Fadhel Ayed

Fadhel Ayed

University of Oxford

H-index: 6

Europe-United Kingdom

About Fadhel Ayed

Fadhel Ayed, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at University of Oxford, specializes in the field of Statistics, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

The normal-generalised gamma-Pareto process: a novel pure-jump Lévy process with flexible tail and jump-activity properties

A Framework for the Evaluation of Network Reliability Under Periodic Demand

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

FlexTrain: A Dynamic Training Framework for Heterogeneous Devices Environments

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

Large Language Models for Telecom: Forthcoming Impact on the Industry

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

An Optimization Framework For Anomaly Detection Scores Refinement With Side Information

Fadhel Ayed Information

University

Position

Department of Statistics

Citations(all)

83

Citations(since 2020)

83

Cited By

19

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Fadhel Ayed Skills & Research Interests

Statistics

Machine Learning

Top articles of Fadhel Ayed

The normal-generalised gamma-Pareto process: a novel pure-jump Lévy process with flexible tail and jump-activity properties

Bayesian Analysis

2024/3

A Framework for the Evaluation of Network Reliability Under Periodic Demand

IEEE/ACM Transactions on Networking

2024/1/19

Fadhel Ayed
Fadhel Ayed

H-Index: 3

Wenjie Li
Wenjie Li

H-Index: 3

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

Journal of Machine Learning Research

2023

FlexTrain: A Dynamic Training Framework for Heterogeneous Devices Environments

arXiv preprint arXiv:2310.20457

2023/10/31

Fadhel Ayed
Fadhel Ayed

H-Index: 3

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

arXiv preprint arXiv:2310.15051

2023/10/23

Fadhel Ayed
Fadhel Ayed

H-Index: 3

Large Language Models for Telecom: Forthcoming Impact on the Industry

arXiv preprint arXiv:2308.06013

2023/8/11

Fadhel Ayed
Fadhel Ayed

H-Index: 3

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

IEEE Communications Magazine

2023/6/19

Fadhel Ayed
Fadhel Ayed

H-Index: 3

An Optimization Framework For Anomaly Detection Scores Refinement With Side Information

arXiv preprint arXiv:2304.11039

2023/4/21

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

Transactions on Machine Learning Research 2023. (arXiv preprint arXiv:2302.06960)

2023/2/14

Fadhel Ayed
Fadhel Ayed

H-Index: 3

Soufiane Hayou
Soufiane Hayou

H-Index: 5

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

arXiv preprint arXiv:2302.01002

2023/2/2

The curse of (non) convexity: The case of an Optimization-Inspired Data Pruning algorithm

NeurIPS ICBINB Workshop 2022

2022

Fadhel Ayed
Fadhel Ayed

H-Index: 3

Soufiane Hayou
Soufiane Hayou

H-Index: 5

A Mathematical Framework for the Evaluation of System Expected Utility Not Satis-fied Under Periodic Demand

the 32nd European Safety and Reliability Conference (ESREL 2022).[Online]. Available: https://www. rpsonline. com. sg/proceedings/esrel2022/pdf/S28-04-660. pdf

2022

Regularization in ResNet with Stochastic Depth

Advances in Neural Information Processing Systems

2021/12/6

Soufiane Hayou
Soufiane Hayou

H-Index: 5

Fadhel Ayed
Fadhel Ayed

H-Index: 3

Nonnegative Bayesian nonparametric factor models with completely random measures

Statistics and Computing

2021/9

Fadhel Ayed
Fadhel Ayed

H-Index: 3

François Caron
François Caron

H-Index: 5

Consistent estimation of small masses in feature sampling

Journal of Machine Learning Research

2021

Anomaly detection at scale: The case for deep distributional time series models

2020/12/14

Fadhel Ayed
Fadhel Ayed

H-Index: 3

Lorenzo Stella
Lorenzo Stella

H-Index: 30

An information theoretic approach to post randomization methods under differential privacy

Statistics and Computing

2020/9

Fadhel Ayed
Fadhel Ayed

H-Index: 3

Marco Battiston
Marco Battiston

H-Index: 4

On consistent and rate optimal estimation of the missing mass

Annales de l'Institut Henri Poincare (B) Probabilites et statistiques

2021/7/22

A Bayesian Nonparametric Approach to Differentially Private Data

2020

See List of Professors in Fadhel Ayed University(University of Oxford)