research
∙
12/29/2021
Machine Learning Methods for Spectral Efficiency Prediction in Massive MIMO Systems
Channel decoding, channel detection, channel assessment, and resource ma...
share
research
∙
07/28/2021
Finding Better Precoding in Massive MIMO using Optimization Approach
The paper studies the multi-user precoding problem as a non-convex optim...
research
∙
04/29/2021
Massive MIMO Adaptive Modulation and Coding Using Online Deep Learning
The paper describes an online deep learning algorithm for the adaptive m...
research
∙
06/18/2020
MARS: Masked Automatic Ranks Selection in Tensor Decompositions
Tensor decomposition methods have recently proven to be efficient for co...
research
∙
01/23/2019
Hamiltonian Monte-Carlo for Orthogonal Matrices
We consider the problem of sampling from posterior distributions for Bay...
research
∙
10/19/2017
Scalable Gaussian Processes with Billions of Inducing Inputs via Tensor Train Decomposition
We propose a method (TT-GP) for approximate inference in Gaussian Proces...
research
∙
11/18/2016