Marco Viola

According to our database, Marco Viola authored at least 23 papers between 2015 and 2025.

Collaborative distances:

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

2025

A Scaled Gradient Projection method for the realization of the balancing principle in TGV-based image restoration.

Germana Landi, Marco Viola, Fabiana Zama

Comput. Optim. Appl., June, 2025

An algorithm for a constrained P-spline.

Rosanna Campagna, Serena Crisci, Gabriele Santin, Gerardo Toraldo, Marco Viola

CoRR, January, 2025

2024

On the stationarity for nonlinear optimization problems with polyhedral constraints.

Daniela di Serafino, William W. Hager, Gerardo Toraldo, Marco Viola

Math. Program., May, 2024

Barzilai-Borwein-like rules in proximal gradient schemes for ℓ ₁ -regularized problems.

Serena Crisci, Simone Rebegoldi, Gerardo Toraldo, Marco Viola

Optim. Methods Softw., 2024

Exploring the Potential of Bilevel Optimization for Calibrating Neural Networks.

Gabriele Sanguin, Arjun Pakrashi, Marco Viola, Francesco Rinaldi

Proceedings of The 32nd Irish Conference on Artificial Intelligence and Cognitive Science, 2024

2023

On the Adaptive Penalty Parameter Selection in ADMM.

Serena Crisci, Valentina De Simone, Marco Viola

Algorithms, June, 2023

Cartoon-texture evolution for two-region image segmentation.

Laura Antonelli, Valentina De Simone, Marco Viola

Comput. Optim. Appl., 2023

Segmenting MR Images Through Texture Extraction and Multiplicative Components Optimization.

Laura Antonelli, Valentina De Simone, Marco Viola

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023

Combined First- and Second-Order Directions for Deep Neural Networks Training.

Ángeles Martínez, Marco Viola, Mahsa Yousefi

Proceedings of the Numerical Computations: Theory and Algorithms, 2023

2022

LSOS: Line-search second-order stochastic optimization methods for nonconvex finite sums.

Daniela di Serafino, Natasa Krejic, Natasa Krklec Jerinkic, Marco Viola

Math. Comput., November, 2022

Sparse Approximations with Interior Point Methods.

Valentina De Simone, Daniela di Serafino, Jacek Gondzio, Spyridon Pougkakiotis, Marco Viola

SIAM Rev., 2022

2021

Directional TGV-Based Image Restoration under Poisson Noise.

Daniela di Serafino, Germana Landi, Marco Viola

J. Imaging, 2021

Using gradient directions to get global convergence of Newton-type methods.

Daniela di Serafino, Gerardo Toraldo, Marco Viola

Appl. Math. Comput., 2021

TGV-based restoration of Poissonian images with automatic estimation of the regularization parameter.

Daniela di Serafino, Germana Landi, Marco Viola

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

2020

LSOS: Line-search Second-Order Stochastic optimization methods.

Daniela di Serafino, Natasa Krejic, Natasa Krklec Jerinkic, Marco Viola

CoRR, 2020

ACQUIRE: an inexact iteratively reweighted norm approach for TV-based Poisson image restoration.

Daniela di Serafino, Germana Landi, Marco Viola

Appl. Math. Comput., 2020

2019

A subspace-accelerated split Bregman method for sparse data recovery with joint l1-type regularizers.

Valentina De Simone, Daniela di Serafino, Marco Viola

CoRR, 2019

Semi-supervised generalized eigenvalues classification.

Marco Viola, Mara Sangiovanni, Gerardo Toraldo, Mario R. Guarracino

Ann. Oper. Res., 2019

A Gradient-Based Globalization Strategy for the Newton Method.

Daniela di Serafino, Gerardo Toraldo, Marco Viola

Proceedings of the Numerical Computations: Theory and Algorithms, 2019

2018

A Two-Phase Gradient Method for Quadratic Programming Problems with a Single Linear Constraint and Bounds on the Variables.

Daniela di Serafino, Gerardo Toraldo, Marco Viola, Jesse L. Barlow

SIAM J. Optim., 2018

2017

A generalized eigenvalues classifier with embedded feature selection.

Marco Viola, Mara Sangiovanni, Gerardo Toraldo, Mario R. Guarracino

Optim. Lett., 2017

Proportionality-Based Gradient Methods with Applications in Contact Mechanics.

Zdenek Dostál, Gerardo Toraldo, Marco Viola, Oldrich Vlach

Proceedings of the High Performance Computing in Science and Engineering, 2017

2015

Some remarks on the division of cognitive labor.

Marco Viola

Roars Trans., 2015