Fadhel Ayed

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 26

Top Topics

Anomaly Detection

Statistical Models

Top Venues

ICSOC Workshops

Publications

Andrei-Laurentiu Bornea, Fadhel Ayed, Antonio De Domenico, Nicola Piovesan, Ali Maatouk
Telco-RAG: Navigating the Challenges of Retrieval-Augmented Language Models for Telecommunications. CoRR (2024)
Ali Maatouk, Fadhel Ayed, Shi Biao, Wenjie Li, Harvey Bao, Enrico Zio
A Framework for the Evaluation of Network Reliability Under Periodic Demand. IEEE/ACM Trans. Netw. 32 (3) (2024)
Nicola Piovesan, Antonio De Domenico, Fadhel Ayed
Telecom Language Models: Must They Be Large? CoRR (2024)
Fadhel Ayed, Antonio De Domenico, Adrian García-Rodríguez, David López-Pérez
Accordion: A Communication-Aware Machine Learning Framework for Next Generation Networks. IEEE Commun. Mag. 61 (6) (2023)
Ali Maatouk, Nicola Piovesan, Fadhel Ayed, Antonio De Domenico, Mérouane Debbah
Large Language Models for Telecom: Forthcoming Impact on the Industry. CoRR (2023)
Ali Maatouk, Fadhel Ayed, Shi Biao, Wenjie Li, Harvey Bao, Enrico Zio
A Framework for the Evaluation of Network Reliability Under Periodic Demand. CoRR (2023)
Ali Maatouk, Fadhel Ayed, Wenjie Li, Yu Wang, Hong Zhu, Jiantao Ye
An Optimization Framework For Anomaly Detection Scores Refinement With Side Information. CoRR (2023)
Fadhel Ayed, Soufiane Hayou
Data pruning and neural scaling laws: fundamental limitations of score-based algorithms. CoRR (2023)
Mert Unsal, Ali Maatouk, Antonio De Domenico, Nicola Piovesan, Fadhel Ayed
FlexTrain: A Dynamic Training Framework for Heterogeneous Devices Environments. CoRR (2023)
Ali Maatouk, Fadhel Ayed, Nicola Piovesan, Antonio De Domenico, Mérouane Debbah, Zhi-Quan Luo
TeleQnA: A Benchmark Dataset to Assess Large Language Models Telecommunications Knowledge. CoRR (2023)
Ali Maatouk, Fadhel Ayed, Wenjie Li, Yu Wang, Hong Zhu, Jiantao Ye
An Optimization Framework for Anomaly Detection Scores Refinement with Side Information. GLOBECOM (2023)
Fadhel Ayed, Soufiane Hayou
Data pruning and neural scaling laws: fundamental limitations of score-based algorithms. Trans. Mach. Learn. Res. 2023 (2023)
Fadhel Ayed, Antonio De Domenico, Adrian García-Rodríguez, David López-Pérez
Accordion: A Communication-Aware Machine Learning Framework for Next Generation Networks. CoRR (2023)
Francois Caron, Fadhel Ayed, Paul Jung, Hoil Lee, Juho Lee, Hongseok Yang
Over-parameterised Shallow Neural Networks with Asymmetrical Node Scaling: Global Convergence Guarantees and Feature Learning. CoRR (2023)
Hoil Lee, Fadhel Ayed, Paul Jung, Juho Lee, Hongseok Yang, François Caron
Deep neural networks with dependent weights: Gaussian Process mixture limit, heavy tails, sparsity and compressibility. CoRR (2022)
Fadhel Ayed, François Caron
Nonnegative Bayesian nonparametric factor models with completely random measures. Stat. Comput. 31 (5) (2021)
Soufiane Hayou, Fadhel Ayed
Regularization in ResNet with Stochastic Depth. CoRR (2021)
Fadhel Ayed, Marco Battiston, Federico Camerlenghi, Stefano Favaro
Consistent estimation of small masses in feature sampling. J. Mach. Learn. Res. 22 (2021)
Soufiane Hayou, Fadhel Ayed
Regularization in ResNet with Stochastic Depth. NeurIPS (2021)
Fadhel Ayed, Marco Battiston, Federico Camerlenghi
An information theoretic approach to post randomization methods under differential privacy. Stat. Comput. 30 (5) (2020)
Fadhel Ayed, Marco Battiston, Giuseppe Di Benedetto
A Bayesian Nonparametric Approach to Differentially Private Data. PSD (2020)
Fadhel Ayed, Lorenzo Stella, Tim Januschowski, Jan Gasthaus
Anomaly Detection at Scale: The Case for Deep Distributional Time Series Models. CoRR (2020)
Fadhel Ayed, Lorenzo Stella, Tim Januschowski, Jan Gasthaus
Anomaly Detection at Scale: The Case for Deep Distributional Time Series Models. ICSOC Workshops (2020)
Fadhel Ayed, François Caron
Nonnegative Bayesian nonparametric factor models with completely random measures for community detection. CoRR (2019)
Fadhel Ayed, Juho Lee, François Caron
Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with Double Power-law Behavior. CoRR (2019)
Fadhel Ayed, Juho Lee, Francois Caron
Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with double power-law behavior. ICML (2019)