1 citations · 1 across the 12 of their papers we have counts for
4 papers · 1 filter
An Overview of Rate-Distortion-Perception Theory
Jun Chen, Ashish Khisti
This paper provides a comprehensive overview of the rate-distortion-perception framework, tracing its evolution from mathematical theory to practical deployment. We review the math…
One-Shot Broadcast Joint Source-Channel Coding with Codebook Diversity
Joseph Rowan, Buu Phan, Ashish Khisti
We study a one-shot joint source-channel coding setting where the source is encoded once and broadcast to decoders through independent channels. Success is predicated on at lea…
Channel Simulation and Distributed Compression with Ensemble Rejection Sampling
Buu Phan, Ashish Khisti
We study channel simulation and distributed matching, two fundamental problems with several applications to machine learning, using a recently introduced generalization of the stan…
Importance Matching Lemma for Lossy Compression with Side Information
Buu Phan, Ashish Khisti, Christos Louizos
We propose two extensions to existing importance sampling based methods for lossy compression. First, we introduce an importance sampling based compression scheme that is a variant…