A new form of variational autoencoder (VAE) is developed, in which the joint distribution of
data and codes is considered in two (symmetric) forms:(i) from observed data fed through …

Designing channel codes under low-latency constraints is one of the most demanding
requirements in 5G standards. However, a sharp characterization of the performance of …

We consider wireless transmission of images in the presence of channel output feedback.
From a Shannon theoretic perspective feedback does not improve the asymptotic end-to …

While deep neural networks are a highly successful model class, their large memory
footprint puts considerable strain on energy consumption, communication bandwidth, and …

The efficient communication of noisy data has applications in several areas of machine
learning, such as neural compression or differential privacy, and is also known as reverse …

Standard decoding approaches rely on model-based channel estimation methods to
compensate for varying channel effects, which degrade in performance whenever there is a …

Several recent publications have shown that joint source-channel decoding could be a
powerful technique to take advantage of residual source redundancy for fixed-and variable …

We investigate spatially coupled code ensembles. For transmission over the binary erasure
channel, it was recently shown that spatial coupling increases the belief propagation …

Reliable digital communication is a primary workhorse of the modern information age. The
disciplines of communication, coding, and information theories drive the innovation by …

We consider the weighted belief-propagation (WBP) decoder recently proposed by
Nachmani et al. where different weights are introduced for each Tanner graph edge and …