A Perspective on Neural Capacity Estimation: Viability and Reliability. (arXiv:2203.11793v2 [cs.IT] UPDATED)

Recently, several methods have been proposed for estimating the mutual
information from sample data using deep neural networks. These estimators ar
referred to as neural mutual information estimation (NMIE)s. NMIEs differ from
other approaches as they are data-driven estimators. As such, they have the
potential to perform well on a large class of capacity problems. In order to
test the performance across various NMIEs, it is desirable to establish a
benchmark encompassing the different challenges of capacity estimation. This is …

arxiv capacity perspective reliability