50 citations · 112 across the 11 of their papers we have counts for
4 papers · 1 filter
The AIRI plug-and-play algorithm for image reconstruction in radio-interferometry: variations and robustness
Matthieu Terris, Chao Tang, Adrian Jackson +1
Plug-and-Play (PnP) algorithms are appealing alternatives to proximal algorithms when solving inverse imaging problems. By learning a Deep Neural Network (DNN) denoiser behaving as…
Equivariant plug-and-play image reconstruction
Matthieu Terris, Thomas Moreau, Nelly Pustelnik +1
Plug-and-play algorithms constitute a popular framework for solving inverse imaging problems that rely on the implicit definition of an image prior via a denoiser. These algorithms…
Meta-Prior: Meta learning for Adaptive Inverse Problem Solvers
Matthieu Terris, Thomas Moreau
Deep neural networks have become a foundational tool for addressing imaging inverse problems. They are typically trained for a specific task, with a supervised loss to learn a mapp…
Scalable precision wide-field imaging in radio interferometry: II. AIRI validated on ASKAP data
Amanda G. Wilber, Arwa Dabbech, Matthieu Terris +2
Accompanying Part I, this sequel delineates a validation of the recently proposed AI for Regularisation in radio-interferometric Imaging (AIRI) algorithm on observations from the A…