
Is good old GRAPPA dead?
We perform a qualitative analysis of performance of XPDNet, a stateoft...
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SHINE: SHaring the INverse Estimate from the forward pass for bilevel optimization and implicit models
In recent years, implicit deep learning has emerged as a method to incre...
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Deep Unrolled Network for Video SuperResolution
Video superresolution (VSR) aims to reconstruct a sequence of highreso...
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Density Compensated Unrolled Networks for NonCartesian MRI Reconstruction
Deep neural networks have recently been thoroughly investigated as a pow...
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Stateoftheart Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge
Accelerating MRI scans is one of the principal outstanding problems in t...
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Denoising ScoreMatching for Uncertainty Quantification in Inverse Problems
Deep neural networks have proven extremely efficient at solving a wide r...
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XPDNet for MRI Reconstruction: an Application to the fastMRI 2020 Brain Challenge
We present a modular crossdomain neural network the XPDNet and its appl...
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Manifold attack
Machine Learning in general and Deep Learning in particular has gained m...
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Semisupervised dictionary learning with graph regularization and active points
Supervised Dictionary Learning has gained much interest in the recent de...
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Deep Learning for spacevariant deconvolution in galaxy surveys
Deconvolution of large survey images with millions of galaxies requires ...
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Semisupervised dual graph regularized dictionary learning
In this paper, we propose a semisupervised dictionary learning method t...
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On the dissection of degenerate cosmologies with machine learning
Based on the DUSTGRAINpathfinder suite of simulations, we investigate o...
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Wasserstein Dictionary Learning: Optimal Transportbased unsupervised nonlinear dictionary learning
This article introduces a new nonlinear dictionary learning method for ...
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Sparsity and adaptivity for the blind separation of partially correlated sources
Blind source separation (BSS) is a very popular technique to analyze mul...
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Superresolution method using sparse regularization for pointspread function recovery
In largescale spatial surveys, such as the forthcoming ESA Euclid missi...
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NMF with Sparse Regularizations in Transformed Domains
Nonnegative blind source separation (nonnegative BSS), which is also r...
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Sparse and NonNegative BSS for Noisy Data
Nonnegative blind source separation (BSS) has raised interest in variou...
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Astronomical Image Denoising Using Dictionary Learning
Astronomical images suffer a constant presence of multiple defects that ...
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ScaleBased Gaussian Coverings: Combining Intra and Inter Mixture Models in Image Segmentation
By a "covering" we mean a Gaussian mixture model fit to observed data. A...
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Wavelet and Curvelet Moments for Image Classification: Application to Aggregate Mixture Grading
We show the potential for classifying images of mixtures of aggregate, b...
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JeanLuc Starck
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