Fadhel Ayed - RankMe

42 papers A* 3B 3C 1Journal 34Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Goal-Oriented Time-Series Forecasting: Foundation Framework Design. AAAI Luca-Andrei Fechete, Mohamed Sana, Fadhel Ayed, Nicola Piovesan, Wenjie Li, Antonio De Domenico, Tareq Si Salem
2026	J	`jnl`	Telco-oRAG: Optimizing Retrieval-Augmented Generation for Telecom Queries via Hybrid Retrieval and Neural Routing. IEEE J. Sel. Areas Commun. Andrei-Laurentiu Bornea, Fadhel Ayed, Antonio De Domenico, Nicola Piovesan, Tareq Si Salem, Ali Maatouk
2026	J	`jnl`	TeleQnA: A Benchmark Dataset to Assess Large Language Models Telecommunications Knowledge. IEEE Netw. Ali Maatouk, Fadhel Ayed, Nicola Piovesan, Antonio De Domenico, Mérouane Debbah, Zhi-Quan Luo
2026	J	`jnl`	TeleTables: A Benchmark for Large Language Models in Telecom Table Interpretation. CoRR Anas Ezzakri, Nicola Piovesan, Mohamed Sana, Antonio De Domenico, Fadhel Ayed, Haozhe Zhang
2025	J	`jnl`	Goal-Oriented Time-Series Forecasting: Foundation Framework Design. CoRR Luca-Andrei Fechete, Mohamed Sana, Fadhel Ayed, Nicola Piovesan, Wenjie Li, Antonio De Domenico, Tareq Si Salem
2025	J	`jnl`	KVCompose: Efficient Structured KV Cache Compression with Composite Tokens. CoRR Dmitry Akulov, Mohamed Sana, Antonio De Domenico, Tareq Si Salem, Nicola Piovesan, Fadhel Ayed
2025	J	`jnl`	Large Language Models for Telecom: Forthcoming Impact on the Industry. IEEE Commun. Mag. Ali Maatouk, Nicola Piovesan, Fadhel Ayed, Antonio De Domenico, Mérouane Debbah
2025	J	`jnl`	Over-parameterised Shallow Neural Networks with Asymmetrical Node Scaling: Global Convergence Guarantees and Feature Learning. Trans. Mach. Learn. Res. Francois Caron, Fadhel Ayed, Paul Jung, Hoil Lee, Juho Lee, Hongseok Yang
2025	J	`jnl`	Reasoning Language Models for Root Cause Analysis in 5G Wireless Networks. CoRR Mohamed Sana, Nicola Piovesan, Antonio De Domenico, Yibin Kang, Haozhe Zhang, Mérouane Debbah, Fadhel Ayed
2025	J	`jnl`	Telco-oRAG: Optimizing Retrieval-augmented Generation for Telecom Queries via Hybrid Retrieval and Neural Routing. CoRR Andrei-Laurentiu Bornea, Fadhel Ayed, Antonio De Domenico, Nicola Piovesan, Tareq Si Salem, Ali Maatouk
2025	J	`jnl`	TeleMath: A Benchmark for Large Language Models in Telecom Mathematical Problem Solving. CoRR Vincenzo Colle, Mohamed Sana, Nicola Piovesan, Antonio De Domenico, Fadhel Ayed, Mérouane Debbah
2024	J	`jnl`	A Framework for the Evaluation of Network Reliability Under Periodic Demand. IEEE/ACM Trans. Netw. Ali Maatouk, Fadhel Ayed, Shi Biao, Wenjie Li, Harvey Bao, Enrico Zio
2024	J	`jnl`	Hermes: A Large Language Model Framework on the Journey to Autonomous Networks. CoRR Fadhel Ayed, Ali Maatouk, Nicola Piovesan, Antonio De Domenico, Mérouane Debbah, Zhi-Quan Luo
2024	J	`jnl`	Pay Attention to What Matters. CoRR Pedro Luiz Silva, Antonio De Domenico, Ali Maatouk, Fadhel Ayed
2024	B	`conf`	Telco-RAG: Navigating the Challenges of Retrieval Augmented Language Models for Telecommunications. GLOBECOM Andrei-Laurentiu Bornea, Fadhel Ayed, Antonio De Domenico, Nicola Piovesan, Ali Maatouk
2024	J	`jnl`	Telco-RAG: Navigating the Challenges of Retrieval-Augmented Language Models for Telecommunications. CoRR Andrei-Laurentiu Bornea, Fadhel Ayed, Antonio De Domenico, Nicola Piovesan, Ali Maatouk
2024	B	`conf`	Telecom Language Models: Must They Be Large? PIMRC Nicola Piovesan, Antonio De Domenico, Fadhel Ayed
2024	J	`jnl`	Telecom Language Models: Must They Be Large? CoRR Nicola Piovesan, Antonio De Domenico, Fadhel Ayed
2023	J	`jnl`	A Framework for the Evaluation of Network Reliability Under Periodic Demand. CoRR Ali Maatouk, Fadhel Ayed, Shi Biao, Wenjie Li, Harvey Bao, Enrico Zio
