3 citations · 4 across the 2 of their papers we have counts for
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cs.IT2018
Support Localization and the Fisher Metric for off-the-grid Sparse Regularization
Clarice Poon, Nicolas Keriven, Gabriel Peyré
Sparse regularization is a central technique for both machine learning (to achieve supervised features selection or unsupervised mixture learning) and imaging sciences (to achieve…
cs.IT2018
Instance Optimal Decoding and the Restricted Isometry Property
Nicolas Keriven, Rémi Gribonval
In this paper, we address the question of information preservation in ill-posed, non-linear inverse problems, assuming that the measured data is close to a low-dimensional model se…
cs.IT2018
The geometry of off-the-grid compressed sensing
Clarice Poon, Nicolas Keriven, Gabriel Peyré
This paper presents a sharp geometric analysis of the recovery performance of sparse regularization. More specifically, we analyze the BLASSO method which estimates a sparse measur…