Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with double power-law behavior. - Fadhel Ayed; Juho Lee 001; Francois Caron (ICML, 2019)

Nonnegative Bayesian nonparametric factor models with completely random measures for community detection. - Fadhel Ayed; François Caron (CoRR, 2019)

Anomaly Detection at Scale: The Case for Deep Distributional Time Series Models. - Fadhel Ayed; Lorenzo Stella; Tim Januschowski; Jan Gasthaus (ICSOC Workshops, 2020)

A Bayesian Nonparametric Approach to Differentially Private Data. - Fadhel Ayed; Marco Battiston; Giuseppe Di Benedetto (PSD, 2020)

An information theoretic approach to post randomization methods under differential privacy. - Fadhel Ayed; Marco Battiston; Federico Camerlenghi (Stat. Comput., 2020)

Regularization in ResNet with Stochastic Depth. - Soufiane Hayou; Fadhel Ayed (NeurIPS, 2021)

Consistent estimation of small masses in feature sampling. - Fadhel Ayed; Marco Battiston; Federico Camerlenghi; Stefano Favaro (J. Mach. Learn. Res., 2021)

Nonnegative Bayesian nonparametric factor models with completely random measures. - Fadhel Ayed; François Caron (Stat. Comput., 2021)

An Optimization Framework for Anomaly Detection Scores Refinement with Side Information. - Ali Maatouk; Fadhel Ayed; Wenjie Li 001; Yu Wang; Hong Zhu; Jiantao Ye (GLOBECOM, 2023)

TeleQnA: A Benchmark Dataset to Assess Large Language Models Telecommunications Knowledge. - Ali Maatouk; Fadhel Ayed; Nicola Piovesan; Antonio De Domenico; Mérouane Debbah; Zhi-Quan Luo (CoRR, 2023)

FlexTrain: A Dynamic Training Framework for Heterogeneous Devices Environments. - Mert Unsal; Ali Maatouk; Antonio De Domenico; Nicola Piovesan; Fadhel Ayed (CoRR, 2023)

Deep Neural Networks with Dependent Weights: Gaussian Process Mixture Limit, Heavy Tails, Sparsity and Compressibility. - Hoil Lee; Fadhel Ayed; Paul Jung; Juho Lee 001; Hongseok Yang; Francois Caron (J. Mach. Learn. Res., 2023)

Data pruning and neural scaling laws: fundamental limitations of score-based algorithms. - Fadhel Ayed; Soufiane Hayou (Trans. Mach. Learn. Res., 2023)

Accordion: A Communication-Aware Machine Learning Framework for Next Generation Networks. - Fadhel Ayed; Antonio De Domenico; Adrian García-Rodríguez; David López-Pérez (IEEE Commun. Mag., 2023)

Telco-RAG: Navigating the Challenges of Retrieval Augmented Language Models for Telecommunications. - Andrei-Laurentiu Bornea; Fadhel Ayed; Antonio De Domenico; Nicola Piovesan; Ali Maatouk (GLOBECOM, 2024)

Telecom Language Models: Must They Be Large? - Nicola Piovesan; Antonio De Domenico; Fadhel Ayed (PIMRC, 2024)

Pay Attention to What Matters. - Pedro Luiz Silva; Antonio De Domenico; Ali Maatouk; Fadhel Ayed (CoRR, 2024)

Hermes: A Large Language Model Framework on the Journey to Autonomous Networks. - Fadhel Ayed; Ali Maatouk; Nicola Piovesan; Antonio De Domenico; Mérouane Debbah; Zhi-Quan Luo (CoRR, 2024)

A Framework for the Evaluation of Network Reliability Under Periodic Demand. - Ali Maatouk; Fadhel Ayed; Shi Biao; Wenjie Li 001; Harvey Bao; Enrico Zio (IEEE/ACM Trans. Netw., 2024)

Over-parameterised Shallow Neural Networks with Asymmetrical Node Scaling: Global Convergence Guarantees and Feature Learning. - Francois Caron; Fadhel Ayed; Paul Jung; Hoil Lee; Juho Lee 001; Hongseok Yang (Trans. Mach. Learn. Res., 2025)

Large Language Models for Telecom: Forthcoming Impact on the Industry. - Ali Maatouk; Nicola Piovesan; Fadhel Ayed; Antonio De Domenico; Mérouane Debbah (IEEE Commun. Mag., 2025)

Goal-Oriented Time-Series Forecasting: Foundation Framework Design. - Luca-Andrei Fechete; Mohamed Sana; Fadhel Ayed; Nicola Piovesan; Wenjie Li 001; Antonio De Domenico; Tareq Si Salem (CoRR, 2025)

Telco-oRAG: Optimizing Retrieval-augmented Generation for Telecom Queries via Hybrid Retrieval and Neural Routing. - Andrei-Laurentiu Bornea; Fadhel Ayed; Antonio De Domenico; Nicola Piovesan; Tareq Si Salem; Ali Maatouk (CoRR, 2025)

TeleMath: A Benchmark for Large Language Models in Telecom Mathematical Problem Solving. - Vincenzo Colle; Mohamed Sana; Nicola Piovesan; Antonio De Domenico; Fadhel Ayed; Mérouane Debbah (CoRR, 2025)

Reasoning Language Models for Root Cause Analysis in 5G Wireless Networks. - Mohamed Sana; Nicola Piovesan; Antonio De Domenico; Yibin Kang; Haozhe Zhang; Mérouane Debbah; Fadhel Ayed (CoRR, 2025)