5 papers
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…
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…
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…