1 citations · 1 across the 12 of their papers we have counts for
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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…
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…
Multi-Bitwidth Quantization for LLMs Using Additive Codebooks
Liza Babaoglu, Shuangyi Chen, Ashish Khisti
As large language models (LLMs) are increasingly deployed across heterogeneous hardware with varying resource constraints, the ability to adaptively manage the performance-efficien…
Multi-Marginal Couplings for Metropolis-Hastings
Buu Phan, Gergely Flamich, Ashish Khisti +1
Convergence diagnosis for Markov chain Monte Carlo is a matter of fundamental importance in computational statistics: it determines the resources allocated to a particular sampling…
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…