52 citations · 270 across the 25 of their papers we have counts for
3 papers · 1 filter
Convolutional Proximal Neural Networks and Plug-and-Play Algorithms
Johannes Hertrich, Sebastian Neumayer, Gabriele Steidl
In this paper, we introduce convolutional proximal neural networks (cPNNs), which are by construction averaged operators. For filters of full length, we propose a stochastic gradie…
PCA Reduced Gaussian Mixture Models with Applications in Superresolution
Johannes Hertrich, Dang Phoung Lan Nguyen, Jean-Fancois Aujol +4
Despite the rapid development of computational hardware, the treatment of large and high dimensional data sets is still a challenging problem. This paper provides a twofold contrib…
Inertial Stochastic PALM (iSPALM) and Applications in Machine Learning
Johannes Hertrich, Gabriele Steidl
Inertial algorithms for minimizing nonsmooth and nonconvex functions as the inertial proximal alternating linearized minimization algorithm (iPALM) have demonstrated their superior…