Marco Prato

According to our database, Marco Prato authored at least 34 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Guest Editorial JMIV Special Issue SSVM'23.

Luca Calatroni, Marco Donatelli, Serena Morigi, Marco Prato, Matteo Santacesaria

J. Math. Imaging Vis., August, 2024

A new proximal heavy ball inexact line-search algorithm.

Silvia Bonettini, Marco Prato, Simone Rebegoldi

Comput. Optim. Appl., June, 2024

Algorithmic unfolding for image reconstruction and localization problems in fluorescence microscopy.

Silvia Bonettini, Luca Calatroni, Danilo Pezzi, Marco Prato

CoRR, 2024

2023

CTprintNet: An Accurate and Stable Deep Unfolding Approach for Few-View CT Reconstruction.

Elena Loli Piccolomini, Marco Prato, Margherita Scipione, Andrea Sebastiani

Algorithms, June, 2023

An abstract convergence framework with application to inertial inexact forward-backward methods.

Silvia Bonettini, Peter Ochs, Marco Prato, Simone Rebegoldi

Comput. Optim. Appl., March, 2023

DCT-Former: Efficient Self-Attention with Discrete Cosine Transform.

Carmelo Scribano, Giorgia Franchini, Marco Prato, Marko Bertogna

J. Sci. Comput., February, 2023

A nested primal-dual FISTA-like scheme for composite convex optimization problems.

Silvia Bonettini, Marco Prato, Simone Rebegoldi

Comput. Optim. Appl., 2023

Denoising Diffusion Models on Model-Based Latent Space.

Carmelo Scribano, Danilo Pezzi, Giorgia Franchini, Marco Prato

Algorithms, 2023

2022

Deep Image Prior for medical image denoising, a study about parameter initialization.

Davide Sapienza, Giorgia Franchini, Elena Govi, Marko Bertogna, Marco Prato

Frontiers Appl. Math. Stat., 2022

Explainable bilevel optimization: an application to the Helsinki deblur challenge.

Silvia Bonettini, Giorgia Franchini, Danilo Pezzi, Marco Prato

CoRR, 2022

Biomedical Image Classification via Dynamically Early Stopped Artificial Neural Network.

Giorgia Franchini, Micaela Verucchi, Ambra Catozzi, Federica Porta, Marco Prato

Algorithms, 2022

A fingerprint of a heterogeneous data set.

Matteo Spallanzani, Gueorgui Mihaylov, Marco Prato, Roberto Fontana

Adv. Data Anal. Classif., 2022

Learning the Image Prior by Unrolling an Optimization Method.

Silvia Bonettini, Giorgia Franchini, Danilo Pezzi, Marco Prato

Proceedings of the 30th European Signal Processing Conference, 2022

2021

Deep Neural Networks for Inverse Problems with Pseudodifferential Operators: An Application to Limited-Angle Tomography.

Tatiana A. Bubba, Mathilde Galinier, Matti Lassas, Marco Prato, Luca Ratti, Samuli Siltanen

SIAM J. Imaging Sci., 2021

New convergence results for the inexact variable metric forward-backward method.

Silvia Bonettini, Marco Prato, Simone Rebegoldi

Appl. Math. Comput., 2021

A comparison of nested primal-dual forward-backward methods for Poisson image deblurring.

Simone Rebegoldi, Silvia Bonettini, Marco Prato

Proceedings of the 2021 21st International Conference on Computational Science and Its Applications (ICCSA), Cagliari, Italy, September 13-16, 2021, 2021

2020

Convergence of Inexact Forward-Backward Algorithms Using the Forward-Backward Envelope.

Silvia Bonettini, Marco Prato, Simone Rebegoldi

SIAM J. Optim., 2020

A Hybrid Interior Point - Deep Learning Approach for Poisson Image Deblurring.

Mathilde Galinier, Marco Prato, Emilie Chouzenoux, Jean-Christophe Pesquet

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

2019

Efficient Block Coordinate Methods for Blind Cauchy Denoising.

Simone Rebegoldi, Silvia Bonettini, Marco Prato

Proceedings of the Numerical Computations: Theory and Algorithms, 2019

Learned Image Deblurring by Unfolding a Proximal Interior Point Algorithm.

Marie-Caroline Corbineau, Carla Bertocchi, Emilie Chouzenoux, Marco Prato, Jean-Christophe Pesquet

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Deep Unfolding of a Proximal Interior Point Method for Image Restoration.

Carla Bertocchi, Emilie Chouzenoux, Marie-Caroline Corbineau, Jean-Christophe Pesquet, Marco Prato

CoRR, 2018

A block coordinate variable metric linesearch based proximal gradient method.

Silvia Bonettini, Marco Prato, Simone Rebegoldi

Comput. Optim. Appl., 2018

2016

Variable Metric Inexact Line-Search-Based Methods for Nonsmooth Optimization.

Silvia Bonettini, Ignace Loris, Federica Porta, Marco Prato

SIAM J. Optim., 2016

A cyclic block coordinate descent method with generalized gradient projections.

Silvia Bonettini, Marco Prato, Simone Rebegoldi

Appl. Math. Comput., 2016

Phase estimation in differential-interference-contrast (DIC) microscopy.

Lola Bautista, Simone Rebegoldi, Laure Blanc-Féraud, Marco Prato, Luca Zanni, Arturo Plata

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015

A Scaled Gradient Projection Method for Bayesian Learning in Dynamical Systems.

Silvia Bonettini, Alessandro Chiuso, Marco Prato

SIAM J. Sci. Comput., 2015

A New Steplength Selection for Scaled Gradient Methods with Application to Image Deblurring.

Federica Porta, Marco Prato, Luca Zanni

J. Sci. Comput., 2015

A convergent least-squares regularized blind deconvolution approach.

Anastasia Cornelio, Federica Porta, Marco Prato

Appl. Math. Comput., 2015

Application of cyclic block generalized gradient projection methods to poisson blind deconvolution.

Simone Rebegoldi, Silvia Bonettini, Marco Prato

Proceedings of the 23rd European Signal Processing Conference, 2015

2013

A New Semiblind Deconvolution Approach for Fourier-Based Image Restoration: An Application in Astronomy.

Silvia Bonettini, Anastasia Cornelio, Marco Prato

SIAM J. Imaging Sci., 2013

A practical use of regularization for supervised learning with kernel methods.

Marco Prato, Luca Zanni

Pattern Recognit. Lett., 2013

2011

A regularization algorithm for decoding perceptual temporal profiles from fMRI data.

Marco Prato, Stefania Favilla, Luca Zanni, Carlo A. Porro, Patrizia Baraldi

NeuroImage, 2011

2009

A Regularized Visibility-Based Approach to Astronomical Imaging Spectroscopy.

Marco Prato, Michele Piana, A. Gordon Emslie, G. J. Hurford, Eduard P. Kontar, Anna Maria Massone

SIAM J. Imaging Sci., 2009

From BOLD-fMRI signals to the prediction of subjective pain perception through a regularization algorithm.

Marco Prato, Stefania Favilla, Patrizia Baraldi, Carlo A. Porro, Luca Zanni

Proceedings of the 17th European Signal Processing Conference, 2009