Silvia Gazzola

According to our database, Silvia Gazzola authored at least 26 papers between 2014 and 2024.

Collaborative distances:

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

2024

TRIPs-Py: Techniques for Regularization of Inverse Problems in Python.

Mirjeta Pasha, Silvia Gazzola, Connor Sanderford, Ugochukwu O. Ugwu

CoRR, 2024

2023

On Optimal Regularization Parameters via Bilevel Learning.

Matthias J. Ehrhardt, Silvia Gazzola, Sebastian James Scott

CoRR, 2023

Optimisation of seismic imaging via bilevel learning.

Shaunagh Downing, Silvia Gazzola, Ivan G. Graham, Euan A. Spence

CoRR, 2023

2022

Symmetrization Techniques in Image Deblurring.

Marco Donatelli, Paola Ferrari, Silvia Gazzola

CoRR, 2022

Undersampling Raster Scans in Spectromicroscopy for reduced dose and faster measurements.

Oliver Townsend, Silvia Gazzola, Sergey Dolgov, Paul Quinn

CoRR, 2022

Automatic balancing parameter selection for Tikhonov-TV regularization.

Ali Gholami, Silvia Gazzola

CoRR, 2022

2021

Iteratively Reweighted FGMRES and FLSQR for Sparse Reconstruction.

Silvia Gazzola, James G. Nagy, Malena Sabate Landman

SIAM J. Sci. Comput., 2021

Regularization by Inexact Krylov Methods with Applications to Blind Deblurring.

Silvia Gazzola, Malena Sabate Landman

SIAM J. Matrix Anal. Appl., 2021

On the block Lanczos and block Golub-Kahan reduction methods applied to discrete ill-posed problems.

Abdulaziz Alqahtani, Silvia Gazzola, Lothar Reichel, Giuseppe Rodriguez

Numer. Linear Algebra Appl., 2021

Flexible Krylov Methods for Edge Enhancement in Imaging.

Silvia Gazzola, Sebastian James Scott, Alastair Spence

J. Imaging, 2021

Efficient learning methods for large-scale optimal inversion design.

Julianne Chung, Matthias Chung, Silvia Gazzola, Mirjeta Pasha

CoRR, 2021

Efficient edge-preserving methods for dynamic inverse problems.

Mirjeta Pasha, Arvind K. Saibaba, Silvia Gazzola, Malena I. Español, Eric de Sturler

CoRR, 2021

Computational methods for large-scale inverse problems: a survey on hybrid projection methods.

Julianne Chung, Silvia Gazzola

CoRR, 2021

Flexible CGLS for box-constrained linear least squares problems.

Silvia Gazzola

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

2020

Krylov Methods for Low-Rank Regularization.

Silvia Gazzola, Chang Meng, James G. Nagy

SIAM J. Matrix Anal. Appl., 2020

Some transpose-free CG-like solvers for nonsymmetric ill-posed problems.

Silvia Gazzola, Paolo Novati

J. Num. Math., 2020

2019

Flexible Krylov Methods for ℓ_p Regularization.

Julianne Chung, Silvia Gazzola

SIAM J. Sci. Comput., 2019

IR Tools: a MATLAB package of iterative regularization methods and large-scale test problems.

Silvia Gazzola, Per Christian Hansen, James G. Nagy

Numer. Algorithms, 2019

An Inner-Outer Iterative Method for Edge Preservation in Image Restoration and Reconstruction.

Silvia Gazzola, Misha E. Kilmer, James G. Nagy, Oguz Semerci, Eric L. Miller

CoRR, 2019

Adaptive Regularization Parameter Choice Rules for Large-Scale Problems.

Silvia Gazzola, Malena Sabate Landman

CoRR, 2019

2017

Fast Nonnegative Least Squares Through Flexible Krylov Subspaces.

Silvia Gazzola, Yves Wiaux

SIAM J. Sci. Comput., 2017

2016

On the Lanczos and Golub-Kahan reduction methods applied to discrete ill-posed problems.

Silvia Gazzola, Enyinda Onunwor, Lothar Reichel, Giuseppe Rodriguez

Numer. Linear Algebra Appl., 2016

Image reconstruction and restoration using the simplified topological ε-algorithm.

Silvia Gazzola, Anna Karapiperi

Appl. Math. Comput., 2016

2014

Generalized Arnoldi-Tikhonov Method for Sparse Reconstruction.

Silvia Gazzola, James G. Nagy

SIAM J. Sci. Comput., 2014

Embedded techniques for choosing the parameter in Tikhonov regularization.

Silvia Gazzola, Paolo Novati, Maria Rosaria Russo

Numer. Linear Algebra Appl., 2014

Automatic parameter setting for Arnoldi-Tikhonov methods.

Silvia Gazzola, Paolo Novati

J. Comput. Appl. Math., 2014