7 papers
Real-time CBCT reconstructions using Krylov solvers in repeated scanning procedures
Fred Hastings, S M Ragib Shahriar Islam, Malena Sabaté Landman +3
This work introduces a new efficient iterative solver for the reconstruction of real-time cone-beam computed tomography (CBCT), which is based on the Prior Image Constrained Compre…
New flexible and inexact Golub-Kahan algorithms for inverse problems
Malena Sabaté Landman, Silvia Gazzola
This paper introduces a new class of algorithms for solving large-scale linear inverse problems based on new flexible and inexact Golub-Kahan factorizations. The proposed methods i…
Flexible inner-product free Krylov methods for inverse problems
Malena Sabaté Landman
Flexible Krylov methods are a common standpoint for inverse problems. In particular, they are used to address the challenges associated with explicit variational regularization whe…
Randomized flexible Krylov methods for regularization
Malena Sabaté Landman, Yuji Nakatsukasa
The computation of sparse solutions of large-scale linear discrete ill-posed problems remains a computationally demanding task. A powerful framework in this context is the use of i…
Perturbation-Aware Distributionally Robust Optimization for Inverse Problems
Floor van Maarschalkerwaart, Subhadip Mukherjee, Malena Sabaté Landman +2
This paper builds on classical distributionally robust optimization techniques to construct a comprehensive framework that can be used for solving inverse problems. Given an estima…
Randomized and Inner-product Free Krylov Methods for Large-scale Inverse Problems
Malena Sabaté Landman, Ariana N. Brown, Julianne Chung +1
Iterative Krylov projection methods have become widely used for solving large-scale linear inverse problems. However, methods based on orthogonality include the computation of inne…