Accuracy-Robustness Trade-Off for Positively Weighted Neural Networks

Seismic data analysis and filtering with dual-tree M-band wavelets

A hybrid alternating proximal method for blind video restoration

An Adversarial Attacker for Neural Networks in Regression Problems

A parallel proximal splitting method for disparity estimation from multicomponent images under illumination variation

Majorize-Minimize adapted Metropolis-Hastings algorithm. Application to multichannel image recovery

A proximal approach for optimization problems involving Kullback divergences

Aggregated f -average Neural Network applied to Few-Shot Class Incremental Learning

ABBA Neural Networks: Coping with Positivity, Expressivity, and Robustness

A Variational Bayesian Approach for Image Restoration. Application to Image Deblurring with Poisson-Gaussian Noise

A penalized weighted least squares approach for restoring data corrupted with signal-dependent noise

Enhanced convergent PnP agorithms for image restoration

Nested iterative algorithms for convex constrained image recovery problems

Solution of Mismatched Monotone+Lipschitz Inclusion Problems

A Novel Task-Based Reconstruction Approach for Digital Breast Tomosynthesis

A proximal approach to IVA-G with convergence guarantees

A New Spatially Adaptive TV Regularization for Digital Breast Tomosynthesis

Schémas de lifting adaptatifs via des critères parcimonieux

Adaptive lifting schemes with a global L1 minimization technique for image coding

An Alternating Proximal Approach for Blind Video Deconvolution

A review on graph optimization and algorithmic frameworks

A proximal decomposition method for solving convex variational inverse problems

A multi-parameter optimization approach for complex continuous sparse modelling

A Proximal Interior Point Algorithm with Applications to Image Processing

A Stochastic Majorize-Minimize Subspace Algorithm for Online Penalized Least Squares Estimation

A Class of Randomized Primal-Dual Algorithms for Distributed Optimization

A proximal approach for signal recovery based on information measures

Proximal splitting methods for depth estimation

Variable metric forward-backward algorithm for minimizing the sum of a differentiable function and a convex function

A new estimator for image denoising using a 2D dual-tree M-band wavelet decomposition

Dense Disparity Estimation From Stereo Images

Stability of Unfolded Forward-Backward to Perturbations in Observed Data

Stability Bounds for the Unfolded Forward-Backward Algorithm

An Unrolled Half-Quadratic Approach for Sparse Signal Recovery in Spectroscopy

Convergence of Proximal Gradient Algorithm in the Presence of Adjoint Mismatch

A Local MM Subspace Method for Solving Constrained Variational Problems in Image Recovery

Image reconstruction from multiple sensors using Stein's principle. Application to parallel MRI

Estimation d'un signal complexe à partir d'un modèle parcimonieux perturbé

Reconstruction d'image en présence de bruit gaussien dépendant par un algorithme Explicite-Implicite à métrique variable

PLUMEE 2019 : Reconstruction numérique d'image en microscopie multiphotonique

A Hierarchical Bayesian Model for Frame Representation

Generalized multivariate exponential power prior for wavelet-based multichannel image restoration

Analyse comparative d'algorithmes de restauration en architecture dépliée pour des signaux chromatographiques parcimonieux

Convergence of Proximal Gradient Algorithm in the Presence of Adjoint Mismatch

Multivariate Lipschitz Analysis of the Stability of Neural Networks

Vector lifting schemes for stereo image coding

Adaptive lifting scheme with a global L-1 minimization technique for stereo image coding

Fast variational Bayesian signal recovery in the presence of Poisson-Gaussian noise

A preconditioned Forward-Backward approach with application to large-scale nonconvex spectral unmixing problems

Méthodes proximales pour l'estimation du champ de disparité à partir d'une paire d'images stéréoscopiques en présence de variations d'illumination