Magnetic resonance imaging (MRI) is a noninvasive diagnostic tool that provides excellent soft-tissue contrast without the use of ionizing radiation. Compared to other clinical imaging …
K Takeuchi - IEEE Transactions on Information Theory, 2019 - ieeexplore.ieee.org
Signal recovery from unitarily invariant measurements is investigated in this paper. A message-passing algorithm is formulated on the basis of expectation propagation (EP). A …
P Schniter, S Rangan… - 2016 50th Asilomar …, 2016 - ieeexplore.ieee.org
The generalized linear model (GLM), where a random vector x is observed through a noisy, possibly nonlinear, function of a linear transform output z= Ax, arises in a range of …
There has been a recent surge of interest in the study of asymptotic reconstruction performance in various cases of generalized linear estimation problems in the teacher …
Estimating a vector $\mathbf {x} $ from noisy linear measurements $\mathbf {Ax+ w} $ often requires use of prior knowledge or structural constraints on $\mathbf {x} $ for accurate …
X Tan, YL Ueng, Z Zhang, X You… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Among various massive multiple-input multiple-output (MIMO) signal detection schemes, expectation propagation (EP) achieves superior performance in high-dimensional systems …
At the heart of machine learning lies the question of generalizability of learned rules over previously unseen data. While over-parameterized models based on neural networks are …
Deep generative priors offer powerful models for complex-structured data, such as images, audio, and text. Using these priors in inverse problems typically requires estimating the input …