2023	J	`jnl`	Accordion: A Communication-Aware Machine Learning Framework for Next Generation Networks. IEEE Commun. Mag. Fadhel Ayed, Antonio De Domenico, Adrian García-Rodríguez, David López-Pérez
2023	J	`jnl`	Accordion: A Communication-Aware Machine Learning Framework for Next Generation Networks. CoRR Fadhel Ayed, Antonio De Domenico, Adrian García-Rodríguez, David López-Pérez
2023	J	`jnl`	An Optimization Framework For Anomaly Detection Scores Refinement With Side Information. CoRR Ali Maatouk, Fadhel Ayed, Wenjie Li, Yu Wang, Hong Zhu, Jiantao Ye
2023	B	`conf`	An Optimization Framework for Anomaly Detection Scores Refinement with Side Information. GLOBECOM Ali Maatouk, Fadhel Ayed, Wenjie Li, Yu Wang, Hong Zhu, Jiantao Ye
2023	J	`jnl`	Data pruning and neural scaling laws: fundamental limitations of score-based algorithms. CoRR Fadhel Ayed, Soufiane Hayou
2023	J	`jnl`	Data pruning and neural scaling laws: fundamental limitations of score-based algorithms. Trans. Mach. Learn. Res. Fadhel Ayed, Soufiane Hayou
2023	J	`jnl`	Deep Neural Networks with Dependent Weights: Gaussian Process Mixture Limit, Heavy Tails, Sparsity and Compressibility. J. Mach. Learn. Res. Hoil Lee, Fadhel Ayed, Paul Jung, Juho Lee, Hongseok Yang, Francois Caron
2023	J	`jnl`	FlexTrain: A Dynamic Training Framework for Heterogeneous Devices Environments. CoRR Mert Unsal, Ali Maatouk, Antonio De Domenico, Nicola Piovesan, Fadhel Ayed
2023	J	`jnl`	Large Language Models for Telecom: Forthcoming Impact on the Industry. CoRR Ali Maatouk, Nicola Piovesan, Fadhel Ayed, Antonio De Domenico, Mérouane Debbah
2023	J	`jnl`	Over-parameterised Shallow Neural Networks with Asymmetrical Node Scaling: Global Convergence Guarantees and Feature Learning. CoRR Francois Caron, Fadhel Ayed, Paul Jung, Hoil Lee, Juho Lee, Hongseok Yang
2023	J	`jnl`	TeleQnA: A Benchmark Dataset to Assess Large Language Models Telecommunications Knowledge. CoRR Ali Maatouk, Fadhel Ayed, Nicola Piovesan, Antonio De Domenico, Mérouane Debbah, Zhi-Quan Luo
2022	J	`jnl`	Deep neural networks with dependent weights: Gaussian Process mixture limit, heavy tails, sparsity and compressibility. CoRR Hoil Lee, Fadhel Ayed, Paul Jung, Juho Lee, Hongseok Yang, François Caron
2021	J	`jnl`	Consistent estimation of small masses in feature sampling. J. Mach. Learn. Res. Fadhel Ayed, Marco Battiston, Federico Camerlenghi, Stefano Favaro
2021	J	`jnl`	Nonnegative Bayesian nonparametric factor models with completely random measures. Stat. Comput. Fadhel Ayed, François Caron
2021	A*	`conf`	Regularization in ResNet with Stochastic Depth. NeurIPS Soufiane Hayou, Fadhel Ayed
2021	J	`jnl`	Regularization in ResNet with Stochastic Depth. CoRR Soufiane Hayou, Fadhel Ayed
2020	C	`conf`	A Bayesian Nonparametric Approach to Differentially Private Data. PSD Fadhel Ayed, Marco Battiston, Giuseppe Di Benedetto
2020	J	`jnl`	An information theoretic approach to post randomization methods under differential privacy. Stat. Comput. Fadhel Ayed, Marco Battiston, Federico Camerlenghi
2020	—	`conf`	Anomaly Detection at Scale: The Case for Deep Distributional Time Series Models. ICSOC Workshops Fadhel Ayed, Lorenzo Stella, Tim Januschowski, Jan Gasthaus
2020	J	`jnl`	Anomaly Detection at Scale: The Case for Deep Distributional Time Series Models. CoRR Fadhel Ayed, Lorenzo Stella, Tim Januschowski, Jan Gasthaus
2019	J	`jnl`	Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with Double Power-law Behavior. CoRR Fadhel Ayed, Juho Lee, François Caron
2019	A*	`conf`	Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with double power-law behavior. ICML Fadhel Ayed, Juho Lee, Francois Caron
2019	J	`jnl`	Nonnegative Bayesian nonparametric factor models with completely random measures for community detection. CoRR Fadhel Ayed, François Caron