentPreviously
Google DeepMind2023-2024Research Engineer
Google2019-2023Research Software Engineer
Google DeepMind2023-2024Google2019-2023Education
Work and education history is primarily focused on AI-relevant roles and may not be comprehensive.
Citation Trend
Total citations to scholarly work, including research papers, technical reports, books and theses, as recorded by Google Scholar. Each point is a dated snapshot.
citations172,147As of Nov 1, '26
citations+4,840Since last snapshot, Oct 1, '26
Selected contributions
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
With Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Mostafa Dehghani, Matthias Minderer and others ·The Vision Transformer recognizes images by treating patches like words in a sequence.
Based on public sources. If accuracy is important, verify details using the links or references.
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Reviewed August 9, 2026 · Checked for accuracy and new information.