Maël Chaumette
Ph.D Student
ENS de Lyon / Inria
Biography
I am a Ph.D Student in Inria Lyon under the supervision of Rémi Gribonval and Elisa Riccietti, in the OCKHAM team led by Rémi Gribonval, working on the quantization and optimization of neural networks, studying their invariance by rescaling.
My Ph.D is financed by the project SHARP of the PEPR-IA.
You can find more details on my resume.
Interests
- Artificial Intelligence
- Machine Learning
- Statistics
- Data Science
Education
-
MSc in Data Science, 2021 - 2024
ENSAI
-
BSc in Mathematics, 2021
University of Rennes
Publications
(2025).
A multilevel approach to accelerate the training for Transformers.
Submitted to GRETSI.
(2025).
CROQuant: Complex Rank-One Quantization Algorithm.
Submitted to GRETSI.
Teaching
ENS de Lyon: Algorithms 1 L3 (2024-2025)
TA of Stephan Thomassé, 32h
TA of Stephan Thomassé, 32h
Contact
- mael.chaumette [@] inria [dot] fr / mael.chaumette [@] ens-lyon [dot] fr
- 46 allée d'Italie, Lyon, 69 007