Fadhel Ayed
According to our database1,
Fadhel Ayed
authored at least 17 papers
between 2019 and 2023.
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Bibliography
2023
Accordion: A Communication-Aware Machine Learning Framework for Next Generation Networks.
IEEE Commun. Mag., June, 2023
CoRR, 2023
TeleQnA: A Benchmark Dataset to Assess Large Language Models Telecommunications Knowledge.
CoRR, 2023
Data pruning and neural scaling laws: fundamental limitations of score-based algorithms.
CoRR, 2023
Over-parameterised Shallow Neural Networks with Asymmetrical Node Scaling: Global Convergence Guarantees and Feature Learning.
CoRR, 2023
CoRR, 2023
An Optimization Framework for Anomaly Detection Scores Refinement with Side Information.
Proceedings of the IEEE Global Communications Conference, 2023
2022
Deep neural networks with dependent weights: Gaussian Process mixture limit, heavy tails, sparsity and compressibility.
CoRR, 2022
2021
Stat. Comput., 2021
J. Mach. Learn. Res., 2021
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.
Stat. Comput., 2020
Proceedings of the Privacy in Statistical Databases, 2020
Proceedings of the Service-Oriented Computing - ICSOC 2020 Workshops, 2020
2019
Nonnegative Bayesian nonparametric factor models with completely random measures for community detection.
CoRR, 2019
Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with double power-law behavior.
Proceedings of the 36th International Conference on Machine Learning, 2019