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Found 2 papers, 1 papers with code
AMP-Inspired Deep Networks for Sparse Linear Inverse Problems
signals, the linear transforms and scalar nonlinearities prescribed by the VAMP algorithm coincide with the values learned through back-propagation, leading to an intuitive interpretation of learned VAMP.
Information Theory Information Theory
Onsager-corrected deep learning for sparse linear inverse problems
Deep learning has gained great popularity due to its widespread success on many inference problems.
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