130 citations · 173 across the 11 of their papers we have counts for
4 papers · 1 filter
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…
NEWMA: a new method for scalable model-free online change-point detection
Nicolas Keriven, Damien Garreau, Iacopo Poli
We consider the problem of detecting abrupt changes in the distribution of a multi-dimensional time series, with limited computing power and memory. In this paper, we propose a new…
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…
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…