28 citations · 71 across the 18 of their papers we have counts for
3 papers · 1 filter
Towards optimal algorithms for the recovery of low-dimensional models with linear rates
Yann Traonmilin, Jean François Aujol, Antoine Guennec
We consider the problem of recovering elements of a low-dimensional model from linear measurements. From signal and image processing to inverse problems in data science, this quest…
Fast off-the-grid sparse recovery with over-parametrized projected gradient descent
Pierre-Jean Bénard, Yann Traonmilin, Jean-François Aujol
We consider the problem of recovering off-the-grid spikes from Fourier measurements. Successful methods such as sliding Frank-Wolfe and continuous orthogonal matching pursuit (OMP)…
Projected gradient descent for non-convex sparse spike estimation
Yann Traonmilin, Jean-François Aujol, Arthur Leclaire
We propose a new algorithm for sparse spike estimation from Fourier measurements. Based on theoretical results on non-convex optimization techniques for off-the-grid sparse spike e…