Yann N. Dauphin
Scholar

Yann N. Dauphin

Google Scholar ID: XSforroAAAAJ
Google AI
Machine LearningArtificial Intelligence
Citations & Impact
All-time
Citations
31,654
 
H-index
43
 
i10-index
57
 
Publications
20
 
Co-authors
17
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Published influential papers such as 'Identifying and attacking the saddle point problem in high-dimensional non-convex optimization' (NIPS 2014), 'mixup: Beyond empirical risk minimization' (ICLR 2017), and 'Convolutional sequence to sequence learning' (ICML 2017). Won several awards including Best Paper Award at IEEE SPS 2020, Honorable Mention for Best Paper at NeurIPS 2011, etc.
Research Experience
  • Served as a researcher at Facebook AI Research from 2015 to 2018; joined Google Research in 2019.
Education
  • Completed his PhD at the University of Montreal under the supervision of Prof. Yoshua Bengio.
Background
  • A machine learning researcher focusing on understanding the fundamentals of deep learning algorithms and applying them across various applications. Worked at Facebook AI Research, contributing to the improvement of automatic translation on Facebook.com.
Miscellany
  • Delivered talks on topics like Tangent Propagation at ICML and Manifold Tangent Classifier at NIPS.