Marco Prato

Orcid: 0000-0002-7327-3347

Affiliations:
  • University of Modena and Reggio Emilia


According to our database1, Marco Prato authored at least 31 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
CTprintNet: An Accurate and Stable Deep Unfolding Approach for Few-View CT Reconstruction.
Algorithms, June, 2023

An abstract convergence framework with application to inertial inexact forward-backward methods.
Comput. Optim. Appl., March, 2023

DCT-Former: Efficient Self-Attention with Discrete Cosine Transform.
J. Sci. Comput., February, 2023

A nested primal-dual FISTA-like scheme for composite convex optimization problems.
Comput. Optim. Appl., 2023

Denoising Diffusion Models on Model-Based Latent Space.
Algorithms, 2023

2022
Deep Image Prior for medical image denoising, a study about parameter initialization.
Frontiers Appl. Math. Stat., 2022

Explainable bilevel optimization: an application to the Helsinki deblur challenge.
CoRR, 2022

Biomedical Image Classification via Dynamically Early Stopped Artificial Neural Network.
Algorithms, 2022

A fingerprint of a heterogeneous data set.
Adv. Data Anal. Classif., 2022

Learning the Image Prior by Unrolling an Optimization Method.
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.
SIAM J. Imaging Sci., 2021

New convergence results for the inexact variable metric forward-backward method.
Appl. Math. Comput., 2021

A comparison of nested primal-dual forward-backward methods for Poisson image deblurring.
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.
SIAM J. Optim., 2020

A Hybrid Interior Point - Deep Learning Approach for Poisson Image Deblurring.
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

2019
Efficient Block Coordinate Methods for Blind Cauchy Denoising.
Proceedings of the Numerical Computations: Theory and Algorithms, 2019

Learned Image Deblurring by Unfolding a Proximal Interior Point Algorithm.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018
Deep Unfolding of a Proximal Interior Point Method for Image Restoration.
CoRR, 2018

A block coordinate variable metric linesearch based proximal gradient method.
Comput. Optim. Appl., 2018

2016
Variable Metric Inexact Line-Search-Based Methods for Nonsmooth Optimization.
SIAM J. Optim., 2016

A cyclic block coordinate descent method with generalized gradient projections.
Appl. Math. Comput., 2016

Phase estimation in differential-interference-contrast (DIC) microscopy.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
A Scaled Gradient Projection Method for Bayesian Learning in Dynamical Systems.
SIAM J. Sci. Comput., 2015

A New Steplength Selection for Scaled Gradient Methods with Application to Image Deblurring.
J. Sci. Comput., 2015

A convergent least-squares regularized blind deconvolution approach.
Appl. Math. Comput., 2015

Application of cyclic block generalized gradient projection methods to poisson blind deconvolution.
Proceedings of the 23rd European Signal Processing Conference, 2015

2013
A New Semiblind Deconvolution Approach for Fourier-Based Image Restoration: An Application in Astronomy.
SIAM J. Imaging Sci., 2013

A practical use of regularization for supervised learning with kernel methods.
Pattern Recognit. Lett., 2013

2011
A regularization algorithm for decoding perceptual temporal profiles from fMRI data.
NeuroImage, 2011

2009
A Regularized Visibility-Based Approach to Astronomical Imaging Spectroscopy.
SIAM J. Imaging Sci., 2009

From BOLD-fMRI signals to the prediction of subjective pain perception through a regularization algorithm.
Proceedings of the 17th European Signal Processing Conference, 2009


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