uSARA

unconstrained Sparsity Averaging Reweighted Analysis

Main codes & Tutorials

Papers & Paper codes

Towards a robust R2D2 paradigm for radio-interferometric imaging: revisiting DNN training and architecture
A. Aghabiglou, C. S. Chu, C. Tang, A. Dabbech, Y. Wiaux, Submitted for publication at ApJS, 2025.
ArXiv:2503.02554v1

Scalable precision wide-field imaging in radio interferometry: I. uSARA validated on ASKAP data

A. Wilber, A. Dabbech, A. Jackson, and Y. Wiaux, MNRAS, 522(4):5558–5575, 2023.
ArXiv:2302.14148 | DOI:10.1093/mnras/stad1351

Image reconstruction algorithms in radio interferometry: from handcrafted to learned regularization denoisers
M. Terris, A. Dabbech, C. Tang, and Y. Wiaux, MNRAS, 518(1):604–622, 2023.
ArXiv:2202.12959 | DOI:10.1093/mnras/stac2672

First AI for deep super-resolution wide-field imaging in radio astronomy: unveiling structure in ESO 137-006
A. Dabbech, M. Terris, A. Jackson, M. Ramatsoku, O. Smirnov, and Y. Wiaux, ApJL, 939:L4, 2022.
ArXiv:2207.11336 | DOI:10.3847/2041-8213/ac98af

Variable metric forward-backward algorithm for composite minimization problems
A. Repetti, and Y. Wiaux, SIOPT, 31(2):1215-1241, 2021.
ArXiv:1907.11486 | DOI:10.1137/19M1277552