50 citations · 139 across the 24 of their papers we have counts for
4 papers · 1 filter
Sparse linear regression with compressed and low-precision data via concave quadratic programming
Vito Cerone, Sophie M. Fosson, Diego Regruto
We consider the problem of the recovery of a k-sparse vector from compressed linear measurements when data are corrupted by a quantization noise. When the number of measurements is…
Analysis of SparseHash: an efficient embedding of set-similarity via sparse projections
Diego Valsesia, Sophie Marie Fosson, Chiara Ravazzi +2
Embeddings provide compact representations of signals in order to perform efficient inference in a wide variety of tasks. In particular, random projections are common tools to cons…
Recovery of binary sparse signals from compressed linear measurements via polynomial optimization
Sophie M. Fosson, Mohammad Abuabiah
The recovery of signals with finite-valued components from few linear measurements is a problem with widespread applications and interesting mathematical characteristics. In the co…
A linear programming approach to sparse linear regression with quantized data
Vito Cerone, Sophie M. Fosson, Diego Regruto
The sparse linear regression problem is difficult to handle with usual sparse optimization models when both predictors and measurements are either quantized or represented in low-p…