428 citations · 1.9k across the 46 of their papers we have counts for
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Simultaneous structures in convex signal recovery - revisiting the convex combination of norms
Martin Kliesch, Stanislaw J. Szarek, Peter Jung
In compressed sensing one uses known structures of otherwise unknown signals to recover them from as few linear observations as possible. The structure comes in form of some compre…
Note on the saturation of the norm inequalities between diamond and nuclear norm
Ulrich Michel, Martin Kliesch, Richard Kueng +1
The diamond norm plays an important role in quantum information and operator theory. Recently, it has also been proposed as a regularizer for low-rank matrix recovery. The norm con…
Reliable recovery of hierarchically sparse signals for Gaussian and Kronecker product measurements
Ingo Roth, Martin Kliesch, Axel Flinth +2
We propose and analyze a solution to the problem of recovering a block sparse signal with sparse blocks from linear measurements. Such problems naturally emerge inter alia in the c…
Improving compressed sensing with the diamond norm
Martin Kliesch, Richard Kueng, Jens Eisert +1
In low-rank matrix recovery, one aims to reconstruct a low-rank matrix from a minimal number of linear measurements. Within the paradigm of compressed sensing, this is made computa…