Marco Prato

42 papers B 1Journal 33Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
A nested primal-dual iterated Tikhonov method for regularized convex optimization.
Comput. Optim. Appl.
Stefano Aleotti, Silvia Bonettini, Marco Donatelli, Marco Prato, Simone Rebegoldi
2025 J jnl
Computing
Int. J. Comput. Math.
Filippo Camellini, Giorgia Franchini, Marco Prato
2025 J jnl
Linesearch-Enhanced Forward-Backward Methods for Inexact Nonconvex Scenarios.
SIAM J. Imaging Sci.
Silvia Bonettini, Giorgia Franchini, Danilo Pezzi, Marco Prato
2024 J jnl
A new proximal heavy ball inexact line-search algorithm.
Comput. Optim. Appl.
Silvia Bonettini, Marco Prato, Simone Rebegoldi
2024 J jnl
Algorithmic unfolding for image reconstruction and localization problems in fluorescence microscopy.
CoRR
Silvia Bonettini, Luca Calatroni, Danilo Pezzi, Marco Prato
2024 J jnl
Guest Editorial JMIV Special Issue SSVM'23.
J. Math. Imaging Vis.
Luca Calatroni, Marco Donatelli, Serena Morigi, Marco Prato, Matteo Santacesaria
2023 J jnl
A nested primal-dual FISTA-like scheme for composite convex optimization problems.
Comput. Optim. Appl.
Silvia Bonettini, Marco Prato, Simone Rebegoldi
2023 J jnl
An abstract convergence framework with application to inertial inexact forward-backward methods.
Comput. Optim. Appl.
Silvia Bonettini, Peter Ochs, Marco Prato, Simone Rebegoldi
2023 J jnl
An abstract convergence framework with application to inertial inexact forward-backward methods.
CoRR
Silvia Bonettini, Peter Ochs, Marco Prato, Simone Rebegoldi
2023 J jnl
CTprintNet: An Accurate and Stable Deep Unfolding Approach for Few-View CT Reconstruction.
Algorithms
Elena Loli Piccolomini, Marco Prato, Margherita Scipione, Andrea Sebastiani
2023 J jnl
DCT-Former: Efficient Self-Attention with Discrete Cosine Transform.
J. Sci. Comput.
Carmelo Scribano, Giorgia Franchini, Marco Prato, Marko Bertogna
2023 J jnl
Denoising Diffusion Models on Model-Based Latent Space.
Algorithms
Carmelo Scribano, Danilo Pezzi, Giorgia Franchini, Marco Prato
2023 — ed.
Scale Space and Variational Methods in Computer Vision - 9th International Conference, SSVM 2023, Santa Margherita di Pula, Italy, May 21-25, 2023, Proceedings
SSVM
Luca Calatroni, Marco Donatelli, Serena Morigi, Marco Prato, Matteo Santacesaria
2022 J jnl
A fingerprint of a heterogeneous data set.
Adv. Data Anal. Classif.
Matteo Spallanzani, Gueorgui Mihaylov, Marco Prato, Roberto Fontana
2022 J jnl
Biomedical Image Classification via Dynamically Early Stopped Artificial Neural Network.
Algorithms
Giorgia Franchini, Micaela Verucchi, Ambra Catozzi, Federica Porta, Marco Prato
2022 J jnl
DCT-Former: Efficient Self-Attention with Discrete Cosine Transform.
CoRR
Carmelo Scribano, Giorgia Franchini, Marco Prato, Marko Bertogna
2022 J jnl
Deep Image Prior for medical image denoising, a study about parameter initialization.
Frontiers Appl. Math. Stat.
Davide Sapienza, Giorgia Franchini, Elena Govi, Marko Bertogna, Marco Prato
2022 J jnl
Explainable bilevel optimization: an application to the Helsinki deblur challenge.
CoRR
Silvia Bonettini, Giorgia Franchini, Danilo Pezzi, Marco Prato
2022 — conf
Learning the Image Prior by Unrolling an Optimization Method.
EUSIPCO
Silvia Bonettini, Giorgia Franchini, Danilo Pezzi, Marco Prato
2021 — conf
A comparison of nested primal-dual forward-backward methods for Poisson image deblurring.
ICCSA (Workshops)
Simone Rebegoldi, Silvia Bonettini, Marco Prato
2021 J jnl
Deep Neural Networks for Inverse Problems with Pseudodifferential Operators: An Application to Limited-Angle Tomography.
SIAM J. Imaging Sci.
