Search Results for author: David Burth Kurka

Found 9 papers, 2 papers with code

DeepJSCC-Q: Constellation Constrained Deep Joint Source-Channel Coding

no code implementations16 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.

Augmenting Novelty Search with a Surrogate Model to Engineer Meta-Diversity in Ensembles of Classifiers

no code implementations30 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.

DeepJSCC-Q: Channel Input Constrained Deep Joint Source-Channel Coding

no code implementations25 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.

Communicate to Learn at the Edge

no code implementations28 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.

Bandwidth-Agile Image Transmission with Deep Joint Source-Channel Coding

no code implementations26 Sep 2020 David Burth Kurka, Deniz Gündüz

We propose deep learning based communication methods for adaptive-bandwidth transmission of images over wireless channels.

DeepJSCC-f: Deep Joint Source-Channel Coding of Images with Feedback

4 code implementations25 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.

Successive Refinement of Images with Deep Joint Source-Channel Coding

no code implementations15 Mar 2019 David Burth Kurka, Deniz Gunduz

We introduce deep learning based communication methods for successive refinement of images over wireless channels.

Deep Joint Source-Channel Coding for Wireless Image Transmission

1 code implementation4 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.

Online Social Network Analysis: A Survey of Research Applications in Computer Science

no code implementations22 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

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