Benchmarking and Analyzing Deep Neural Network Training. - Hongyu Zhu 003; Mohamed Akrout; Bojian Zheng; Andrew Pelegris; Anand Jayarajan; Amar Phanishayee; Bianca Schroeder; Gennady Pekhimenko (IISWC, 2018)

TBD: Benchmarking and Analyzing Deep Neural Network Training. - Hongyu Zhu 003; Mohamed Akrout; Bojian Zheng; Andrew Pelegris; Amar Phanishayee; Bianca Schroeder; Gennady Pekhimenko (CoRR, 2018)

Improving Skin Condition Classification with a Question Answering Model. - Mohamed Akrout; Amir-massoud Farahmand; Tory Jarmain (CoRR, 2018)

Improving Skin Condition Classification with a Visual Symptom Checker Trained Using Reinforcement Learning. - Mohamed Akrout; Amir-massoud Farahmand; Tory Jarmain; Latif Abid (MICCAI (4), 2019)

Deep Learning without Weight Transport. - Mohamed Akrout; Collin Wilson; Peter Conway Humphreys; Timothy P. Lillicrap; Douglas B. Tweed (NeurIPS, 2019)

Hacking Google reCAPTCHA v3 using Reinforcement Learning. - Ismail Akrout; Amal Feriani; Mohamed Akrout (CoRR, 2019)

On the Adversarial Robustness of Neural Networks without Weight Transport. - Mohamed Akrout (CoRR, 2019)

Machine Ethics: The Creation of a Virtuous Machine. - Mohamed Akrout; Robert Steinbauer (CoRR, 2020)

Multiple Access in Dynamic Cell-Free Networks: Outage Performance and Deep Reinforcement Learning-Based Design. - Yasser F. Al-Eryani; Mohamed Akrout; Ekram Hossain 001 (CoRR, 2020)

Simultaneous Energy Harvesting and Information Transmission in a MIMO Full-Duplex System: A Machine Learning-Based Design. - Yasser F. Al-Eryani; Mohamed Akrout; Ekram Hossain 001 (CoRR, 2020)

Distributed Uplink Beamforming in Cell-Free Networks Using Deep Reinforcement Learning. - Firas Fredj; Yasser F. Al-Eryani; Setareh Maghsudi; Mohamed Akrout; Ekram Hossain 001 (CoRR, 2020)

Bilinear Generalized Vector Approximate Message Passing. - Mohamed Akrout; Anis Housseini; Faouzi Bellili; Amine Mezghani (CoRR, 2020)

Benchmarking the Accuracy and Robustness of Feedback Alignment Algorithms. - Albert Jiménez Sanfiz; Mohamed Akrout (CoRR, 2021)

Optimizing Binary Symptom Checkers via Approximate Message Passing. - Mohamed Akrout; Faouzi Bellili; Amine Mezghani; Hayet Amdouni (CoRR, 2021)

On Bock's Conjecture Regarding the Adam Optimizer. - Mohamed Akrout; Douglas B. Tweed (CoRR, 2021)

Multiple Access in Cell-Free Networks: Outage Performance, Dynamic Clustering, and Deep Reinforcement Learning-Based Design. - Yasser F. Al-Eryani; Mohamed Akrout; Ekram Hossain 001 (IEEE J. Sel. Areas Commun., 2021)

Antenna Clustering for Simultaneous Wireless Information and Power Transfer in a MIMO Full-Duplex System: A Deep Reinforcement Learning-Based Design. - Yasser F. Al-Eryani; Mohamed Akrout; Ekram Hossain 001 (IEEE Trans. Commun., 2021)

BiG-VAMP: The Bilinear Generalized Vector Approximate Message Algorithm. - Mohamed Akrout; Anis Housseini; Faouzi Bellili; Amine Mezghani (IEEECONF, 2022)

Massive Unsourced Random Access Based on Bilinear Vector Approximate Message Passing. - Ramzi Ayachi; Mohamed Akrout; Volodymyr Shyianov; Faouzi Bellili; Amine Mezghani (ICASSP, 2022)

A 35-Year Longitudinal Analysis of Dermatology Patient Behavior Across Economic and Cultural Manifestations in Tunisia, and the Impact of Digital Tools. - Mohamed Akrout; Hayet Amdouni; Amal Feriani; Monia Kourda; Latif Abid (EPIMI/ML-CDS@MICCAI, 2022)

Dynamic Noises of Multi-Agent Environments Can Improve Generalization: Agent-based Models meets Reinforcement Learning. - Mohamed Akrout; Amal Feriani; Bob McLeod (CoRR, 2022)

