157 citations · 295 across the 27 of their papers we have counts for
30 papers
Content Adaptive Encoding For Interactive Game Streaming
Shakarim Soltanayev, Odysseas Zisimopoulos, Mohammad Ashraful Anam +3
Video-on-demand streaming has benefitted from \textit{content-adaptive encoding} (CAE), i.e., adaptation of resolution and/or quantization parameters for each scene based on convex…
A Memory-Efficient Learning Framework for SymbolLevel Precoding with Quantized NN Weights
Abdullahi Mohammad, Christos Masouros, Yiannis Andreopoulos
This paper proposes a memory-efficient deep neural network (DNN) framework-based symbol level precoding (SLP). We focus on a DNN with realistic finite precision weights and adopt a…
An Unsupervised Deep Unfolding Framework for robust Symbol Level Precoding
Abdullahi Mohammad, Christos Masouros, Yiannis Andreopoulos
Symbol Level Precoding (SLP) has attracted significant research interest due to its ability to exploit interference for energy-efficient transmission. This paper proposes an unsupe…
Learning-Based Symbol Level Precoding: A Memory-Efficient Unsupervised Learning Approach
Abdullahi Mohammad, Christos Masouros, Yiannis Andreopoulos
Symbol level precoding (SLP) has been proven to be an effective means of managing the interference in a multiuser downlink transmission and also enhancing the received signal power…
An Unsupervised Learning-Based Approach for Symbol-Level-Precoding
Abdullahi Mohammad, Christos Masouros, Yiannis Andreopoulos
This paper proposes an unsupervised learning-based precoding framework that trains deep neural networks (DNNs) with no target labels by unfolding an interior point method (IPM) pro…
Biased Mixtures Of Experts: Enabling Computer Vision Inference Under Data Transfer Limitations
Alhabib Abbas, Yiannis Andreopoulos
We propose a novel mixture-of-experts class to optimize computer vision models in accordance with data transfer limitations at test time. Our approach postulates that the minimum a…