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20232025
most citedToward a Robust R2D2 Paradigm for Radio-interferometric Imaging: Revisiting Deep Neural Network Training and Architecture

2 citations · 4 across the 6 of their papers we have counts for

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astro-ph.IM2025

MROP: Modulated Rank-One Projections for compressive radio interferometric imaging

Olivier Leblanc, Chung San Chu, Laurent Jacques +1

The emerging generation of radio-interferometric (RI) arrays are set to form images of the sky with a new regime of sensitivity and resolution. This implies a significant increase…

astro-ph.IM2025★ 2 cited

Toward a Robust R2D2 Paradigm for Radio-interferometric Imaging: Revisiting Deep Neural Network Training and Architecture

Amir Aghabiglou, Chung San Chu, Chao Tang +2

The R2D2 Deep Neural Network (DNN) series was recently introduced for image formation in radio interferometry. It can be understood as a learned version of CLEAN, whose minor cycle…