This paper analyzes the information disclosure problems originated in economics through
the lens of information theory. Such problems are radically different from the conventional …

In this paper, we present a learning scheme for Joint Source-Channel Coding (JSCC) over
analog independent additive noise channels. We formulate the learning problem by …

We consider the design of low-delay joint source-channel coding (JSCC) schemes for the
transmission of discrete-time analog sources over noisy channels based on deep neural …

The reliable transmission and processing of information bearing signals over a noisy
communication channel is at the heart of what we call communication. Information theory …

The remote wireless control of industrial systems is one of the major use cases for 5G and
beyond systems: in these cases, the massive amounts of sensory information that need to be …

We consider practical low-delay coding schemes for the lossy transmission of a Gaussian
source over a Gaussian broadcast channel with two receivers in the Wyner-Ziv setting. One …

We consider the problem of controlling an unstable linear plant with Gaussian disturbances
over an additive white Gaussian noise channel with an average transmit power constraint …

We consider the design of neural network based joint source channel coding (JSCC)
schemes for transmitting an independent and identically distributed (iid) Gaussian source …

Lossy transmission of Gaussian sources over energy-limited Gaussian point-to-point and
broadcast channels is studied under the infinite bandwidth regime, ie, when the number of …

This paper considers a sequential estimation and sensor scheduling problem with one
sensor and one estimator. The sensor makes sequential observations about the state of an …