Marco Prato

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 32

Top Topics

Convex Optimization

Image Deblurring

Gradient Projection Method

Top Venues

Comput. Optim. Appl.

Appl. Math. Comput.

Publications

Luca Calatroni, Marco Donatelli, Serena Morigi, Marco Prato, Matteo Santacesaria
Guest Editorial JMIV Special Issue SSVM'23. J. Math. Imaging Vis. 66 (4) (2024)
Silvia Bonettini, Marco Prato, Simone Rebegoldi
A new proximal heavy ball inexact line-search algorithm. Comput. Optim. Appl. 88 (2) (2024)
Silvia Bonettini, Luca Calatroni, Danilo Pezzi, Marco Prato
Algorithmic unfolding for image reconstruction and localization problems in fluorescence microscopy. CoRR (2024)
Carmelo Scribano, Danilo Pezzi, Giorgia Franchini, Marco Prato
Denoising Diffusion Models on Model-Based Latent Space. Algorithms 16 (11) (2023)
Silvia Bonettini, Peter Ochs, Marco Prato, Simone Rebegoldi
An abstract convergence framework with application to inertial inexact forward-backward methods. Comput. Optim. Appl. 84 (2) (2023)
Silvia Bonettini, Peter Ochs, Marco Prato, Simone Rebegoldi
An abstract convergence framework with application to inertial inexact forward-backward methods. CoRR (2023)
Elena Loli Piccolomini, Marco Prato, Margherita Scipione, Andrea Sebastiani
CTprintNet: An Accurate and Stable Deep Unfolding Approach for Few-View CT Reconstruction. Algorithms 16 (6) (2023)
Carmelo Scribano, Giorgia Franchini, Marco Prato, Marko Bertogna
DCT-Former: Efficient Self-Attention with Discrete Cosine Transform. J. Sci. Comput. 94 (3) (2023)
Silvia Bonettini, Marco Prato, Simone Rebegoldi
A nested primal-dual FISTA-like scheme for composite convex optimization problems. Comput. Optim. Appl. 84 (1) (2023)
Silvia Bonettini, Giorgia Franchini, Danilo Pezzi, Marco Prato
Learning the Image Prior by Unrolling an Optimization Method. EUSIPCO (2022)
Matteo Spallanzani, Gueorgui Mihaylov, Marco Prato, Roberto Fontana
A fingerprint of a heterogeneous data set. Adv. Data Anal. Classif. 16 (3) (2022)
Silvia Bonettini, Giorgia Franchini, Danilo Pezzi, Marco Prato
Explainable bilevel optimization: an application to the Helsinki deblur challenge. CoRR (2022)
Davide Sapienza, Giorgia Franchini, Elena Govi, Marko Bertogna, Marco Prato
Deep Image Prior for medical image denoising, a study about parameter initialization. Frontiers Appl. Math. Stat. 8 (2022)
Giorgia Franchini, Micaela Verucchi, Ambra Catozzi, Federica Porta, Marco Prato
Biomedical Image Classification via Dynamically Early Stopped Artificial Neural Network. Algorithms 15 (10) (2022)
Carmelo Scribano, Giorgia Franchini, Marco Prato, Marko Bertogna
DCT-Former: Efficient Self-Attention with Discrete Cosine Transform. CoRR (2022)
Tatiana A. Bubba, Mathilde Galinier, Matti Lassas, Marco Prato, Luca Ratti, Samuli Siltanen
Deep Neural Networks for Inverse Problems with Pseudodifferential Operators: An Application to Limited-Angle Tomography. SIAM J. Imaging Sci. 14 (2) (2021)
Simone Rebegoldi, Silvia Bonettini, Marco Prato
A comparison of nested primal-dual forward-backward methods for Poisson image deblurring. ICCSA (Workshops) (2021)
Silvia Bonettini, Marco Prato, Simone Rebegoldi
New convergence results for the inexact variable metric forward-backward method. Appl. Math. Comput. 392 (2021)
Mathilde Galinier, Marco Prato, Émilie Chouzenoux, Jean-Christophe Pesquet