A 35-Year Longitudinal Analysis of Dermatology Patient Behavior across Economic & Cultural Manifestations in Tunisia, and the Impact of Digital Tools. - Mohamed Akrout; Hayet Amdouni; Amal Feriani; Monia Kourda; Latif Abid (CoRR, 2022)

Distributed Beamforming Techniques for Cell-Free Wireless Networks Using Deep Reinforcement Learning. - Firas Fredj; Yasser F. Al-Eryani; Setareh Maghsudi; Mohamed Akrout; Ekram Hossain 001 (IEEE Trans. Cogn. Commun. Netw., 2022)

Achievable Rate With Antenna Size Constraint: Shannon Meets Chu and Bode. - Volodymyr Shyianov; Mohamed Akrout; Faouzi Bellili; Amine Mezghani; Robert W. Heath Jr. (IEEE Trans. Commun., 2022)

Physically Consistent Models for Intelligent Reflective Surface-Assisted Communications Under Mutual Coupling and Element Size Constraint. - Mohamed Akrout; Faouzi Bellili; Amine Mezghani; Josef A. Nossek (ACSSC, 2023)

Continual Learning-Based MIMO Channel Estimation: A Benchmarking Study. - Mohamed Akrout; Amal Feriani; Faouzi Bellili; Amine Mezghani; Ekram Hossain 001 (ICC, 2023)

Bandwidth Gain: The Missing Gain of Massive MIMO. - Mohamed Akrout; Volodymyr Shyianov; Faouzi Bellili; Amine Mezghani; Robert W. Heath Jr. (ICC, 2023)

Diffusion-Based Data Augmentation for Skin Disease Classification: Impact Across Original Medical Datasets to Fully Synthetic Images. - Mohamed Akrout; Bálint Gyepesi; Péter Holló; Adrienn Poór; Blága Kincso; Stephen Solis; Katrina Cirone; Jeremy Kawahara; Dekker Slade; Latif Abid; Máté Kovács; István Fazekas (DGM4MICCAI, 2023)

Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open Issues. - Mohamed Akrout; Amal Feriani; Faouzi Bellili; Amine Mezghani; Ekram Hossain 001 (IEEE Commun. Surv. Tutorials, 2023)

Representations Matter: Embedding Modes of Large Language Models using Dynamic Mode Decomposition. - Mohamed Akrout (CoRR, 2023)

Achievable Rate of Near-Field Communications Based on Physically Consistent Models. - Mohamed Akrout; Volodymyr Shyianov; Faouzi Bellili; Amine Mezghani; Robert W. Heath Jr. (IEEE Trans. Wirel. Commun., 2023)

Super-Wideband Massive MIMO. - Mohamed Akrout; Volodymyr Shyianov; Faouzi Bellili; Amine Mezghani; Robert W. Heath Jr. (IEEE J. Sel. Areas Commun., 2023)

Binary Relaxation on Unlabeled Graph Matching: A Twin-VAMP Approach. - Mohamed Akrout; Faouzi Bellili; Amine Mezghani (IEEECONF, 2024)

Extending Kalman Filters for non-Gaussian Process Noise Sources via Approximate Message Passing. - Tiancheng Gao; Mohamed Akrout; Faouzi Bellili; Amine Mezghani (IEEECONF, 2024)

Vector Approximate message Passing with Arbitrary I.I.D. Noise Priors. - Mohamed Akrout; Tiancheng Gao; Faouzi Bellili; Amine Mezghani (ICASSP, 2024)

Distributed Vector Approximate Message Passing. - Mukilan Karuppasamy; Mohamed Akrout; Faouzi Bellili; Amine Mezghani (ICASSP, 2024)

On the Out-of-Distribution Evaluation of ML-Based End-to-End Communications Systems. - Mohamed Akrout; Faouzi Bellili; Amine Mezghani; Ekram Hossain 001 (ICC, 2024)

Next-slot OFDM-CSI Prediction: Multi-head Self-attention or State Space Model? - Mohamed Akrout; Faouzi Bellili; Amine Mezghani; Robert W. Heath Jr. (CoRR, 2024)

From Multilayer Perceptron to GPT: A Reflection on Deep Learning Research for Wireless Physical Layer. - Mohamed Akrout; Amine Mezghani; Ekram Hossain 001; Faouzi Bellili; Robert W. Heath Jr. (IEEE Commun. Mag., 2024)

Unlabeled Compressed Sensing From Multiple Measurement Vectors. - Mohamed Akrout; Amine Mezghani; Faouzi Bellili (IEEE Trans. Signal Process., 2025)

The Tri-Hybrid MIMO Architecture. - Robert W. Heath Jr.; Joseph Carlson; Nitish Vikas Deshpande 001; Miguel Rodrigo Castellanos; Mohamed Akrout; Chan-Byoung Chae (CoRR, 2025)