5 citations · 6 across the 10 of their papers we have counts for
9 papers
Unlabeled Compressed Sensing from Multiple Measurement Vectors
Mohamed Akrout, Amine Mezghani, Faouzi Bellili
This paper introduces an algorithmic solution to a broader class of unlabeled sensing problems with multiple measurement vectors (MMV). The goal is to recover an unknown structured…
Vector Approximate Message Passing With Arbitrary I.I.D. Noise Priors
Mohamed Akrout, Tiancheng Gao, Faouzi Bellili +1
Approximate message passing (AMP) algorithms are devised under the Gaussianity assumption of the measurement noise vector. In this work, we relax this assumption within the vector…
Representations Matter: Embedding Modes of Large Language Models using Dynamic Mode Decomposition
Mohamed Akrout
Existing large language models (LLMs) are known for generating "hallucinated" content, namely a fabricated text of plausibly looking, yet unfounded, facts. To identify when these h…
From Multilayer Perceptron to GPT: A Reflection on Deep Learning Research for Wireless Physical Layer
Mohamed Akrout, Amine Mezghani, Ekram Hossain +2
Most research studies on deep learning (DL) applied to the physical layer of wireless communication do not put forward the critical role of the accuracy-generalization trade-off in…
Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open Issues
Mohamed Akrout, Amal Feriani, Faouzi Bellili +2
Data-driven machine learning (ML) is promoted as one potential technology to be used in next-generations wireless systems. This led to a large body of research work that applies ML…
Physically Consistent Models for Intelligent Reflective Surface-assisted Communications under Mutual Coupling and Element Size Constraint
Mohamed Akrout, Faouzi Bellili, Amine Mezghani +1
We investigate the benefits of mutual coupling effects between the passive elements of intelligent reconfigurable surfaces (IRSs) on maximizing the achievable rate of downlink Inte…