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most citedPlug-and-Play Methods for Integrating Physical and Learned Models in Computational Imaging

221 citations · 1.5k across the 104 of their papers we have counts for

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math.OC2018★ 1 cited

signProx: One-Bit Proximal Algorithm for Nonconvex Stochastic Optimization

Xiaojian Xu, Ulugbek S. Kamilov

Stochastic gradient descent (SGD) is one of the most widely used optimization methods for parallel and distributed processing of large datasets. One of the key limitations of distr…