IEEE

Regularized Iterative Stochastic Approximation Methods for Stochastic Variational Inequality Problems

Abstract: We consider a Cartesian stochastic variational inequality problem with a monotone map. Monotone stochastic variational inequalities arise naturally, for instance, as the equilibrium ...
IEEE

Deep-Variational-Inference-Learning Detection for Cell-Free Massive MIMO With Quantization Error

Abstract: A deep variational inference learning (DVIL) framework is proposed for data detection for cell-free massive multiple-input multiple-output (MIMO). The ...
GitHub

Generative Neural Methods Based On Model Iteration

Using a Deep Residual Convolutional Neural Network as an Image Transformation Network (ITN). We train the ITN to transform input images into output images. We use a VGG19 which is pre-trained on ...
archive

The rational iteration method by Georges Lemaitre (working papers)

Ask the publishers to restore access to 500,000+ books. An icon used to represent a menu that can be toggled by interacting with this icon. A line drawing of the Internet Archive headquarters building ...
GitHub

Riemannian Geometry-Based Spatial Filtering (RSF)

Riemannian Geometry-Based Spatial Filtering (RSF) is a method based on Riemannian geometry designed to improve the accuracy of motor imagery (MI) and electroencephalogram (EEG) signal classification.