Vivien Cabannes
Scholar

Vivien Cabannes

Google Scholar ID: SFv9wjUAAAAJ
Meta
Machine learningdeep learning theory
Citations & Impact
All-time
Citations
438
 
H-index
11
 
i10-index
11
 
Publications
20
 
Co-authors
10
list available
Resume (English only)
Academic Achievements
  • Published multiple papers in top conferences such as NeurIPS, ICML, ICLR; received Best Paper Award for Industry at ICASSP 2024.
Research Experience
  • Researcher at Meta AI (FAIR) since 2024.
Education
  • PhD from Ecole Normale Supérieure in 2022, supervised by Alessandro Rudi, Francis Bach, and others.
Background
  • Current research interests revolve around large-scale experimental design and understanding the core principles behind artificial intelligence.
Miscellany
  • Hobbies include creating art with AI and reflecting on the broader implications of technology on society.