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math.ST2022★ 5 cited
Learning linear operators: Infinite-dimensional regression as a well-behaved non-compact inverse problem
Mattes Mollenhauer, Nicole Mücke, T. J. Sullivan
We consider the problem of learning a linear operator between two Hilbert spaces from empirical observations, which we interpret as least squares regression in infinite dimensi…
cs.IT2022
Algorithm Unfolding for Block-sparse and MMV Problems with Reduced Training Overhead
Jan Christian Hauffen, Peter Jung, Nicole Mücke
In this paper we consider algorithm unfolding for the Multiple Measurement Vector (MMV) problem in the case where only few training samples are available. Algorithm unfolding has b…