4 papers
SoftBinary Coding: A New Information-Theoretic Neural Compression Paradigm
Ezgi Ozyilkan, Sharang M. Sriramu, Elza Erkip +2
Neural compression is currently dominated by Nonlinear Transform Coding (NTC), which maps data to real-valued latents via continuous transforms. Despite its success, NTC suffers fr…
Learning to Compute on Dirty Paper
Shreesal Shrestha, Kuranage Roche Rayan Ranasinghe, Giuseppe Thadeu Freitas de Abreu +1
We propose a fully learning-based approach to integrated communication and computing (ICC) that combines dirty paper coding (DPC) with over-the-air computation. Each user employs a…
A Constrained RL Approach for Cost-Efficient Delivery of Latency-Sensitive Applications
Ozan Aygün, Vincenzo Norman Vitale, Antonia M. Tulino +3
Next-generation networks aim to provide performance guarantees to real-time interactive services that require timely and cost-efficient packet delivery. In this context, the goal i…
Neural Compress-and-Forward for the Primitive Diamond Relay Channel
Ozan Aygün, Ezgi Ozyilkan, Elza Erkip
The diamond relay channel, where a source communicates with a destination via two parallel relays, is one of the canonical models for cooperative communications. We focus on the pr…