uSARA

Toward a robust R2D2 paradigm for radio-interferometric imaging: revisiting DNN training and architecture A. Aghabiglou, C. S. Chu, C. Tang, A. Dabbech, Y. Wiaux,
ApJS, 280(2):63, 2025.
ArXiv:2503.02554v1 | DOI:10.3847/1538-4365/adfbed

uSARA RI V2.0 & Tutorial: &

The AIRI plug-and-play algorithm for image reconstruction in radio-interferometry: variations and robustness M. Terris , C. Tang , A. Jackson , Y. Wiaux,
MNRAS, 537(2):1608-1619, 2025.
ArXiv:2312.07137 | DOI:10.1093/mnras/staf022

uSARA RI V1.0 & Tutorial: &

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