Guillaume Lauga
I obtained my PhD at École Normale Supérieure de Lyon in December 2024 under the supervision of
Paulo Gonçalves,
Elisa Riccietti and
Nelly Pustelnik.
I was a member of the Inria OCKHAM team
of the LIP laboratory, funded by Inria.
During my PhD my work focused on multilevel optimization methods for proximal based algorithms, with applications to image restoration problems. Adjacently, I am interested in everything related to deep learning methods.
Contact : guillaume.lauga [@] ens-lyon [DOT] fr, guillaume.lauga [@] inria [DOT] fr. Tel: (+33)684021194.
News
- (December 17, 2024) I successfully defended my thesis! Thanks a lot to Aude Rondepierre, Bruno Torresani, Jean-Christophe Pesquet, Panos Parpas and Ivan Selesnick for accepting to be part of the jury!
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Publications
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A multilevel framework for accelerating uSARA in radio-interferometric imaging
G. Lauga, A. Repetti, E. Riccietti, N. Pustelnik, P. Gonçalves, Y. Wiaux.
EUSIPCO, Lyon, 2024. -
IML FISTA: A Multilevel Framework for Inexact and Inertial Forward-Backward. Application to Image Restoration
G. Lauga, E. Riccietti, N. Pustelnik, P. Gonçalves.
SIAM Journal on Imaging Sciences 17 (3), 1347-1376, 2024. [CODE] -
Méthodes multi-niveaux pour la restauration d'images hyperspectrales
G. Lauga, E. Riccietti, N. Pustelnik, P. Gonçalves.
Colloque GRETSI, September 2023. -
Sparsity in neural networks can improve their privacy
A. Gonon, L. Zheng, C. Lalanne, Q.-T. Le, G. Lauga, C. Pouliquen.
Colloque GRETSI, September 2023. -
Multilevel FISTA for Image Restoration
G. Lauga, E. Riccietti, N. Pustelnik, P. Gonçalves.
ICASSP, June 2023. -
Méthodes proximales multi-niveaux pour la restauration d'images
G. Lauga, E. Riccietti, N. Pustelnik, P. Gonçalves.
Colloque GRETSI, September 2022.
Talks
- Multilevel Proximal Methods for Image Restoration: Application to Radio-interferometric Imaging, EURO, Copenhagen, June 30-July 3 2024
- Multilevel Proximal Methods for Image Restoration, RICAM Seminar, Johannes Kepler Institute, Linz, June 24, 2024
- Multilevel Proximal Methods for Image Restoration: Application to Radio-interferometric Imaging, SIAM Linear Algebra, Paris, May 13-17, 2024
- Multilevel Proximal Methods for Image Restoration, Séminaire Contrôle et Optimisation, Insa Rouen, April 23, 2024
- Multilevel Proximal Methods for Image Restoration, Seminar at Heriot-Watt University, Edinburgh, April 15, 2024
- Multilevel Proximal Methods for Image Restoration: Application to Radio-Interferometry, SMAI MODE, Lyon, March 26-29, 2024
- Multilevel Proximal Methods for Image Restoration, Workshop on Optimization, Berlin, June 14-16, 2023
- Multilevel Proximal Methods for Image Restoration, Optimization and Control in Burgundy, May 9-11, 2023 [SLIDES]
- Multilevel Proximal Methods for Image Restoration, Séminaire Images Optimisation et Probabilités, Institut de Mathématiques de Bordeaux, May 4, 2023
- Multilevel Proximal Methods for Image Restoration, SIAM CSE 2023 [SLIDES]
Teaching
2023-2024:
Teaching assistant at École Normale Supérieure de Lyon:
- Fundamentals of Machine Learning M1, 10h of tutorials.
- Optimization M1, 28h of tutorials.
2022-2023:
Teaching assistant at École Centrale de Lyon:
- Analyse appliquée, (Optimization and measure theory) 1st year of engineering school, 40h of tutorials.
2021-2022:
Teaching assistant at Université Claude Bernard Lyon 1:
- Fondamentaux des Mathématiques 1, Bachelor of Informatics and Mathematics (1st year), 45h of tutorials.
- Fondamentaux des Mathématiques 2, Bachelor of Informatics and Mathematics (1st year), 19h of oral examinations.
Curriculum
Education:
- PhD in Optimization, ENS de Lyon, 2021-2024
- Engineering School (Applied Mathematics), École Centrale de Lyon, 2017-2021
- M.Sc. in Applied Mathematics, ECL, Université Lyon 1 and ENS Lyon, 2020-2021
- B.Sc. in General Mathematics, Université Lyon 1, 2018-2019