5 citations · 6 across the 4 of their papers we have counts for
4 papers
Off-the-grid regularisation for Poisson inverse problems
Marta Lazzaretti, Claudio Estatico, Alejandro Melero +1
Off-the-grid regularisation has been extensively employed over the last decade in the context of ill-posed inverse problems formulated in the continuous setting of the space of Rad…
Stochastic gradient descent for linear inverse problems in variable exponent Lebesgue spaces
Marta Lazzaretti, Zeljko Kereta, Luca Calatroni +1
We consider a stochastic gradient descent (SGD) algorithm for solving linear inverse problems (e.g., CT image reconstruction) in the Banach space framework of variable exponent Leb…
Modular-proximal gradient algorithms in variable exponent Lebesgue spaces
Marta Lazzaretti, Luca Calatroni, Claudio Estatico
We consider structured optimisation problems defined in terms of the sum of a smooth and convex function, and a proper, l.s.c., convex (typically non-smooth) one in reflexive varia…
Weighted-CEL0 sparse regularisation for molecule localisation in super-resolution microscopy with Poisson data
Marta Lazzaretti, Luca Calatroni, Claudio Estatico
We propose a continuous non-convex variational model for Single Molecule Localisation Microscopy (SMLM) super-resolution in order to overcome light diffraction barriers. Namely, we…