Guillaume Lauga

I'm a postdoctoral researcher at Université Côte d'Azur with Samuel Vaiter. I defended my thesis in December 2024 at ENS Lyon, supervised by Paulo Gonçalves, Elisa Riccietti and Nelly Pustelnik. I was a member of the Inria OCKHAM team.

During my PhD, I worked on multilevel optimization methods for proximal based algorithms, with applications to image restoration problems.

Email  /  CV  /  Scholar  /  Github

Research

I'm interested in optimization for imaging applications. Since the start of my PhD I investigate the convergence of proximal algorithms tailored for large-scale problems. Such algorithms can take the form of multilevel algorithms but also block-coordinate descent algorithms, which are often used in imaging applications. I also try to apply these algorithms to as many challenging imaging problems I can.

Repository containing a Python implementation of three multilevel algorithms: IML FB, IML FISTA and IML PNP to be compared to their single level counterparts. The code is compatible with the DeepInverse package, which allows to easily change the imaging application.

IML FISTA: An Inexact Multilevel FISTA. Optimal convergence guarantees on non-smooth convex optimization problems and ability to handle inexact computation of the proximity operator. Some applications to restoration of color and hyperspectral images.

Application of IML FISTA to solve radio-interferometric imaging problems. Hierarchy of approximations built in the observation space rather than in the parameter space.

Website source code from here.