no code implementations • 16 Jun 2022 • Tze-Yang Tung, David Burth Kurka, Mikolaj Jankowski, Deniz Gunduz
Recent works have shown that modern machine learning techniques can provide an alternative approach to the long-standing joint source-channel coding (JSCC) problem.
no code implementations • 30 Jan 2022 • Rui P. Cardoso, Emma Hart, David Burth Kurka, Jeremy V. Pitt
Using Neuroevolution combined with Novelty Search to promote behavioural diversity is capable of constructing high-performing ensembles for classification.
no code implementations • 25 Nov 2021 • Tze-Yang Tung, David Burth Kurka, Mikolaj Jankowski, Deniz Gündüz
Recent works have shown that the task of wireless transmission of images can be learned with the use of machine learning techniques.
no code implementations • 28 Sep 2020 • Deniz Gunduz, David Burth Kurka, Mikolaj Jankowski, Mohammad Mohammadi Amiri, Emre Ozfatura, Sreejith Sreekumar
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 challenges.
no code implementations • 26 Sep 2020 • David Burth Kurka, Deniz Gündüz
We propose deep learning based communication methods for adaptive-bandwidth transmission of images over wireless channels.
4 code implementations • 25 Nov 2019 • David Burth Kurka, Deniz Gündüz
It is well known that separation is not optimal in the practical finite blocklength regime; however, there are no known practical joint source-channel coding (JSCC) schemes that can exploit the feedback signal and surpass the performance of separation-based schemes.
no code implementations • 15 Mar 2019 • David Burth Kurka, Deniz Gunduz
We introduce deep learning based communication methods for successive refinement of images over wireless channels.
2 code implementations • 4 Sep 2018 • 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; instead, it directly maps the image pixel values to the complex-valued channel input symbols.
no code implementations • 22 Apr 2015 • David Burth Kurka, Alan Godoy, Fernando J. Von Zuben
The emergence and popularization of online social networks suddenly made available a large amount of data from social organization, interaction and human behavior.
Social and Information Networks Physics and Society