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
Deep Learning
Quantization

Education

MSc in Data Science, 2021 - 2024

ENSAI
BSc in Mathematics, 2021

University of Rennes

Publications

Maël Chaumette, Rémi Gribonval, Elisa Riccietti (2026). CROQuant: Complex Rank-One Quantization Algorithm, with Application to Butterfly Factorizations. Submitted at ACM Transactions on Mathematical Software.

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Guillaume Lauga, Maël Chaumette, Edgar Desainte-Maréville, Étienne Lassalle, Arthur Lebeurrier (2025). A multilevel approach to accelerate the training for Transformers. GRETSI.

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Maël Chaumette, Rémi Gribonval, Elisa Riccietti (2025). CROQuant: Complex Rank-One Quantization Algorithm. GRETSI.

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Talks

RAIM, CROQuant: Complex Rank-One Quantization Algorithm
Nov 2025 - Lyon, 69000

GRETSI (French Colloque), CROQuant: Complex Rank-One Quantization Algorithm
Aug 2025 - Strasbourg, 67000

Teaching

ENS de Lyon: Machine Learning L3 (2025-2026)
TA of Mathurin Massias, 32h

ENS de Lyon: Algorithms 1 L3 (2024-2025)
TA of Stephan Thomassé, 32h

Contact

mael.chaumette [@] inria [dot] fr / mael.chaumette [@] ens-lyon [dot] fr
46 allée d'Italie, Lyon, 69 007