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Mohamed Akrout
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2020 – today
- 2024
- [j8]Mohamed Akrout, Amine Mezghani, Ekram Hossain, Faouzi Bellili, Robert W. Heath Jr.:
From Multilayer Perceptron to GPT: A Reflection on Deep Learning Research for Wireless Physical Layer. IEEE Commun. Mag. 62(7): 34-41 (2024) - [c13]Mohamed Akrout, Tiancheng Gao, Faouzi Bellili, Amine Mezghani:
Vector Approximate message Passing with Arbitrary I.I.D. Noise Priors. ICASSP 2024: 9596-9600 - [c12]Mukilan Karuppasamy, Mohamed Akrout, Faouzi Bellili, Amine Mezghani:
Distributed Vector Approximate Message Passing. ICASSP 2024: 9611-9615 - [i28]Mohamed Akrout, Tiancheng Gao, Faouzi Bellili, Amine Mezghani:
Vector Approximate Message Passing With Arbitrary I.I.D. Noise Priors. CoRR abs/2402.04111 (2024) - [i27]Mohamed Akrout, Faouzi Bellili, Amine Mezghani, Robert W. Heath Jr.:
Next-slot OFDM-CSI Prediction: Multi-head Self-attention or State Space Model? CoRR abs/2405.11072 (2024) - [i26]Mohamed Akrout, Amine Mezghani, Faouzi Bellili:
Unlabeled Compressed Sensing from Multiple Measurement Vectors. CoRR abs/2406.08290 (2024) - 2023
- [j7]Mohamed Akrout
, Amal Feriani, Faouzi Bellili
, Amine Mezghani
, Ekram Hossain
:
Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open Issues. IEEE Commun. Surv. Tutorials 25(4): 3014-3037 (2023) - [j6]Mohamed Akrout
, Volodymyr Shyianov
, Faouzi Bellili
, Amine Mezghani
, Robert W. Heath Jr.
:
Super-Wideband Massive MIMO. IEEE J. Sel. Areas Commun. 41(8): 2414-2430 (2023) - [j5]Mohamed Akrout
, Volodymyr Shyianov
, Faouzi Bellili
, Amine Mezghani
, Robert W. Heath Jr.
:
Achievable Rate of Near-Field Communications Based on Physically Consistent Models. IEEE Trans. Wirel. Commun. 22(2): 1266-1280 (2023) - [c11]Mohamed Akrout, Faouzi Bellili, Amine Mezghani, Josef A. Nossek:
Physically Consistent Models for Intelligent Reflective Surface-Assisted Communications Under Mutual Coupling and Element Size Constraint. ACSSC 2023: 1589-1594 - [c10]Mohamed Akrout, Amal Feriani, Faouzi Bellili, Amine Mezghani, Ekram Hossain:
Continual Learning-Based MIMO Channel Estimation: A Benchmarking Study. ICC 2023: 2631-2636 - [c9]Mohamed Akrout, Volodymyr Shyianov, Faouzi Bellili, Amine Mezghani, Robert W. Heath Jr.:
Bandwidth Gain: The Missing Gain of Massive MIMO. ICC 2023: 5997-6003 - [c8]Mohamed Akrout, Bálint Gyepesi, Péter Holló, Adrienn Poór, Blága Kincso, Stephen Solis, Katrina Cirone, Jeremy Kawahara, Dekker Slade, Latif Abid, Máté Kovács, István Fazekas:
Diffusion-Based Data Augmentation for Skin Disease Classification: Impact Across Original Medical Datasets to Fully Synthetic Images. DGM4MICCAI 2023: 99-109 - [i25]Mohamed Akrout, Bálint Gyepesi, Péter Holló, Adrienn Poór, Blága Kincso, Stephen Solis, Katrina Cirone, Jeremy Kawahara, Dekker Slade, Latif Abid, Máté Kovács, István Fazekas:
Diffusion-based Data Augmentation for Skin Disease Classification: Impact Across Original Medical Datasets to Fully Synthetic Images. CoRR abs/2301.04802 (2023) - [i24]Mohamed Akrout, Faouzi Bellili, Amine Mezghani, Josef A. Nossek:
Physically Consistent Models for Intelligent Reflective Surface-assisted Communications under Mutual Coupling and Element Size Constraint. CoRR abs/2302.11130 (2023) - [i23]Mohamed Akrout, Amal Feriani, Faouzi Bellili, Amine Mezghani, Ekram Hossain:
Domain Generalization in Machine Learning Models for Wireless Communications: Concepts, State-of-the-Art, and Open Issues. CoRR abs/2303.08106 (2023) - [i22]Mohamed Akrout, Amine Mezghani, Ekram Hossain, Faouzi Bellili, Robert W. Heath Jr.:
From Multilayer Perceptron to GPT: A Reflection on Deep Learning Research for Wireless Physical Layer. CoRR abs/2307.07359 (2023) - [i21]Mohamed Akrout:
Representations Matter: Embedding Modes of Large Language Models using Dynamic Mode Decomposition. CoRR abs/2309.01245 (2023) - 2022
- [j4]Firas Fredj
, Yasser F. Al-Eryani
, Setareh Maghsudi, Mohamed Akrout
, Ekram Hossain
:
Distributed Beamforming Techniques for Cell-Free Wireless Networks Using Deep Reinforcement Learning. IEEE Trans. Cogn. Commun. Netw. 8(2): 1186-1201 (2022) - [j3]Volodymyr Shyianov
, Mohamed Akrout
, Faouzi Bellili
, Amine Mezghani
, Robert W. Heath Jr.
