93 citations · 524 across the 46 of their papers we have counts for
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cs.IT2019
Nonlinear Function Estimation with Empirical Bayes and Approximate Message Passing
Hangjin Liu, You, Zhou +2
Nonlinear function estimation is core to modern machine learning applications. In this paper, to perform nonlinear function estimation, we reduce a nonlinear inverse problem to a l…
cs.IT2019
Analysis of Approximate Message Passing with Non-Separable Denoisers and Markov Random Field Priors
Yanting Ma, Cynthia Rush, Dror Baron
Approximate message passing (AMP) is a class of low-complexity, scalable algorithms for solving high-dimensional linear regression tasks where one wishes to recover an unknown sign…
cs.IT2019
An Analysis of State Evolution for Approximate Message Passing with Side Information
Hangjin Liu, Cynthia Rush, Dror Baron
A common goal in many research areas is to reconstruct an unknown signal x from noisy linear measurements. Approximate message passing (AMP) is a class of low-complexity algorithms…