Malena Sabaté Landman

According to our database, Malena Sabaté Landman authored at least 9 papers between 2019 and 2024.

Collaborative distances:

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

2024

H-CMRH: a novel inner product free hybrid Krylov method for large-scale inverse problems.

Ariana N. Brown, Malena Sabaté Landman, James G. Nagy

CoRR, 2024

2023

Augmented Flexible Krylov Subspace methods with applications to Bayesian inverse problems.

Malena Sabate Landman, Jiahua Jiang, Jianru Zhang, Wuwei Ren

CoRR, 2023

Flexible Krylov Methods for Group Sparsity Regularization.

Julianne Chung, Malena Sabaté Landman

CoRR, 2023

Latent-Space Disentanglement with Untrained Generator Networks for the Isolation of Different Motion Types in Video Data.

Abdullah Abdullah, Martin Holler, Karl Kunisch, Malena Sabate Landman

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

2022

On Krylov Methods for Large Scale CBCT Reconstruction.

Malena Sabate Landman, Ander Biguri, Sepideh Hatamikia, Richard P. Boardman, John A. D. Aston, Carola-Bibiane Schönlieb

CoRR, 2022

Nonlinear motion separation via untrained generator networks with disentangled latent space variables and applications to cardiac MRI.

Abdullah, Martin Holler, Karl Kunisch, Malena Sabate Landman

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

2019

Adaptive Regularization Parameter Choice Rules for Large-Scale Problems.

Silvia Gazzola, Malena Sabate Landman

CoRR, 2019