Artificial Neural-Network-based (ANN-based) lossy compressors have recen...
We introduce a new distortion measure for point processes called
functio...
We consider the one-bit quantizer that minimizes the mean squared error ...
We show the existence of universal, variable-rate rate-distortion codes ...
This paper presents a method for computing a finite-blocklength converse...
A rate-distortion-perception (RDP) tradeoff has recently been proposed b...
A novel variant of lossy coding is considered in which the distortion me...
We consider a linear autoencoder in which the latent variables are quant...
The rate-distortion-perception function (RDPF; Blau and Michaeli, 2019) ...
We provide a practical implementation of the rubber method of Ahlswede e...
Neural-network-based compressors have proven to be remarkably effective ...
We characterize the growth of the Sibson mutual information, of any orde...
Side channels represent a broad class of security vulnerabilities that h...
We introduce a novel mechanism, called timid/bold coding, by which feedb...
The exact order of the optimal sub-exponentially decaying factor in the
...
Given two random variables X and Y, an operational approach is undertake...
The entropy of a quantum system is a measure of its randomness, and has
...