795 citations · 993 across the 20 of their papers we have counts for
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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…
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…
On Cartesian line sampling with anisotropic total variation regularization
Clarice Poon
This paper considers the use of the anisotropic total variation seminorm to recover a two dimensional vector from its partial Fourier coefficients, sa…
Structure dependent sampling in compressed sensing: theoretical guarantees for tight frames
Clarice Poon
Many of the applications of compressed sensing have been based on variable density sampling, where certain sections of the sampling coefficients are sampled more densely. Furthermo…
Breaking the coherence barrier: A new theory for compressed sensing
Ben Adcock, Anders C. Hansen, Clarice Poon +1
This paper provides an extension of compressed sensing which bridges a substantial gap between existing theory and its current use in real-world applications. It introduces a mathe…