| 2026 | AAAI | Goal-Oriented Time-Series Forecasting: Foundation Framework Design. | Luca-Andrei Fechete, Mohamed Sana, Fadhel Ayed, Nicola Piovesan, Wenjie Li, Antonio De Domenico, Tareq Si Salem |
| 2024 | GLOBECOM | Telco-RAG: Navigating the Challenges of Retrieval Augmented Language Models for Telecommunications. | Andrei-Laurentiu Bornea, Fadhel Ayed, Antonio De Domenico, Nicola Piovesan, Ali Maatouk |
| 2024 | PIMRC | Telecom Language Models: Must They Be Large? | Nicola Piovesan, Antonio De Domenico, Fadhel Ayed |
| 2023 | GLOBECOM | An Optimization Framework for Anomaly Detection Scores Refinement with Side Information. | Ali Maatouk, Fadhel Ayed, Wenjie Li, Yu Wang, Hong Zhu, Jiantao Ye |
| 2020 | ICSOC | Anomaly Detection at Scale: The Case for Deep Distributional Time Series Models. | Fadhel Ayed, Lorenzo Stella, Tim Januschowski, Jan Gasthaus |
| 2020 | PSD | A Bayesian Nonparametric Approach to Differentially Private Data. | Fadhel Ayed, Marco Battiston, Giuseppe Di Benedetto |
| 2019 | ICML | Beyond the Chinese Restaurant and Pitman-Yor processes: Statistical Models with double power-law behavior. | Fadhel Ayed, Juho Lee, Francois Caron |