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Fadhel Ayed
Publication Activity (10 Years)
Years Active: 2019-2023
Publications (10 Years): 21
Top Topics
Anomaly Detection
Term Dependencies
Neural Network
Statistical Model
Top Venues
CoRR
Stat. Comput.
PSD
ICSOC Workshops
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Publications
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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)
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)