| Large language models for telecom: Forthcoming impact on the industry A Maatouk, N Piovesan, F Ayed, A De Domenico, M Debbah IEEE Communications Magazine, 2024 | 31 | 2024 |
| TeleQnA: A Benchmark Dataset to Assess Large Language Models Telecommunications Knowledge A Maatouk, F Ayed, N Piovesan, A De Domenico, M Debbah, ZQ Luo arXiv preprint arXiv:2310.15051, 2023 | 23 | 2023 |
| Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with double power-law behavior F Ayed, J Lee, F Caron International Conference on Machine Learning 97, 395-404, 2019 | 16 | 2019 |
| On consistent and rate optimal estimation of the missing mass F Ayed, M Battiston, F Camerlenghi, S Favaro Annales de l'Institut Henri Poincare (B) Probabilites et statistiques 57 (3 …, 2021 | 13* | 2021 |
| Anomaly detection at scale: The case for deep distributional time series models F Ayed, L Stella, T Januschowski, J Gasthaus International Conference on Service-Oriented Computing, 97-109, 2020 | 12 | 2020 |
| Deep Neural Networks with Dependent Weights: Gaussian Process Mixture Limit, Heavy Tails, Sparsity and Compressibility H Lee, F Ayed, P Jung, J Lee, H Yang, F Caron Journal of Machine Learning Research 24 (289), 1-78, 2023 | 11 | 2023 |
| Regularization in ResNet with Stochastic Depth S Hayou, F Ayed Advances in Neural Information Processing Systems 34, 15464-15474, 2021 | 10 | 2021 |
| A Good-Turing estimator for feature allocation models F Ayed, M Battiston, F Camerlenghi, S Favaro Electronic Journal of Statistics 13 (2), 3775-3804, 2019 | 9 | 2019 |
| Nonnegative Bayesian nonparametric factor models with completely random measures F Ayed, F Caron Statistics and Computing 31, 1-24, 2021 | 8* | 2021 |
| Accordion: A Communication-Aware Machine Learning Framework for Next Generation Networks F Ayed, A De Domenico, A Garcia-Rodriguez, D López-Pérez IEEE Communications Magazine 61 (6), 104-110, 2023 | 7 | 2023 |
| Telco-RAG: Navigating the Challenges of Retrieval-Augmented Language Models for Telecommunications AL Bornea, F Ayed, A De Domenico, N Piovesan, A Maatouk arXiv preprint arXiv:2404.15939, 2024 | 6 | 2024 |
| Data pruning and neural scaling laws: fundamental limitations of score-based algorithms F Ayed, S Hayou Transactions on Machine Learning Research 2023 (arXiv preprint arXiv:2302.06960), 2023 | 4 | 2023 |
| Telecom Language Models: Must They Be Large? N Piovesan, A De Domenico, F Ayed arXiv preprint arXiv:2403.04666, 2024 | 3 | 2024 |
| The normal-generalised gamma-Pareto process: a novel pure-jump Lévy process with flexible tail and jump-activity properties F Ayed, J Lee, F Caron Bayesian Analysis 19 (1), 123-152, 2024 | 3 | 2024 |
| Over-parameterised Shallow Neural Networks with Asymmetrical Node Scaling: Global Convergence Guarantees and Feature Learning F Caron, F Ayed, P Jung, H Lee, J Lee, H Yang arXiv preprint arXiv:2302.01002, 2023 | 3 | 2023 |
| Consistent estimation of small masses in feature sampling F Ayed, M Battiston, F Camerlenghi, S Favaro Journal of Machine Learning Research 22 (6), 1-28, 2021 | 3 | 2021 |
| A Framework for the Evaluation of Network Reliability Under Periodic Demand A Maatouk, F Ayed, S Biao, W Li, H Bao, E Zio IEEE/ACM Transactions on Networking, 2024 | 2 | 2024 |
| An information theoretic approach to post randomization methods under differential privacy F Ayed, M Battiston, F Camerlenghi Statistics and Computing 30 (5), 1347-1361, 2020 | 2 | 2020 |
| FlexTrain: A Dynamic Training Framework for Heterogeneous Devices Environments M Unsal, A Maatouk, A De Domenico, N Piovesan, F Ayed arXiv preprint arXiv:2310.20457, 2023 | 1 | 2023 |
| The curse of (non) convexity: The case of an Optimization-Inspired Data Pruning algorithm F Ayed, S Hayou I Can't Believe It's Not Better Workshop: Understanding Deep Learning …, 2022 | 1 | 2022 |
