3 papers
cs.LG2026
Scalable Discrete-to-Continuous Channel Simulation for Compression and Privacy
Joseph Rowan, Buu Phan, Ashish J. Khisti
Channel simulation has recently emerged as a useful component in machine learning systems where samples from a prescribed probability distribution are to be compressed. Yet, genera…
cs.IT2026
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…
cs.LG2025
List-Level Distribution Coupling with Applications to Speculative Decoding and Lossy Compression
Joseph Rowan, Buu Phan, Ashish Khisti
We study a relaxation of the problem of coupling probability distributions -- a list of samples is generated from one distribution and an accept is declared if any one of these sam…