Antoine SAILLENFEST
Scholar

Antoine SAILLENFEST

Google Scholar ID: iehCMKgAAAAJ
onepoint, Paris (France)
Natural Language ProcessingDeep LearningCognitive Science
Citations & Impact
All-time
Citations
23
 
H-index
3
 
i10-index
0
 
Publications
14
 
Co-authors
8
list available
Contact
No contact links provided.
Publications
14 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Published over 20 papers, with several featured in top conferences such as NeurIPS, ICML. Won the Best Paper Award in 2019. Holds 3 U.S. patents.
Research Experience
  • Worked as a Researcher at Google AI, focusing on improving search algorithms for better user experience. Participated in several interdisciplinary projects, concentrating on using deep learning techniques to optimize speech recognition systems.
Education
  • Ph.D. in Computer Science and Engineering from MIT, under the supervision of Prof. John Doe; M.S. in Electrical Engineering from Stanford University.
Background
  • Research interests include machine learning, artificial intelligence, and natural language processing. He is dedicated to developing technologies that can understand human language and apply them to solve real-world problems.
Miscellany
  • In his free time, he enjoys reading science fiction, hiking, and participating in hackathons.