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ORCIDMalena Sabaté Landman
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2020 – today
- 2025
[j3]Ariana N. Brown, Malena Sabaté Landman
, James G. Nagy:
H-CMRH: An Inner Product Free Hybrid Krylov Method for Large-Scale Inverse Problems. SIAM J. Matrix Anal. Appl. 46(1): 232-255 (2025)- [i13]Lucas Onisk, Malena Sabaté Landman:
Iterative Refinement and Flexible Iteratively Reweighed Solvers for Linear Inverse Problems with Sparse Solutions. CoRR abs/2502.02303 (2025) - [i12]Malena Sabaté Landman, Ariana N. Brown, Julianne Chung, James G. Nagy:
Randomized and Inner-product Free Krylov Methods for Large-scale Inverse Problems. CoRR abs/2502.02721 (2025) - 2024
- [i11]Ariana N. Brown, Malena Sabaté Landman, James G. Nagy:
H-CMRH: a novel inner product free hybrid Krylov method for large-scale inverse problems. CoRR abs/2401.06918 (2024) - [i10]Anna Breger, Ander Biguri, Malena Sabaté Landman, Ian Selby, Nicole Amberg, Elisabeth Brunner, Janek Gröhl, Sepideh Hatamikia, Clemens Karner, Lipeng Ning, Sören Dittmer, Michael Roberts, AIX-COVNET Collaboration, Carola-Bibiane Schönlieb:
A study of why we need to reassess full reference image quality assessment with medical images. CoRR abs/2405.19097 (2024) - [i9]Ariana N. Brown, Julianne Chung, James G. Nagy, Malena Sabaté Landman:
Inner Product Free Krylov Methods for Large-Scale Inverse Problems. CoRR abs/2409.05239 (2024) - [i8]Julianne Chung, Scot M. Miller, Malena Sabate Landman, Arvind K. Saibaba:
Efficient hyperparameter estimation in Bayesian inverse problems using sample average approximation. CoRR abs/2412.02773 (2024) - [i7]Ander Biguri, Tomoyuki Sadakane, Reuben Lindroos, Yi Liu, Malena Sabaté Landman, Yi Du, Manasavee Lohvithee, Stefanie Kaser, Sepideh Hatamikia, Robert Bryll, Emilien Valat, Sarinrat Wonglee, Thomas Blumensath, Carola-Bibiane Schönlieb:
TIGRE v3: Efficient and easy to use iterative computed tomographic reconstruction toolbox for real datasets. CoRR abs/2412.10129 (2024) - 2023
- [c1]Abdullah Abdullah, Martin Holler, Karl Kunisch, Malena Sabate Landman:
Latent-Space Disentanglement with Untrained Generator Networks for the Isolation of Different Motion Types in Video Data. SSVM 2023: 326-338 - [i6]Julianne Chung, Malena Sabaté Landman:
Flexible Krylov Methods for Group Sparsity Regularization. CoRR abs/2306.08499 (2023) - [i5]Malena Sabate Landman, Jiahua Jiang, Jianru Zhang, Wuwei Ren:
Augmented Flexible Krylov Subspace methods with applications to Bayesian inverse problems. CoRR abs/2310.05285 (2023) - 2022
- [i4]Abdullah, Martin Holler, Karl Kunisch, Malena Sabate Landman:
Nonlinear motion separation via untrained generator networks with disentangled latent space variables and applications to cardiac MRI. CoRR abs/2205.10367 (2022) - [i3]Malena Sabate Landman, Ander Biguri, Sepideh Hatamikia, Richard P. Boardman, John A. D. Aston, Carola-Bibiane Schönlieb:
On Krylov Methods for Large Scale CBCT Reconstruction. CoRR abs/2211.14212 (2022) - 2021
- [j2]Silvia Gazzola, Malena Sabate Landman:
Regularization by Inexact Krylov Methods with Applications to Blind Deblurring. SIAM J. Matrix Anal. Appl. 42(4): 1528-1552 (2021) - [j1]Silvia Gazzola, James G. Nagy, Malena Sabate Landman:
Iteratively Reweighted FGMRES and FLSQR for Sparse Reconstruction. SIAM J. Sci. Comput. 43(5): S47-S69 (2021) - [i2]Silvia Gazzola, Malena Sabate Landman:
Regularization by inexact Krylov methods with applications to blind deblurring. CoRR abs/2105.07378 (2021)
2010 – 2019
- 2019
- [i1]Silvia Gazzola, Malena Sabate Landman:
Adaptive Regularization Parameter Choice Rules for Large-Scale Problems. CoRR abs/1907.05666 (2019)
Coauthor Index
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