A Hybrid Interior Point - Deep Learning Approach for Poisson Image Deblurring. MLSP (2020)
Tatiana A. Bubba, Mathilde Galinier, Matti Lassas, Marco Prato, Luca Ratti, Samuli Siltanen
Deep neural networks for inverse problems with pseudodifferential operators: an application to limited-angle tomography. CoRR (2020)
Silvia Bonettini, Marco Prato, Simone Rebegoldi
Convergence of Inexact Forward-Backward Algorithms Using the Forward-Backward Envelope. SIAM J. Optim. 30 (4) (2020)
Simone Rebegoldi, Silvia Bonettini, Marco Prato
Efficient Block Coordinate Methods for Blind Cauchy Denoising. NUMTA(1) (2019)
Marie-Caroline Corbineau, Carla Bertocchi, Émilie Chouzenoux, Marco Prato, Jean-Christophe Pesquet
Learned Image Deblurring by Unfolding a Proximal Interior Point Algorithm. ICIP (2019)
Silvia Bonettini, Marco Prato, Simone Rebegoldi
A block coordinate variable metric linesearch based proximal gradient method. Comput. Optim. Appl. 71 (1) (2018)
Carla Bertocchi, Émilie Chouzenoux, Marie-Caroline Corbineau, Jean-Christophe Pesquet, Marco Prato
Deep Unfolding of a Proximal Interior Point Method for Image Restoration. CoRR (2018)
Lola Bautista, Simone Rebegoldi, Laure Blanc-Féraud, Marco Prato, Luca Zanni, Arturo Plata
Phase estimation in differential-interference-contrast (DIC) microscopy. ISBI (2016)
Silvia Bonettini, Marco Prato, Simone Rebegoldi
A cyclic block coordinate descent method with generalized gradient projections. Appl. Math. Comput. 286 (2016)
Silvia Bonettini, Ignace Loris, Federica Porta, Marco Prato
Variable Metric Inexact Line-Search-Based Methods for Nonsmooth Optimization. SIAM J. Optim. 26 (2) (2016)
Silvia Bonettini, Alessandro Chiuso, Marco Prato
A Scaled Gradient Projection Method for Bayesian Learning in Dynamical Systems. SIAM J. Sci. Comput. 37 (3) (2015)
Simone Rebegoldi, Silvia Bonettini, Marco Prato
Application of cyclic block generalized gradient projection methods to poisson blind deconvolution. EUSIPCO (2015)
Anastasia Cornelio, Federica Porta, Marco Prato
A convergent least-squares regularized blind deconvolution approach. Appl. Math. Comput. 259 (2015)
Federica Porta, Marco Prato, Luca Zanni
A New Steplength Selection for Scaled Gradient Methods with Application to Image Deblurring. J. Sci. Comput. 65 (3) (2015)
Silvia Bonettini, Alessandro Chiuso, Marco Prato
A scaled gradient projection method for Bayesian learning in dynamical systems. CoRR (2014)
Marco Prato, Luca Zanni
A practical use of regularization for supervised learning with kernel methods. Pattern Recognit. Lett. 34 (6) (2013)
Silvia Bonettini, Anastasia Cornelio, Marco Prato
A New Semiblind Deconvolution Approach for Fourier-Based Image Restoration: An Application in Astronomy. SIAM J. Imaging Sci. 6 (3) (2013)
Marco Prato, Stefania Favilla, Luca Zanni, Carlo A. Porro, Patrizia Baraldi
A regularization algorithm for decoding perceptual temporal profiles from fMRI data. NeuroImage 56 (1) (2011)
Marco Prato, Michele Piana, A. Gordon Emslie, G. J. Hurford, Eduard P. Kontar, Anna Maria Massone
A Regularized Visibility-Based Approach to Astronomical Imaging Spectroscopy. SIAM J. Imaging Sci. 2 (3) (2009)
Marco Prato, Stefania Favilla, Patrizia Baraldi, Carlo A. Porro, Luca Zanni
From BOLD-fMRI signals to the prediction of subjective pain perception through a regularization algorithm. EUSIPCO (2009)