Tatiana A. Bubba, Mathilde Galinier, Matti Lassas, Marco Prato, Luca Ratti, Samuli Siltanen
2021 J jnl
New convergence results for the inexact variable metric forward-backward method.
Appl. Math. Comput.
Silvia Bonettini, Marco Prato, Simone Rebegoldi
2020 — conf
A Hybrid Interior Point - Deep Learning Approach for Poisson Image Deblurring.
MLSP
Mathilde Galinier, Marco Prato, Emilie Chouzenoux, Jean-Christophe Pesquet
2020 J jnl
Convergence of Inexact Forward-Backward Algorithms Using the Forward-Backward Envelope.
SIAM J. Optim.
Silvia Bonettini, Marco Prato, Simone Rebegoldi
2020 J jnl
Deep neural networks for inverse problems with pseudodifferential operators: an application to limited-angle tomography.
CoRR
Tatiana A. Bubba, Mathilde Galinier, Matti Lassas, Marco Prato, Luca Ratti, Samuli Siltanen
2019 — conf
Efficient Block Coordinate Methods for Blind Cauchy Denoising.
NUMTA(1)
Simone Rebegoldi, Silvia Bonettini, Marco Prato
2019 B conf
Learned Image Deblurring by Unfolding a Proximal Interior Point Algorithm.
ICIP
Marie-Caroline Corbineau, Carla Bertocchi, Emilie Chouzenoux, Marco Prato, Jean-Christophe Pesquet
2018 J jnl
A block coordinate variable metric linesearch based proximal gradient method.
Comput. Optim. Appl.
Silvia Bonettini, Marco Prato, Simone Rebegoldi
2018 J jnl
Deep Unfolding of a Proximal Interior Point Method for Image Restoration.
CoRR
Carla Bertocchi, Emilie Chouzenoux, Marie-Caroline Corbineau, Jean-Christophe Pesquet, Marco Prato
2016 J jnl
A cyclic block coordinate descent method with generalized gradient projections.
Appl. Math. Comput.
Silvia Bonettini, Marco Prato, Simone Rebegoldi
2016 — conf
Phase estimation in differential-interference-contrast (DIC) microscopy.
ISBI
Lola Bautista, Simone Rebegoldi, Laure Blanc-Féraud, Marco Prato, Luca Zanni, Arturo Plata
2016 J jnl
Variable Metric Inexact Line-Search-Based Methods for Nonsmooth Optimization.
SIAM J. Optim.
Silvia Bonettini, Ignace Loris, Federica Porta, Marco Prato
2015 J jnl
A New Steplength Selection for Scaled Gradient Methods with Application to Image Deblurring.
J. Sci. Comput.
Federica Porta, Marco Prato, Luca Zanni
2015 J jnl
A Scaled Gradient Projection Method for Bayesian Learning in Dynamical Systems.
SIAM J. Sci. Comput.
Silvia Bonettini, Alessandro Chiuso, Marco Prato
2015 J jnl
A convergent least-squares regularized blind deconvolution approach.
Appl. Math. Comput.
Anastasia Cornelio, Federica Porta, Marco Prato
2015 — conf
Application of cyclic block generalized gradient projection methods to poisson blind deconvolution.
EUSIPCO
Simone Rebegoldi, Silvia Bonettini, Marco Prato
2014 J jnl
A scaled gradient projection method for Bayesian learning in dynamical systems.
CoRR
Silvia Bonettini, Alessandro Chiuso, Marco Prato
2013 J jnl
A New Semiblind Deconvolution Approach for Fourier-Based Image Restoration: An Application in Astronomy.
SIAM J. Imaging Sci.
Silvia Bonettini, Anastasia Cornelio, Marco Prato
2013 J jnl
A practical use of regularization for supervised learning with kernel methods.
Pattern Recognit. Lett.
Marco Prato, Luca Zanni
2011 J jnl
A regularization algorithm for decoding perceptual temporal profiles from fMRI data.
NeuroImage
Marco Prato, Stefania Favilla, Luca Zanni, Carlo A. Porro, Patrizia Baraldi
2009 J jnl
A Regularized Visibility-Based Approach to Astronomical Imaging Spectroscopy.
SIAM J. Imaging Sci.
Marco Prato, Michele Piana, A. Gordon Emslie, G. J. Hurford, Eduard P. Kontar, Anna Maria Massone
2009 — conf
From BOLD-fMRI signals to the prediction of subjective pain perception through a regularization algorithm.
EUSIPCO
Marco Prato, Stefania Favilla, Patrizia Baraldi, Carlo A. Porro, Luca Zanni