16 citations · 69 across the 27 of their papers we have counts for
4 papers · 1 filter
Recovering Multiple Nonnegative Time Series From a Few Temporal Aggregates
Jiali Mei, Yohann De Castro, Yannig Goude +1
Motivated by electricity consumption metering, we extend existing nonnegative matrix factorization (NMF) algorithms to use linear measurements as observations, instead of matrix en…
Adapting to unknown noise level in sparse deconvolution
Claire Boyer, Yohann De Castro, Joseph Salmon
In this paper, we study sparse spike deconvolution over the space of complex-valued measures when the input measure is a finite sum of Dirac masses. We introduce a modified version…
Sparse Recovery from Extreme Eigenvalues Deviation Inequalities
Sandrine Dallaporta, Yohann De Castro
This article provides a new toolbox to derive sparse recovery guarantees from small deviations on extreme singular values or extreme eigenvalues obtained in Random Matrix Theory. T…
Reconstructing undirected graphs from eigenspaces
Yohann De Castro, Thibault Espinasse, Paul Rochet
In this paper, we aim at recovering an undirected weighted graph of vertices from the knowledge of a perturbed version of the eigenspaces of its adjacency matrix . For insta…