| Deep learning without weight transport M Akrout, C Wilson, P Humphreys, T Lillicrap, DB Tweed Advances in neural information processing systems 32, 2019 | 163 | 2019 |
| Benchmarking and analyzing deep neural network training H Zhu, M Akrout, B Zheng, A Pelegris, A Jayarajan, A Phanishayee, ... 2018 IEEE International Symposium on Workload Characterization (IISWC), 88-100, 2018 | 154 | 2018 |
| Multiple access in cell-free networks: Outage performance, dynamic clustering, and deep reinforcement learning-based design Y Al-Eryani, M Akrout, E Hossain IEEE Journal on Selected Areas in Communications 39 (4), 1028-1042, 2020 | 125 | 2020 |
| Tbd: Benchmarking and analyzing deep neural network training H Zhu, M Akrout, B Zheng, A Pelegris, A Phanishayee, B Schroeder, ... arXiv preprint arXiv:1803.06905, 2018 | 90 | 2018 |
| Diffusion-based Data Augmentation for Skin Disease Classification: Impact Across Original Medical Datasets to Fully Synthetic Images M Akrout, B Gyepesi, P Holló, A Poór, B Kincső, S Solis, K Cirone, ... MICCAI Workshop on Deep Generative Models, 2023 | 73* | 2023 |
| Distributed beamforming techniques for cell-free wireless networks using deep reinforcement learning F Fredj, Y Al-Eryani, S Maghsudi, M Akrout, E Hossain IEEE Transactions on Cognitive Communications and Networking 8 (2), 1186-1201, 2022 | 53* | 2022 |
| Hacking Google reCAPTCHA v3 using reinforcement learning I Akrout, A Feriani, M Akrout Reinforcement Learning and Decision Making (RLDM) Conference 2019, 2019 | 43 | 2019 |
| Antenna clustering for simultaneous wireless information and power transfer in a MIMO full-duplex system: A deep reinforcement learning-based design Y Al-Eryani, M Akrout, E Hossain IEEE Transactions on Communications 69 (4), 2331-2345, 2021 | 38* | 2021 |
| Improving skin condition classification with a visual symptom checker trained using reinforcement learning M Akrout, A Farahmand, T Jarmain, L Abid Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 33 | 2019 |
| Domain generalization in machine learning models for wireless communications: Concepts, state-of-the-art, and open issues M Akrout, A Feriani, F Bellili, A Mezghani, E Hossain IEEE Communications Surveys & Tutorials, 2023 | 31 | 2023 |
| Super-wideband massive mimo M Akrout, V Shyianov, F Bellili, A Mezghani, RW Heath IEEE Journal on Selected Areas in Communications 41 (8), 2414-2430, 2023 | 26 | 2023 |
| Achievable rate with antenna size constraint: Shannon meets Chu and Bode V Shyianov, M Akrout, F Bellili, A Mezghani, RW Heath IEEE Transactions on Communications 70 (3), 2010-2024, 2021 | 21 | 2021 |
| Physically consistent models for intelligent reflective surface-assisted communications under mutual coupling and element size constraint M Akrout, F Bellili, A Mezghani, JA Nossek 2023 57th Asilomar Conference on Signals, Systems, and Computers, 1589-1594, 2023 | 18 | 2023 |
| Achievable rate of near-field communications based on physically consistent models M Akrout, V Shyianov, F Bellili, A Mezghani, RW Heath IEEE Transactions on Wireless Communications 22 (2), 1266-1280, 2022 | 18 | 2022 |
| Using weight mirrors to improve feedback alignment M Akrout, C Wilson, PC Humphreys, T Lillicrap, D Tweed arXiv preprint arXiv:1904.05391, 2019 | 16 | 2019 |
| Bilinear generalized vector approximate message passing M Akrout, A Housseini, F Bellili, A Mezghani arXiv preprint arXiv:2009.06854, 2020 | 13 | 2020 |
| Assessing the utility of multimodal large language models (GPT-4 vision and large language and vision assistant) in identifying melanoma across different skin tones K Cirone, M Akrout, L Abid, A Oakley JMIR dermatology 7, e55508, 2024 | 12 | 2024 |
| System to collect and identify skin conditions from images and expert knowledge A Abid, AJ Sanfiz, AR Lopez, ET Jarmain, M Akrout, A Challa, ... US Patent 10,878,567, 2020 | 12 | 2020 |
| On the Adversarial Robustness of Neural Networks without Weight Transport M Akrout Real Neurons & Hidden Units Workshop at NeurIPS 2019, 2019 | 11 | 2019 |
| Massive unsourced random access based on bilinear vector approximate message passing R Ayachi, M Akrout, V Shyianov, F Bellili, A Mezghani ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 8 | 2022 |
Amine MezghaniThe University of Texas at AustinEmail verificata su utexas.edu