1.5k citations · 1.5k across the 5 of their papers we have counts for
8 papers
DeepJSCC-Q: Constellation Constrained Deep Joint Source-Channel Coding
Tze-Yang Tung, David Burth Kurka, Mikolaj Jankowski +1
Recent works have shown that modern machine learning techniques can provide an alternative approach to the long-standing joint source-channel coding (JSCC) problem. Very promising…
Augmenting Novelty Search with a Surrogate Model to Engineer Meta-Diversity in Ensembles of Classifiers
Rui P. Cardoso, Emma Hart, David Burth Kurka +1
Using Neuroevolution combined with Novelty Search to promote behavioural diversity is capable of constructing high-performing ensembles for classification. However, using gradient…
DeepJSCC-Q: Channel Input Constrained Deep Joint Source-Channel Coding
Tze-Yang Tung, David Burth Kurka, Mikolaj Jankowski +1
Recent works have shown that the task of wireless transmission of images can be learned with the use of machine learning techniques. Very promising results in end-to-end image qual…
Communicate to Learn at the Edge
Deniz Gunduz, David Burth Kurka, Mikolaj Jankowski +3
Bringing the success of modern machine learning (ML) techniques to mobile devices can enable many new services and businesses, but also poses significant technical and research cha…
Bandwidth-Agile Image Transmission with Deep Joint Source-Channel Coding
David Burth Kurka, Deniz Gündüz
We propose deep learning based communication methods for adaptive-bandwidth transmission of images over wireless channels. We consider the scenario in which images are transmitted…
DeepJSCC-f: Deep Joint Source-Channel Coding of Images with Feedback
David Burth Kurka, Deniz Gündüz
We consider wireless transmission of images in the presence of channel output feedback. From a Shannon theoretic perspective feedback does not improve the asymptotic end-to-end per…
Successive Refinement of Images with Deep Joint Source-Channel Coding
David Burth Kurka, Deniz Gunduz
We introduce deep learning based communication methods for successive refinement of images over wireless channels. We present three different strategies for progressive image trans…
Deep Joint Source-Channel Coding for Wireless Image Transmission
Eirina Bourtsoulatze, David Burth Kurka, Deniz Gunduz
We propose a joint source and channel coding (JSCC) technique for wireless image transmission that does not rely on explicit codes for either compression or error correction; inste…