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
64 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
22 2023 Asynchronous decentralized learning over unreliable wireless networks E Jeong, M Zecchin, M Kountouris
ICC 2022-IEEE International Conference on Communications, 607-612, 2022
18 2022 Robust PAC M Zecchin, S Park, O Simeone, M Kountouris, D Gesbert
IEEE Transactions on Neural Networks and Learning Systems, 2023
14 2023 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
10 2024 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 Generalization and informativeness of conformal prediction M Zecchin, S Park, O Simeone, F Hellström
arXiv preprint arXiv:2401.11810, 2024
8 2024 Communication-Efficient Distributionally Robust Decentralized Learning M Zecchin, M Kountouris, D Gesbert
Transactions on Machine Learning Research (TMLR), 2022
8 2022 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
7 2024 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
7 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
7 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
7 2023 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
4 2024 Localized Adaptive Risk Control M Zecchin, O Simeone
arXiv preprint arXiv:2405.07976, 2024
4 2024 Uav-aided decentralized learning over mesh networks M Zecchin, D Gesbert, M Kountouris
2022 30th European Signal Processing Conference (EUSIPCO), 702-706, 2022
4 2022 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 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
IEEE Transactions on Cognitive Communications and Networking, 2025
2 2025 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
IEEE Transactions on Wireless Communications, 2025
2 2025 Adaptive learn-then-test: Statistically valid and efficient hyperparameter selection M Zecchin, O Simeone
arXiv preprint arXiv:2409.15844, 2024
2 2024 
Osvaldo SimeoneKing's College LondonBestätigte E-Mail-Adresse bei kcl.ac.uk