3 papers
cs.IT2025
Moment Constraints and Phase Recovery for Multireference Alignment
Vahid Shahverdi, Emanuel Ström, Joakim Andén
Multireference alignment (MRA) refers to the problem of recovering a signal from noisy samples subject to random circular shifts. Expectation--maximization (EM) and variational app…
math.NA2025
Deep Micro Solvers for Rough-Wall Stokes Flow in a Heterogeneous Multiscale Method
Emanuel Ström, Anna-Karin Tornberg, Ozan Ãktem
We propose a learned precomputation for the heterogeneous multiscale method (HMM) for rough-wall Stokes flow. A Fourier neural operator is used to approximate local averages over m…
math.NA2024
Fast deep learning based reconstruction for limited angle tomography
Knut Salomonsson, Eric Oldgren, Emanuel Ström +1
A major challenge in computed tomography is reconstructing objects from incomplete data. An increasingly popular solution for these problems is to incorporate deep learning models…