Online MR image reconstruction for compressed sensing acquisition in T2* imaging

Introduction to the Issue on Stochastic Simulation and Optimization in Signal Processing

Method for performing parallel magnetic resonance imaging

A Survey of Stochastic Simulation and Optimization Methods in Signal Processing

A Fast Algorithm Based on a Sylvester-like Equation for LS Regression with GMRF Prior

Rapid and Noise-Resilient Mapping of Photogenerated Carrier Lifetime in Halide Perovskite Thin Films

Preconditioned P-ULA for Joint Deconvolution-Segmentation of Ultrasound Images - Extended Version

Deep Learning Classification and Quantification of Pejorative and Nonpejorative Architectures in Resected Hepatocellular Carcinoma from Digital Histopathologic Images

An Alternating Direction Method of Multipliers for Constrained Joint Diagonalization by Congruence (Invited Paper)

Solving inverse problems with overcomplete transforms and convex optimization techniques

Rapid and Noise‐Resilient Mapping of Photogenerated Carrier Lifetime in Halide Perovskite Thin Films

Spatio-temporal wavelet regularization for parallel MRI reconstruction: application to functional MRI

A Proximal Algorithm for Joint Blood Flow Computation and Tissue Motion Compensation in Doppler Ultrafast Ultrasound Imaging

Primary liver cancer classification from routine tumour biopsy using weakly supervised deep learning

A hierarchical Bayesian model for frame representation

Stochastic MM Subspace Algorithms

Transformed Locally Linear Manifold Clustering

A Majorize-Minimize strategy for subspace optimization applied to image restoration

A majorize-minimize strategy for subspace optimization applied to image restoration

Convergence Analysis of Block Majorize-Minimize Subspace Approach

Transformed Subspace Clustering

Convergence Analysis of Block Majorize-Minimize Subspace Approach

Would Your Tweet Invoke Hate on the Fly? Forecasting Hate Intensity of Reply Threads on Twitter

SABRINA: A Stochastic Subspace Majorization-Minimization Algorithm

Binary Matrix Completion on Graphs: Application to Collaborative Filtering

A Majorize-Minimize line search algorithm for barrier function optimization

Optimisation of a maximum entropy criterion for 2D nuclear magnetic resonance reconstruction

Optimization of a maximum entropy criterion for 2D nuclear magnetic resonance reconstruction

Efficient maximum entropy reconstruction of nuclear magnetic resonance T1-T2 spectra

Graph Regularized Probabilistic Matrix Factorization for Drug-Drug Interactions Prediction

A Kurdyka-Lojasiewicz property for stochastic optimization algorithms in a non-convex setting

Deep latent factor model for collaborative filtering

A Proximal Newton Adaptive Importance Sampler

Blind Kalman Filtering for Short-term Load Forecasting

Antibiotic Bacteria Interaction: Dataset and Benchmarking

Computational prediction of Drug-Disease association based on Graph-regularized one bit Matrix completion

GRAPHIT: Iterative reweighted l1 algorithm for sparse graph inference in state-space models

Stochastic Majorize-Minimize Subspace Algorithm with Application to Binary Classification

DeepVir, Graphical Deep Matrix Factorization for In Silico Antiviral Repositioning. Application to COVID19.

A Majorize-Minimize line search algorithm for barrier functions

Deep State-Space Model for Predicting Cryptocurrency Price

Block distributed 3MG algorithm and its application to 3D image restoration

Reconstruction d'un spectre RMN 2D par maximum d'entropie

Convolutional Transform learning

Algorithmes de majoration-minimisation. Application aux problèmes inverses de grande taille en signal/image

Optimized Population Monte Carlo

Learning a sparse polynomial approximation to the transition function of general state-space models

Efficient maximum entropy reconstruction of nuclear magnetic resonance T1-T2 spectra

Graphical inference in non-Markovian linear-Gaussian state-space models

Graphs in State-Space Models for Granger Causality in Climate Science