Program

Wednesday 4 September 2024

Welcome and Registration 10:00 - 11:00

11:00 - 11:10

Opening

Marco Prato, Università di Modena e Reggio Emilia

11:10 - 11:50

Off-the-grid regularisation promoting curves for inverse problems in imaging

Laure Blanc-Féraud, CNRS, Université Côte d’Azur, Inria Sophia Antipolis-Mediterranée

11:50 - 12:30

Differentiating nonsmooth solutions to parametric monotone inclusion problems

Antonio Silveti-Falls, CentraleSupélec, Paris

Lunch break 12:30 - 2:00

2:00 - 2:40

Learning of optimization algorithms with convergence rates

Peter Ochs, Saarland University

2:40 - 3:20

In search for a personalized Diffuse Optical Tomography, mathematical and computational challenge

Giovanni Naldi, Università di Milano

Coffee break 3:20 - 3:50

3:50 - 4:30

A modular deep learning-based approach for Diffuse Optical Tomography reconstruction

Alessandro Benfenati, Università di Milano

4:30 - 5:10

Space-variant regularization boosted by learning techniques for tomographic imaging

Elena Morotti, Università di Bologna

Thursday 5 September 2024

9:20 - 10:00

Exact continuous Bregman relaxations of $\ell_0$-regularised criteria with non-quadratic data terms

Luca Calatroni, CNRS, Université Côte d’Azur, Inria Sophia Antipolis-Mediterranée

10:00 - 10:40

Fast first-order methods for dynamic and PDE-constrained inverse problems, as well as bilevel learning

Tuomo Valkonen, Escuela Politécnica Nacional, Quito

Coffee break 10:40 - 11:10

11:10 - 11:50

Diffusion-based models meet image priors

Erich Kobler, University Hospital Bonn

11:50 - 12:30

Poster session

Lunch break 12:30 - 2:00

Afternoon session dedicated to the memory of Mario Bertero

2:00 - 2:10

Session opening

Alessandro Verri, Università di Genova

2:10 - 2:50

On the square-root LASSO

Christine De Mol, Université libre de Bruxelles

2:50 - 3:30

Image scanning microscopy with single-photon array detectors: A new technology for an old inverse problem

Giuseppe Vicidomini, Istituto Italiano di Tecnologia

Coffee break 3:30 - 4:00

4:00 - 4:40

Implicit regularization by overparametrization

Silvia Villa, Università di Genova

4:40 - 5:20

Risk estimation for Poisson inverse problems

Federico Benvenuto, Università di Genova

Social event & dinner 6:30 - 11:30

Friday 6 September 2024

9:20 - 10:00

Stochastic optimisation for large-scale inverse problems

Matthias Ehrhardt, University of Bath

10:00 - 10:40

Line search based stochastic gradient methods for learning applications

Federica Porta, Università di Modena e Reggio Emilia

Coffee break 10:40 - 11:10

11:10 - 11:50

Spectral stochastic gradient method with additional sampling for finite and infinite sums

Natasa Krklec Jerinkic, University of Novi Sad

11:50 - 12:30

Randomized Gauss-Newton methods for large scale nonlinear least squares

Greta Malaspina, Università di Firenze

Lunch break 12:30 - 2:00

2:00 - 2:40

Preconditioning strategies for a nested primal-dual method

Marco Donatelli, Università dell'Insubria

2:40 - 3:20

Regularisation with optimal space-time priors

Tatiana A. Bubba, University of Bath

Closing 3:20 - 3:30

Page updated

Google Sites

Report abuse