Publications

Unrolled convolutional neural network for full-wave inverse scattering

Group sparsity penalized contrast source solution method for 2-D non-linear inverse scattering

Fast Joint Multiband Reconstruction from Wideband Images Based on Low Rank Approximation

Efficient unsupervised variational Bayesian image reconstruction using a sparse gradient prior

Efficient Variational Bayesian Approximation Method Based on Subspace optimization

A Bit Allocation Method for Sparse Source Coding

A measure-theoretic variational Bayesian algorithm for large dimensional problems

Rate-distortion bounds for Wyner-Ziv coding with Gaussian scale mixture correlation noise

Why minimax is not that pessimistic

Regularity criteria of almost every function in a Sobolev space

Use of sparsity in nonlinear electromagnetic imaging: wavelet-based contrast source method

A wavelet-based contrast source inversion method

A Small-Scale Network for Seismic Patterns Classification

Spatio-Spectral Multichannel Reconstruction from few Low-Resolution Multispectral Data

Sparse Time-Frequency Representation of Gravitational-Wave signals in Unions of Wilson Bases

Structured sparsity regularization for gravitational- wave polarization reconstruction

Restauration d’objets astrophysiques à partir de données multispectrales floues et d’une réponse instrument non-stationnaire

Parcimonie structurée pour l’imagerie micro-ondes

Nonlinear imaging of 3D defect in anisotropic laminate using joint sparsity constraints

Restoration from Multispectral Blurred Data with Non-Stationary Instrument Response

Variational Bayesian Approach and Bi-Model for the Reconstruction-Separation of Astrophysics Components

Approche bayésienne variationnelle et bimodèle pour la reconstruction-séparation de composantes astrophysiques

Apports méthodologiques basés sur la parcimonie pour les problèmes inverses

Résultats de généricité en analyse multifractale