Fadhel Ayed

According to our database, Fadhel Ayed authored at least 27 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

TeleQnA: A Benchmark Dataset to Assess Large Language Models Telecommunications Knowledge.

Ali Maatouk, Fadhel Ayed, Nicola Piovesan, Antonio De Domenico, Mérouane Debbah, Zhi-Quan Luo

IEEE Netw., March, 2026

TeleTables: A Benchmark for Large Language Models in Telecom Table Interpretation.

Anas Ezzakri, Nicola Piovesan, Mohamed Sana, Antonio De Domenico, Fadhel Ayed, Haozhe Zhang

CoRR, January, 2026

Telco-oRAG: Optimizing Retrieval-Augmented Generation for Telecom Queries via Hybrid Retrieval and Neural Routing.

Andrei-Laurentiu Bornea, Fadhel Ayed, Antonio De Domenico, Nicola Piovesan, Tareq Si Salem, Ali Maatouk

IEEE J. Sel. Areas Commun., 2026

Goal-Oriented Time-Series Forecasting: Foundation Framework Design.

Luca-Andrei Fechete, Mohamed Sana, Fadhel Ayed, Nicola Piovesan, Wenjie Li, Antonio De Domenico, Tareq Si Salem

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

KVCompose: Efficient Structured KV Cache Compression with Composite Tokens.

Dmitry Akulov, Mohamed Sana, Antonio De Domenico, Tareq Si Salem, Nicola Piovesan, Fadhel Ayed

CoRR, September, 2025

Reasoning Language Models for Root Cause Analysis in 5G Wireless Networks.

Mohamed Sana, Nicola Piovesan, Antonio De Domenico, Yibin Kang, Haozhe Zhang, Mérouane Debbah, Fadhel Ayed

CoRR, July, 2025

TeleMath: A Benchmark for Large Language Models in Telecom Mathematical Problem Solving.

Vincenzo Colle, Mohamed Sana, Nicola Piovesan, Antonio De Domenico, Fadhel Ayed, Mérouane Debbah

CoRR, June, 2025

Large Language Models for Telecom: Forthcoming Impact on the Industry.

Ali Maatouk, Nicola Piovesan, Fadhel Ayed, Antonio De Domenico, Mérouane Debbah

IEEE Commun. Mag., January, 2025

Over-parameterised Shallow Neural Networks with Asymmetrical Node Scaling: Global Convergence Guarantees and Feature Learning.

Francois Caron, Fadhel Ayed, Paul Jung, Hoil Lee, Juho Lee, Hongseok Yang

Trans. Mach. Learn. Res., 2025

2024

A Framework for the Evaluation of Network Reliability Under Periodic Demand.

Ali Maatouk, Fadhel Ayed, Shi Biao, Wenjie Li, Harvey Bao, Enrico Zio

IEEE/ACM Trans. Netw., June, 2024

Hermes: A Large Language Model Framework on the Journey to Autonomous Networks.

Fadhel Ayed, Ali Maatouk, Nicola Piovesan, Antonio De Domenico, Mérouane Debbah, Zhi-Quan Luo

CoRR, 2024

Pay Attention to What Matters.

Pedro Luiz Silva, Antonio De Domenico, Ali Maatouk, Fadhel Ayed

CoRR, 2024

Telecom Language Models: Must They Be Large?

Nicola Piovesan, Antonio De Domenico, Fadhel Ayed

Proceedings of the 35th IEEE International Symposium on Personal, 2024

Telco-RAG: Navigating the Challenges of Retrieval Augmented Language Models for Telecommunications.

Andrei-Laurentiu Bornea, Fadhel Ayed, Antonio De Domenico, Nicola Piovesan, Ali Maatouk

Proceedings of the 2024 IEEE Global Communications Conference, 2024

2023

Accordion: A Communication-Aware Machine Learning Framework for Next Generation Networks.

Fadhel Ayed, Antonio De Domenico, Adrian García-Rodríguez, David López-Pérez

IEEE Commun. Mag., June, 2023

Data pruning and neural scaling laws: fundamental limitations of score-based algorithms.

Fadhel Ayed, Soufiane Hayou

Trans. Mach. Learn. Res., 2023

Deep Neural Networks with Dependent Weights: Gaussian Process Mixture Limit, Heavy Tails, Sparsity and Compressibility.

Hoil Lee, Fadhel Ayed, Paul Jung, Juho Lee, Hongseok Yang, Francois Caron

J. Mach. Learn. Res., 2023

FlexTrain: A Dynamic Training Framework for Heterogeneous Devices Environments.

Mert Unsal, Ali Maatouk, Antonio De Domenico, Nicola Piovesan, Fadhel Ayed

CoRR, 2023

An Optimization Framework for Anomaly Detection Scores Refinement with Side Information.

Ali Maatouk, Fadhel Ayed, Wenjie Li, Yu Wang, Hong Zhu, Jiantao Ye

Proceedings of the IEEE Global Communications Conference, 2023

2021

Nonnegative Bayesian nonparametric factor models with completely random measures.

Fadhel Ayed, François Caron

Stat. Comput., 2021

Consistent estimation of small masses in feature sampling.

Fadhel Ayed, Marco Battiston, Federico Camerlenghi, Stefano Favaro

J. Mach. Learn. Res., 2021

Regularization in ResNet with Stochastic Depth.

Soufiane Hayou, Fadhel Ayed

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

An information theoretic approach to post randomization methods under differential privacy.

Fadhel Ayed, Marco Battiston, Federico Camerlenghi

Stat. Comput., 2020

A Bayesian Nonparametric Approach to Differentially Private Data.

Fadhel Ayed, Marco Battiston, Giuseppe Di Benedetto

Proceedings of the Privacy in Statistical Databases, 2020

Anomaly Detection at Scale: The Case for Deep Distributional Time Series Models.

Fadhel Ayed, Lorenzo Stella, Tim Januschowski, Jan Gasthaus

Proceedings of the Service-Oriented Computing - ICSOC 2020 Workshops, 2020

2019

Nonnegative Bayesian nonparametric factor models with completely random measures for community detection.

Fadhel Ayed, François Caron

CoRR, 2019

Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with double power-law behavior.

Fadhel Ayed, Juho Lee, Francois Caron

Proceedings of the 36th International Conference on Machine Learning, 2019