Total variation based interpolation. - Frédéric Guichard; François Malgouyres (EUSIPCO, 1998)

Total Variation Based Oversampling of Noisy Images. - François Malgouyres (Scale-Space, 2001)

Edge Direction Preserving Image Zooming: A Mathematical and Numerical Analysis. - François Malgouyres; Frédéric Guichard (SIAM J. Numer. Anal., 2001)

Minimizing the total variation under a general convex constraint for image restoration. - François Malgouyres (IEEE Trans. Image Process., 2002)

Using Gabor Dictionaries in A TV - L∞Model, for Denoising. - Tieyong Zeng; François Malgouyres (ICASSP (2), 2006)

Image Compression Through a Projection onto a Polyhedral Set. - François Malgouyres (J. Math. Imaging Vis., 2007)

Rank related properties for Basis Pursuit and total variation regularization. - François Malgouyres (Signal Process., 2007)

A Predual Proximal Point Algorithm Solving a Non Negative Basis Pursuit Denoising Model. - François Malgouyres; Tieyong Zeng (Int. J. Comput. Vis., 2009)

Reducing graphs in graph cut segmentation. - Nicolas Lermé; François Malgouyres; Lucas Létocart (ICIP, 2010)

Reduced graphs for min-cut/max-flow approaches in image segmentation. - Nicolas Lermé; Lucas Létocart; François Malgouyres (Electron. Notes Discret. Math., 2011)

Matching pursuit shrinkage in Hilbert spaces. - Tieyong Zeng; François Malgouyres (Signal Process., 2011)

Simultaneous Segmentation and Filtering via Reduced Graph Cuts. - Nicolas Lermé; François Malgouyres (ACIVS, 2012)

Spatially Varying Blur Recovery - Diagonal Approximations in the Wavelet Domain. - Paul Escande; Pierre Weiss; François Malgouyres (ICPRAM, 2013)

Image restoration using sparse approximations of spatially varying blur operators in the wavelet domain - Paul Escande; Pierre Weiss; François Malgouyres (CoRR, 2013)

Numerical study of an optimization problem for mosaic active imaging. - Nicolas Lermé; François Malgouyres; Emmanuelle Thouin; Dominique Hamoir (ICIP, 2014)

Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). - Laurent Jacques; Christophe De Vleeschouwer; Yannick Boursier; Prasad Sudhakar; C. De Mol; Aleksandra Pizurica; Sandrine Anthoine; Pierre Vandergheynst; Pascal Frossard; Cagdas Bilen; Srdan Kitic; Nancy Bertin; et al. (CoRR, 2014)

A reduction method for graph cut optimization. - Nicolas Lermé; François Malgouyres (Pattern Anal. Appl., 2014)

Toward Fast Transform Learning. - Olivier Chabiron; François Malgouyres; Jean-Yves Tourneret; Nicolas Dobigeon (Int. J. Comput. Vis., 2015)

On the identifiability and stable recovery of deep/multi-layer structured matrix factorization. - François Malgouyres; Joseph Landsberg (ITW, 2016)

Stable recovery of the factors from a deep matrix product and application to convolutional networks. Focus on sparsity constraints. - François Malgouyres; Joseph Landsberg (CoRR, 2017)

Regularized Non-local Total Variation and Application in Image Restoration. - Zhi Li 080; François Malgouyres; Tieyong Zeng (J. Math. Imaging Vis., 2017)

Regularized multi-label fast marching and application to whole-body image segmentation. - Laurent Risser; Soléakhéna Ken; Sandra Lebreton; Éloïse Grossiord; Salim Kanoun; François Malgouyres (ISBI, 2018)

Loss functions for denoising compressed images: a comparative study. - Thomas Oberlin; François Malgouyres; Jin-Yi Wu (EUSIPCO, 2019)

Multilinear Compressive Sensing and an Application to Convolutional Linear Networks. - François Malgouyres; Joseph Landsberg (SIAM J. Math. Data Sci., 2019)

Learning Optimal Shape Representations for Multi-Modal Image Registration. - Éloïse Grossiord; Laurent Risser; Salim Kanoun; Soléakhéna Ken; François Malgouyres (ISBI, 2020)

On the stable recovery of deep structured linear networks under sparsity constraints. - François Malgouyres (MSML, 2020)

Multilayer Joint Segmentation Using MRF and Graph Cuts. - Nicolas Lermé; Sylvie Le Hégarat-Mascle; François Malgouyres; Marie Lachaize (J. Math. Imaging Vis., 2020)

Overestimation Learning with Guarantees. - Adrien Gauffriau; François Malgouyres; Mélanie Ducoffe (SafeAI@AAAI, 2021)

A general approximation lower bound in $L^p$ norm, with applications to feed-forward neural networks. - El Mehdi Achour; Armand Foucault; Sébastien Gerchinovitz; François Malgouyres (NeurIPS, 2022)

Local Identifiability of Deep ReLU Neural Networks: the Theory. - Joachim Bona-Pellissier; François Malgouyres; François Bachoc (NeurIPS, 2022)

A general approximation lower bound in Lp norm, with applications to feed-forward neural networks. - El Mehdi Achour; Armand Foucault; Sébastien Gerchinovitz; François Malgouyres (CoRR, 2022)

Existence, Stability and Scalability of Orthogonal Convolutional Neural Networks. - El Mehdi Achour; François Malgouyres; Franck Mamalet (J. Mach. Learn. Res., 2022)

Support Exploration Algorithm for Sparse Support Recovery. - Mimoun Mohamed; François Malgouyres; Valentin Emiya; Caroline Chaux (CoRR, 2023)

Parameter identifiability of a deep feedforward ReLU neural network. - Joachim Bona-Pellissier; François Bachoc; François Malgouyres (Mach. Learn., 2023)

Straight-Through Meets Sparse Recovery: the Support Exploration Algorithm. - Mimoun Mohamed; François Malgouyres; Valentin Emiya; Caroline Chaux (ICML, 2024)

Quantized Approximately Orthogonal Recurrent Neural Networks. - Armand Foucault; Franck Mamalet; François Malgouyres (CoRR, 2024)

Geometry-induced Implicit Regularization in Deep ReLU Neural Networks. - Joachim Bona-Pellissier; François Malgouyres; François Bachoc (CoRR, 2024)

The Loss Landscape of Deep Linear Neural Networks: a Second-order Analysis. - El Mehdi Achour; François Malgouyres; Sébastien Gerchinovitz (J. Mach. Learn. Res., 2024)

Hadamrnn: Binary and Sparse Ternary orthogonal RNNs. - Armand Foucault; François Malgouyres; Franck Mamalet (ICLR, 2025)