Deep Transform and Metric Learning Network: Wedding Deep Dictionary Learning and Neural Network

Deep transform and metric learning networks

A Non-Local Structure Tensor Based Approach for Multicomponent Image Recovery Problems

Optimized Lifting Scheme Based on a Dynamical Fully Connected Network for Image Coding

Joint Learning of Fully Connected Network Models in Lifting Based Image Coders

Primal-dual splitting algorithm for solving inclusions with mixtures of composite, Lipschitzian, and parallel-sum type monotone operators

PIPA: A New Proximal Interior Point Algorithm for Large Scale Convex Optimization

A stochastic 3MG algorithm with application to 2d filter identification

Proximal Splitting Methods in Signal Processing

Training Graph Neural Networks Subject to a Tight Lipschitz Constraint

A Primal-Dual Proximal Algorithm for Sparse Template-Based Adaptive Filtering: Application to Seismic Multiple Removal

Stochastic forward-backward and primal-dual approximation algorithms with application to online image restoration

A Majorize-Minimize memory gradient method for complex-valued inverse problems

A Novel Smoothed Norm Ratio for Sparse Signal Restoration Application to Mass Spectrometry.

Forme lissée de rapports de normes lp/lq (SPOQ) pour la reconstruction des signaux avec pénalisation parcimonieuse.

Parallel ProXimal Algorithm for Image Restoration Using Hybrid Regularization -- Extended version

Unrolled deep networks for sparse signal restoration

A hybrid interior point - deep learning approach for Poisson image deblurring

Random primal-dual proximal iterations for sparse multiclass SVM

Approche de Douglas-Rachford aléatoire par blocs appliquée à la régression logistique parcimonieuse

Seismic multiple removal with a Primal-Dual proximal algorithm

A block coordinate variable metric forward-backward algorithm

UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning

Euclid in a Taxicab: Sparse Blind Deconvolution with Smoothed ℓ 1 /ℓ 2 Regularization

Stochastic Quasi-Fejér Block-Coordinate Fixed Point Iterations with Random Sweeping

Parallel Algorithm and Hybrid Regularization for Dynamic PET Reconstruction

Dynamic Neural Network for Lossy-to-Lossless Image Coding

BRANE Clust: Cluster-Assisted Gene Regulatory Network Inference Refinement

Minimization of a sparsity promoting criterion for the recovery of complex-valued signals

How to globally solve non-convex optimization problems involving an approximate ℓ 0 penalization

Sparse adaptive template matching and filtering for 2D seismic images with dual-tree wavelets and proximal methods

SPOQ lp-Over-lq Regularization for Sparse Signal Recovery applied to Mass Spectrometry

Optimal Multivariate Gaussian Fitting for PSF Modeling in Two-Photon Microscopy

Transductive Zero-Shot and Few-Shot CLIP

Majoration-Minimization for Sparse SVMs

Image reconstruction in multiphoton imaging through multivariate Gaussian fitting

GPU-based Implementations of MM Algorithms. Application to Spectroscopy Signal Restoration

Magnification-driven B-spline Interpolation for Cone Beam Projection and Backprojection

HOGMep: Variational Bayes and higher-order graphical models applied to joint image recovery and segmentation

An epigraphical convex optimization approach for multicomponent image restoration using non-local structure tensor

An Auxiliary Variable Method for MCMC Algorithms in High Dimension

Proximity operators of discrete information divergences

Joint restoration/segmentation of multicomponent images with variationalBayes and higher-order graphical models (HOGMep)

Unrolled deep networks for sparse signal restoration in analytical chemistry

A Block Parallel Majorize-Minimize Memory Gradient Algorithm

A proximal approach for constrained cosparse modelling

Epigraphical splitting for solving constrained convex optimization problems with proximal tools

Towards Practical Few-Shot Query Sets: Transductive Minimum Description Length Inference

A complex-valued majorize-minimize memory gradient method with application to parallel MRI

A Bregman Majorization-Minimization Framework for PET Image Reconstruction