Claire Boyer

The goal of these lectures is to present two problems arising in various applications when data is missing: compressed sensing and matrix completion. Both consist in reconstructing a very high-dimensional object from a few information. This is not...

The talk will be divided into 2 parts. First, we will theoretically justify the applicability of compressed sensing (CS) in real-life applications. To do so, I will introduce CS theorems compatible with physical acquisition constraints. These new...