Guillaume Lauga

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I am preparing a PhD at École Normale Supérieure de Lyon since November 2021 under the supervision of Paulo Goncalves, Elisa Riccietti and Nelly Pustelnik.
I am a member of the Inria OCKHAM team of the LIP laboratory and my PhD is funded by Inria.
My work focuses on multilevel optimization methods for proximal based algorithms.
Contact : guillaume.lauga [@] ens-lyon [DOT] fr, guillaume.lauga [@] inria [DOT] fr.

News

  • (March 14 2024) Our paper on IML FISTA has been accepted for publication in SIAM Journal on Imaging Sciences:
  • Reconstructed images with IML FISTA
  • Reconstructed hyperspectral image (source) with IML FISTA vs FISTA at 2 iterations and after 14h (end) of CPU time

Publications

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.
  • Optmization 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:

  • Ph.D. Student in Applied Mathematics, 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