:
Achievable Rate With Antenna Size Constraint: Shannon Meets Chu and Bode. IEEE Trans. Commun. 70(3): 2010-2024 (2022) - [c7]Mohamed Akrout, Anis Housseini, Faouzi Bellili, Amine Mezghani:
BiG-VAMP: The Bilinear Generalized Vector Approximate Message Algorithm. IEEECONF 2022: 1377-1384 - [c6]Ramzi Ayachi, Mohamed Akrout, Volodymyr Shyianov, Faouzi Bellili, Amine Mezghani:
Massive Unsourced Random Access Based on Bilinear Vector Approximate Message Passing. ICASSP 2022: 5283-5287 - [c5]Mohamed Akrout, Volodymyr Shyianov, Faouzi Bellili, Amine Mezghani, Robert W. Heath Jr.
:
Achievable Rate of Near-Field Communications Based on Physically Consistent Models. ICC 2022: 938-943 - [c4]Mohamed Akrout, Hayet Amdouni, Amal Feriani, Monia Kourda, Latif Abid:
A 35-Year Longitudinal Analysis of Dermatology Patient Behavior Across Economic and Cultural Manifestations in Tunisia, and the Impact of Digital Tools. EPIMI/ML-CDS@MICCAI 2022: 38-50 - [i20]Mohamed Akrout, Amal Feriani, Bob McLeod:
Dynamic Noises of Multi-Agent Environments Can Improve Generalization: Agent-based Models meets Reinforcement Learning. CoRR abs/2204.14076 (2022) - [i19]Mohamed Akrout, Volodymyr Shyianov, Faouzi Bellili, Amine Mezghani, Robert W. Heath Jr.:
Super-Wideband Massive MIMO. CoRR abs/2208.01556 (2022) - [i18]Mohamed Akrout, Hayet Amdouni, Amal Feriani, Monia Kourda, Latif Abid:
A 35-Year Longitudinal Analysis of Dermatology Patient Behavior across Economic & Cultural Manifestations in Tunisia, and the Impact of Digital Tools. CoRR abs/2208.02852 (2022) - [i17]Mohamed Akrout, Amal Feriani, Faouzi Bellili, Amine Mezghani, Ekram Hossain:
Continual Learning-Based MIMO Channel Estimation: A Benchmarking Study. CoRR abs/2211.10753 (2022) - 2021
- [j2]Yasser F. Al-Eryani
, Mohamed Akrout
, Ekram Hossain
:
Multiple Access in Cell-Free Networks: Outage Performance, Dynamic Clustering, and Deep Reinforcement Learning-Based Design. IEEE J. Sel. Areas Commun. 39(4): 1028-1042 (2021) - [j1]Yasser F. Al-Eryani
, Mohamed Akrout
, Ekram Hossain
:
Antenna Clustering for Simultaneous Wireless Information and Power Transfer in a MIMO Full-Duplex System: A Deep Reinforcement Learning-Based Design. IEEE Trans. Commun. 69(4): 2331-2345 (2021) - [i16]Albert Jiménez Sanfiz, Mohamed Akrout:
Benchmarking the Accuracy and Robustness of Feedback Alignment Algorithms. CoRR abs/2108.13446 (2021) - [i15]Mohamed Akrout, Faouzi Bellili, Amine Mezghani, Hayet Amdouni:
Optimizing Binary Symptom Checkers via Approximate Message Passing. CoRR abs/2111.00303 (2021) - [i14]Mohamed Akrout, Douglas B. Tweed:
On Bock's Conjecture Regarding the Adam Optimizer. CoRR abs/2111.08162 (2021) - [i13]Mohamed Akrout, Volodymyr Shyianov, Faouzi Bellili, Amine Mezghani, Robert W. Heath Jr.:
Achievable Rate of Near-Field Communications Based on Physically Consistent Models. CoRR abs/2111.08928 (2021) - 2020
