| Lossleap: Learning to predict for intent-based networking A Collet, A Banchs, M Fiore IEEE INFOCOM 2022-IEEE Conference on Computer Communications, 2138-2147, 2022 | 16 | 2022 |
| Spotting deep neural network vulnerabilities in mobile traffic forecasting with an explainable AI lens S Moghadas, C Fiandrino, A Collet, G Attanasio, M Fiore, J Widmer IEEE INFOCOM 2023-IEEE Conference on Computer Communications, 1-10, 2023 | 7 | 2023 |
| AutoManager: A Meta-learning model for network management from intertwined forecasts A Collet, A Bazco-Nogueras, A Banchs, M Fiore IEEE INFOCOM 2023-IEEE Conference on Computer Communications, 1-10, 2023 | 5 | 2023 |
| Explainable and transferable loss meta-learning for zero-touch anticipatory network management A Collet, A Bazco-Nogueras, A Banchs, M Fiore IEEE Transactions on Network and Service Management, 2024 | 3 | 2024 |
| Loss meta-learning for forecasting A Collet, A Bazco-Nogueras, A Banchs, M Fiore | 3 | 2022 |
| Learning to Learn How to Manage Network Resources with Loss Function Meta-Learning A Collet, A Bazco-Nogueras, A Banchs, M Fiore IEEE Communications Magazine, 2024 | | 2024 |
| Metric meta-learning in deep learning models for intent-based networking A Collet IMDEA Networks, 2024 | | 2024 |
| Spotting Deep Neural Network Vulnerabilities in Mobile Traffic Forecasting with an Explainable AI Lens S Moghadas Gholian, C Fiandrino, A Collet, G Attanasio, M Fiore, ... IEEE International Conference on Computer Communications, 2023 | | 2023 |
| Loss2Net: Loss Meta-Learning for Regression with A-priori Unknown Metrics A COLLET, A Bazco-Nogueras, M Fiore | | |
