Task-Aware Distributed Source Coding under Dynamic Bandwidth

Deep learning based distributed compression for efficient data transmission in multi-sensor networks Reducing communication overload in multi-sensor networks is becoming... Continue

The Fundamental Limits of Prompt Compression

This blog post is written as an overview and summary of our recent work Fundamental Limits of Prompt Compression: A... Continue

Learning Non-Linear Polar codes via Deep Learning

Setup : Channel coding We consider the problem of reliably communicating a binary message over a noisy channel. The effect... Continue

Estimation of Rate-Distortion Function for Computing with Decoder Side Information

In the ever-evolving landscape of data science, the quest for efficient data compression methods remains a critical challenge. Compression not... Continue