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math.OC2022★ 1 cited
Deep unfolding as iterative regularization for imaging inverse problems
Zhuo-Xu Cui, Qingyong Zhu, Jing Cheng +1
Recently, deep unfolding methods that guide the design of deep neural networks (DNNs) through iterative algorithms have received increasing attention in the field of inverse proble…
math.OC2016
A Nonconvex Nonsmooth Regularization Method for Compressed Sensing and Low-Rank Matrix Completion
Zhuo-Xu Cui, Qibin Fan
In this paper, nonconvex and nonsmooth models for compressed sensing (CS) and low rank matrix completion (MC) is studied. The problem is formulated as a nonconvex regularized leat…