Scholar
Vivien Cabannes
Google Scholar ID: SFv9wjUAAAAJ
Meta
Machine learning
deep learning theory
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Homepage
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Google Scholar
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Citations & Impact
All-time
Citations
438
H-index
11
i10-index
11
Publications
20
Co-authors
10
list available
Contact
CV
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GitHub
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Publications
6 items
Automatic Textbook Formalization
2026
Cited
0
Provable Benefits of In-Tool Learning for Large Language Models
2025
Cited
0
Asymmetric REINFORCE for off-Policy Reinforcement Learning: Balancing positive and negative rewards
2025
Cited
0
Unveiling Simplicities of Attention: Adaptive Long-Context Head Identification
2025
Cited
0
Easing Optimization Paths: a Circuit Perspective
2025
Cited
0
Clustering Head: A Visual Case Study of the Training Dynamics in Transformers
2024
Cited
0
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.
Co-authors
10 total
Alberto Bietti
Flatiron Institute, Simons Foundation
Francis Bach
Inria - Ecole Normale Supérieure
Alessandro Rudi
INRIA - École Normale Supérieure
Randall Balestriero
AI Researcher
Yann LeCun
Chief AI Scientist at Facebook & JT Schwarz Professor at the Courant Institute, New York University
Charles Arnal
Postdoctoral researcher, FAIR (Meta)
Leon Bottou
Facebook AI Research
thomas kerdreux
PhD at ENS Paris, Lead AI at Galeio
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