1.2k citations · 4.9k across the 66 of their papers we have counts for
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cs.IT2015★ 15 cited
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…
cs.IT2015
Stable low-rank matrix recovery via null space properties
Maryia Kabanava, Richard Kueng, Holger Rauhut +1
The problem of recovering a matrix of low rank from an incomplete and possibly noisy set of linear measurements arises in a number of areas. In order to derive rigorous recovery re…