Cssnet: A Learning Algorithm For The Segmentation Of Compressed Hyperspectral Images. - Maud Biquard; Antoine Rouxel; Simon Lacroix; Hervé Carfantan; Antoine Monmayrant; Henri Camon (WHISPERS, 2022)

Variational Bayes image restoration with compressive autoencoders. - Maud Biquard; Marie Chabert; Thomas Oberlin (CoRR, 2023)

Deep priors for satellite image restoration with accurate uncertainties. - Maud Biquard; Marie Chabert; Florence Genin; Christophe Latry; Thomas Oberlin (CoRR, 2024)

Variational Bayes Image Restoration With Compressive Autoencoders. - Maud Biquard; Marie Chabert; Florence Genin; Christophe Latry; Thomas Oberlin (IEEE Trans. Image Process., 2025)

PG-DPIR: An efficient plug-and-play method for high-count Poisson-Gaussian inverse problems. - Maud Biquard; Marie Chabert; Florence Genin; Christophe Latry; Thomas Oberlin (CoRR, 2025)