1 citations · 1 across the 9 of their papers we have counts for
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Learning-Based Compress-and-Forward Schemes for the Relay Channel
Ezgi Ozyilkan, Fabrizio Carpi, Siddharth Garg +1
The relay channel, consisting of a source-destination pair along with a relay, is a fundamental component of cooperative communications. While the capacity of a general relay chann…
Neural Compress-and-Forward for the Relay Channel
Ezgi Ozyilkan, Fabrizio Carpi, Siddharth Garg +1
The relay channel, consisting of a source-destination pair and a relay, is a fundamental component of cooperative communications. While the capacity of a general relay channel rema…
Robust Distributed Compression with Learned Heegard-Berger Scheme
Eyyup Tasci, Ezgi Ozyilkan, Oguzhan Kubilay Ulger +1
We consider lossy compression of an information source when decoder-only side information may be absent. This setup, also referred to as the Heegard-Berger or Kaspi problem, is a s…
Distributed Compression in the Era of Machine Learning: A Review of Recent Advances
Ezgi Ozyilkan, Elza Erkip
Many applications from camera arrays to sensor networks require efficient compression and processing of correlated data, which in general is collected in a distributed fashion. Whi…