33 citations · 89 across the 29 of their papers we have counts for
35 papers
Grid is Good: Adaptive Refinement Algorithms for Off-the-Grid Total Variation Minimization
Axel Flinth, Frédéric de Gournay, Pierre Weiss
We propose an adaptive refinement algorithm to solve total variation regularized measure optimization problems. The method iteratively constructs dyadic partitions of the unit cube…
Bayesian Optimization of Sampling Densities in MRI
Alban Gossard, Frédéric de Gournay, Pierre Weiss
Data-driven optimization of sampling patterns in MRI has recently received a significant attention.Following recent observations on the combinatorial number of minimizers in off-th…
Spurious minimizers in non uniform Fourier sampling optimization
Frédéric de Gournay, Alban Gossard, Pierre Weiss
A recent trend in the signal/image processing literature is the optimization of Fourier sampling schemes for specific datasets of signals. In this paper, we explain why choosing op…
Training Adaptive Reconstruction Networks for Blind Inverse Problems
Alban Gossard, Pierre Weiss
Neural networks allow solving many ill-posed inverse problems with unprecedented performance. Physics informed approaches already progressively replace carefully hand-crafted recon…
Blind inverse problems with isolated spikes
Valentin Debarnot, Pierre Weiss
Assume that an unknown integral operator living in some known subspace is observed indirectly, by evaluating its action on a few Dirac masses at unknown locations. Is this informat…
Optimizing full 3D SPARKLING trajectories for high-resolution T2*-weighted Magnetic Resonance Imaging
Chaithya G R, Pierre Weiss, Guillaume Daval-Frérot +3
The Spreading Projection Algorithm for Rapid K-space samplING, or SPARKLING, is an optimization-driven method that has been recently introduced for accelerated 2D T2*-w MRI using c…