Building Firmly Nonexpansive Convolutional Neural Networks. - Matthieu Terris; Audrey Repetti; Jean-Christophe Pesquet; Yves Wiaux (ICASSP, 2020)

Enhanced Convergent PNP Algorithms For Image Restoration. - Matthieu Terris; Audrey Repetti; Jean-Christophe Pesquet; Yves Wiaux (ICIP, 2021)

Learning Maximally Monotone Operators for Image Recovery. - Jean-Christophe Pesquet; Audrey Repetti; Matthieu Terris; Yves Wiaux (SIAM J. Imaging Sci., 2021)

Dual Forward-Backward Unfolded Network for Flexible Plug-and-Play. - Audrey Repetti; Matthieu Terris; Yves Wiaux; Jean-Christophe Pesquet (EUSIPCO, 2022)

Image reconstruction algorithms in radio interferometry: from handcrafted to learned denoisers. - Matthieu Terris; Arwa Dabbech; Chao Tang; Yves Wiaux (CoRR, 2022)

First AI for deep super-resolution wide-field imaging in radio astronomy: unveiling structure in ESO 137-006. - Arwa Dabbech; Matthieu Terris; Adrian Jackson; Mpati Ramatsoku; Oleg M. Smirnov; Yves Wiaux (CoRR, 2022)

Deep Network Series for Large-Scale High-Dynamic Range Imaging. - Amir Aghabiglou; Matthieu Terris; Adrian Jackson; Yves Wiaux (ICASSP, 2023)

Have Foundational Models Seen Satellite Images? - Akash Panigrahi; Sagar Verma; Matthieu Terris; Maria Vakalopoulou (IGARSS, 2023)

Investigating Model Robustness Against Sensor Variation. - Matthieu Terris; Sagar Verma (IGARSS, 2023)

Scalable precision wide-field imaging in radio interferometry: II. AIRI validated on ASKAP data. - Amanda G. Wilber; Arwa Dabbech; Matthieu Terris; Adrian Jackson; Yves Wiaux (CoRR, 2023)

Meta-Prior: Meta learning for Adaptive Inverse Problem Solvers. - Matthieu Terris; Thomas Moreau 001 (CoRR, 2023)

Equivariant Plug-and-Play Image Reconstruction. - Matthieu Terris; Thomas Moreau 001; Nelly Pustelnik; Julián Tachella (CVPR, 2024)

FiRe: Fixed-points of Restoration Priors for Solving Inverse Problems. - Matthieu Terris; Ulugbek S. Kamilov; Thomas Moreau 001 (CVPR, 2025)

Robust Plug-and-Play Methods for Highly Accelerated Non-Cartesian MRI Reconstruction. - Pierre-Antoine Comby; Benjamin Lapostolle; Matthieu Terris; Philippe Ciuciu (ISBI, 2025)

Reconstruct Anything Model: a lightweight foundation model for computational imaging. - Matthieu Terris; Samuel Hurault; Maxime Song; Julián Tachella (CoRR, 2025)

From Denoising Score Matching to Langevin Sampling: A Fine-Grained Error Analysis in the Gaussian Setting. - Samuel Hurault; Matthieu Terris; Thomas Moreau 001; Gabriel Peyré (CoRR, 2025)