Program of ISCS Workshop

2-3 June 2025

Luxembourg City

Program at a Glance

 

Table of Contents

[Day 1] June 2

Lecture 1: Mathematics of Computational Imaging Systems, by Nelly Pustelnik (ENS Lyon, France)

1- Introduction to inverse problems in imaging

2- From sparsity-driven proximal algorithms to deep learning
 2.1- Sparsity in image processing
 2.2- Proximal algorithms for convex optimization
 2.3- Proximal algorithms for nonconvex optimization
 2.4- Neural networks and its link to proximal algorithms

3- Model based neural networks
 3.1- Plug-and-play algorithms
 3.2- Unfolded neural network

Lecture 2: Physics of Computational Imaging Systems, by Gail McConnell (Uni. of Strathclyde, Scotland)


[Day 2] June 3

Track 1: DeepInverse: A Pytorch Library For Solving Imaging Inverse Problems With Deep Learning, by Julian Tachella (ENS Lyon, France), Matthieu Terris (INRIA, France), and Samuel Hurault (CNRS, France)

Track 2: Build Your Own Radar with MIT’s Next-Generation Kit, by Bradley T. Perry and Kenneth E. Kolodziej (MIT, USA)