Probabilistic Mapping of Dark Matter by Neural Score Matching
The Dark Matter present in the Large-Scale Structure of the Universe is invisible, but…
Category: publications_jls
J.-L. Starck’s publications
XPDNet for MRI Reconstruction: an Application to the fastMRI 2020 Brain Challenge
We present a modular cross-domain neural network the XPDNet and its application to the…
Denoising Score-Matching for Uncertainty Quantification in Inverse Problems
Deep neural networks have proven extremely efficient at solving a wide range of inverse…
Wavelets in the Deep Learning Era
Sparsity based methods, such as wavelets, have been state-of-the-art for more than 20 years…
Benchmarking Deep Nets MRI Reconstruction Models on the FastMRI Publicly Available Dataset
The MRI reconstruction field lacked a proper data set that allowed for reproducible…
Benchmarking proximal methods acceleration enhancements for CS-acquired MR image analysis reconstruction
Reference: Z. Ramzi, P. Ciuciu and J.-L. Starck. “Benchmarking proximal methods acceleration enhancements for CS-acquired MR image…
Semi-supervised dictionary learning with graph regularization and active points
Authors: Khanh-Hung Tran, Fred-Maurice Ngole-Mboula, J-L. Starck Journal: SIAM Journal on Imaging Sciences…
Deep Learning for space-variant deconvolution in galaxy surveys
Authors: Florent Sureau, Alexis Lechat, J-L. Starck Journal: Astronomy and Astrophysics Year: 2020…
PySAP: Python Sparse Data Analysis Package for Multidisciplinary Image Processing
Authors: S. Farrens, A. Grigis, L. El Gueddari, Z. Ramzi, Chaithya G. R.,…
Euclid: The reduced shear approximation and magnification bias for Stage IV cosmic shear experiments
Authors: A.C. Deshpande, ..., S. Casas, M. Kilbinger, V. Pettorino, S. Pires, J.-L. Starck,…