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Yann Dauphin portrait

Researcher

Yann Dauphin

Google DeepMindResearch Scientist

Dauphin introduced techniques that became standard building blocks in deep learning. Gated Linear Units improved how information flows through sequence models, Mixup made models more robust by training on blended examples, and top-k sampling helped control the quality of generated text.

Career & education

Current role
Jan 2019-present
Research Scientist
Previously
2015-2019
Research Scientist

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.
1 snapshots
Citation snapshot on Oct 21, '2651,469Oct 21, '26
citations51,469As of Oct 21, '26
For today’s citation count and per work, visit Google Scholar.

Updates 1

About this profile

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Reviewed August 4, 2026 · Checked for accuracy and new information.

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