- [i12]Mohamed Akrout, Robert Steinbauer:
Machine Ethics: The Creation of a Virtuous Machine. CoRR abs/2002.00213 (2020) - [i11]Yasser F. Al-Eryani, Mohamed Akrout, Ekram Hossain:
Multiple Access in Dynamic Cell-Free Networks: Outage Performance and Deep Reinforcement Learning-Based Design. CoRR abs/2002.02801 (2020) - [i10]Yasser F. Al-Eryani, Mohamed Akrout, Ekram Hossain:
Simultaneous Energy Harvesting and Information Transmission in a MIMO Full-Duplex System: A Machine Learning-Based Design. CoRR abs/2002.06193 (2020) - [i9]Firas Fredj, Yasser F. Al-Eryani, Setareh Maghsudi, Mohamed Akrout, Ekram Hossain:
Distributed Uplink Beamforming in Cell-Free Networks Using Deep Reinforcement Learning. CoRR abs/2006.15138 (2020) - [i8]Mohamed Akrout, Anis Housseini, Faouzi Bellili, Amine Mezghani:
Bilinear Generalized Vector Approximate Message Passing. CoRR abs/2009.06854 (2020) - [i7]Volodymyr Shyianov, Mohamed Akrout, Faouzi Bellili, Amine Mezghani, Robert W. Heath Jr.:
Achievable Rate with Antenna Size Constraint: Shannon meets Chu and Bode. CoRR abs/2011.05529 (2020)
2010 – 2019
- 2019
- [c3]Mohamed Akrout, Amir-massoud Farahmand, Tory Jarmain, Latif Abid:
Improving Skin Condition Classification with a Visual Symptom Checker Trained Using Reinforcement Learning. MICCAI (4) 2019: 549-557 - [c2]Mohamed Akrout, Collin Wilson, Peter Conway Humphreys, Timothy P. Lillicrap, Douglas B. Tweed:
Deep Learning without Weight Transport. NeurIPS 2019: 974-982 - [i6]Ismail Akrout, Amal Feriani, Mohamed Akrout:
Hacking Google reCAPTCHA v3 using Reinforcement Learning. CoRR abs/1903.01003 (2019) - [i5]Mohamed Akrout, Amir-massoud Farahmand, Tory Jarmain, Latif Abid:
Improving Skin Condition Classification with a Visual Symptom Checker Trained using Reinforcement Learning. CoRR abs/1903.03495 (2019) - [i4]Mohamed Akrout, Collin Wilson, Peter Conway Humphreys, Timothy P. Lillicrap, Douglas B. Tweed:
Deep Learning without Weight Transport. CoRR abs/1904.05391 (2019) - [i3]Mohamed Akrout:
On the Adversarial Robustness of Neural Networks without Weight Transport. CoRR abs/1908.03560 (2019) - 2018
- [c1]Hongyu Zhu, Mohamed Akrout, Bojian Zheng, Andrew Pelegris, Anand Jayarajan, Amar Phanishayee, Bianca Schroeder, Gennady Pekhimenko:
Benchmarking and Analyzing Deep Neural Network Training. IISWC 2018: 88-100 - [i2]Hongyu Zhu, Mohamed Akrout, Bojian Zheng, Andrew Pelegris, Amar Phanishayee, Bianca Schroeder, Gennady Pekhimenko:
TBD: Benchmarking and Analyzing Deep Neural Network Training. CoRR abs/1803.06905 (2018) - [i1]Mohamed Akrout, Amir-massoud Farahmand, Tory Jarmain:
Improving Skin Condition Classification with a Question Answering Model. CoRR abs/1811.06165 (2018)
Coauthor Index
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last updated on 2024-08-07 22:30 CEST by the dblp team
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