| LIDAR and position-aided mmWave beam selection with non-local CNNs and curriculum training M Zecchin, MB Mashhadi, M Jankowski, D Gündüz, M Kountouris, ... IEEE Transactions on Vehicular Technology 71 (3), 2979-2990, 2022 | 48 | 2022 |
| Robust Bayesian learning for reliable wireless AI: Framework and applications M Zecchin, S Park, O Simeone, M Kountouris, D Gesbert IEEE Transactions on Cognitive Communications and Networking 9 (4), 897-912, 2023 | 19 | 2023 |
| Asynchronous decentralized learning over unreliable wireless networks E Jeong, M Zecchin, M Kountouris ICC 2022-IEEE International Conference on Communications, 607-612, 2022 | 15 | 2022 |
| Robust PAC: Training Ensemble Models Under Misspecification and Outliers M Zecchin, S Park, O Simeone, M Kountouris, D Gesbert IEEE Transactions on Neural Networks and Learning Systems, 2023 | 13 | 2023 |
| User-centric federated learning M Mestoukirdi, M Zecchin, D Gesbert, Q Li, N Gresset 2021 IEEE Globecom Workshops (GC Wkshps), 1-6, 2021 | 10 | 2021 |
| Forking uncertainties: Reliable prediction and model predictive control with sequence models via conformal risk control M Zecchin, S Park, O Simeone IEEE Journal on Selected Areas in Information Theory, 2024 | 9 | 2024 |
| Communication-Efficient Distributionally Robust Decentralized Learning M Zecchin, M Kountouris, D Gesbert Transactions on Machine Learning Research (TMLR), 2022 | 8 | 2022 |
| Federated inference with reliable uncertainty quantification over wireless channels via conformal prediction M Zhu, M Zecchin, S Park, C Guo, C Feng, O Simeone IEEE Transactions on Signal Processing, 2024 | 6 | 2024 |
| User-centric federated learning: Trading off wireless resources for personalization M Mestoukirdi, M Zecchin, D Gesbert, Q Li IEEE Transactions on Machine Learning in Communications and Networking, 2023 | 6 | 2023 |
| When is Importance Weighting Correction Needed for Covariate Shift Adaptation? D Gogolashvili, M Zecchin, M Kanagawa, M Kountouris, M Filippone arXiv preprint arXiv:2303.04020, 2023 | 6 | 2023 |
| In-context learning for MIMO equalization using transformer-based sequence models M Zecchin, K Yu, O Simeone 2024 IEEE International Conference on Communications Workshops (ICC …, 2024 | 5 | 2024 |
| Generalization and informativeness of conformal prediction M Zecchin, S Park, O Simeone, F Hellström arXiv preprint arXiv:2401.11810, 2024 | 5 | 2024 |
| Team deep mixture of experts for distributed power control M Zecchin, D Gesbert, M Kountouris 2020 IEEE 21st International Workshop on Signal Processing Advances in …, 2020 | 4 | 2020 |
| Coding bounds in the finite-black-length regime: An application to spread-spectrum systems design T Erseghe, N Laurenti, M Zecchin 2019 AEIT International Annual Conference (AEIT), 1-6, 2019 | 3 | 2019 |
| Cell-Free Multi-User MIMO Equalization via In-Context Learning M Zecchin, K Yu, O Simeone 2024 IEEE 25th International Workshop on Signal Processing Advances in …, 2024 | 2 | 2024 |
| Uav-aided decentralized learning over mesh networks M Zecchin, D Gesbert, M Kountouris 2022 30th European Signal Processing Conference (EUSIPCO), 702-706, 2022 | 2 | 2022 |
| Automatic AI Model Selection for Wireless Systems: Online Learning via Digital Twinning Q Hou, M Zecchin, S Park, Y Cai, G Yu, K Chowdhury, O Simeone arXiv preprint arXiv:2406.15819, 2024 | 1 | 2024 |
| What If We Had Used a Different App? Reliable Counterfactual KPI Analysis in Wireless Systems Q Hou, S Park, M Zecchin, Y Cai, G Yu, O Simeone arXiv preprint arXiv:2410.00150, 2024 | | 2024 |
| Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection M Zecchin, O Simeone arXiv preprint arXiv:2409.15844, 2024 | | 2024 |
| Conformal Distributed Remote Inference in Sensor Networks Under Reliability and Communication Constraints M Zhu, M Zecchin, S Park, C Guo, C Feng, P Popovski, O Simeone arXiv preprint arXiv:2409.07902, 2024 | | 2024 |
Marios KountourisProfessor, EURECOM, France在 eurecom.fr 的电子邮件经过验证
