Matteo Zecchin

According to our database, Matteo Zecchin authored at least 23 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Robust PAC_m: Training Ensemble Models Under Misspecification and Outliers.

Matteo Zecchin, Sangwoo Park, Osvaldo Simeone, Marios Kountouris, David Gesbert

IEEE Trans. Neural Networks Learn. Syst., November, 2024

Federated Inference With Reliable Uncertainty Quantification Over Wireless Channels via Conformal Prediction.

Meiyi Zhu, Matteo Zecchin, Sangwoo Park, Caili Guo, Chunyan Feng, Osvaldo Simeone

IEEE Trans. Signal Process., 2024

Forking Uncertainties: Reliable Prediction and Model Predictive Control With Sequence Models via Conformal Risk Control.

Matteo Zecchin, Sangwoo Park, Osvaldo Simeone

IEEE J. Sel. Areas Inf. Theory, 2024

What If We Had Used a Different App? Reliable Counterfactual KPI Analysis in Wireless Systems.

Qiushuo Hou, Sangwoo Park, Matteo Zecchin, Yunlong Cai, Guanding Yu, Osvaldo Simeone

CoRR, 2024

Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection.

Matteo Zecchin, Osvaldo Simeone

CoRR, 2024

Conformal Distributed Remote Inference in Sensor Networks Under Reliability and Communication Constraints.

Meiyi Zhu, Matteo Zecchin, Sangwoo Park, Caili Guo, Chunyan Feng, Petar Popovski, Osvaldo Simeone

CoRR, 2024

Automatic AI Model Selection for Wireless Systems: Online Learning via Digital Twinning.

Qiushuo Hou, Matteo Zecchin, Sangwoo Park, Yunlong Cai, Guanding Yu, Kaushik Chowdhury, Osvaldo Simeone

CoRR, 2024

Localized Adaptive Risk Control.

Matteo Zecchin, Osvaldo Simeone

CoRR, 2024

Cell-Free Multi-User MIMO Equalization via In-Context Learning.

Matteo Zecchin, Kai Yu, Osvaldo Simeone

Proceedings of the 25th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2024

Generalization and Informativeness of Conformal Prediction.

Matteo Zecchin, Sangwoo Park, Osvaldo Simeone, Fredrik Hellström

Proceedings of the IEEE International Symposium on Information Theory, 2024

In-Context Learning for MIMO Equalization Using Transformer-Based Sequence Models.

Matteo Zecchin, Kai Yu, Osvaldo Simeone

Proceedings of the IEEE International Conference on Communications Workshops, 2024

2023

Robust Bayesian Learning for Reliable Wireless AI: Framework and Applications.

Matteo Zecchin, Sangwoo Park, Osvaldo Simeone, Marios Kountouris, David Gesbert

IEEE Trans. Cogn. Commun. Netw., August, 2023

Communication-Efficient Distributionally Robust Decentralized Learning.

Matteo Zecchin, Marios Kountouris, David Gesbert

Trans. Mach. Learn. Res., 2023

User-Centric Federated Learning: Trading off Wireless Resources for Personalization.

Mohamad Mestoukirdi, Matteo Zecchin, David Gesbert, Qianrui Li

CoRR, 2023

When is Importance Weighting Correction Needed for Covariate Shift Adaptation?

Davit Gogolashvili, Matteo Zecchin, Motonobu Kanagawa, Marios Kountouris, Maurizio Filippone

CoRR, 2023

2022

Robust Machine Learning Approaches to Wireless Communication Networks. (Approches robustes d'apprentissage automatique pour les réseaux de communication sans fil).

Matteo Zecchin

PhD thesis, 2022

LIDAR and Position-Aided mmWave Beam Selection With Non-Local CNNs and Curriculum Training.

Matteo Zecchin, Mahdi Boloursaz Mashhadi, Mikolaj Jankowski, Deniz Gündüz, Marios Kountouris, David Gesbert

IEEE Trans. Veh. Technol., 2022

Robust PAC^m: Training Ensemble Models Under Model Misspecification and Outliers.

Matteo Zecchin, Sangwoo Park, Osvaldo Simeone, Marios Kountouris, David Gesbert

CoRR, 2022

Asynchronous Decentralized Learning over Unreliable Wireless Networks.

Eunjeong Jeong, Matteo Zecchin, Marios Kountouris

Proceedings of the IEEE International Conference on Communications, 2022

UAV-Aided Decentralized Learning over Mesh Networks.

Matteo Zecchin, David Gesbert, Marios Kountouris

Proceedings of the 30th European Signal Processing Conference, 2022

2021

A Novel Look at LIDAR-aided Data-driven mmWave Beam Selection.

Matteo Zecchin, Mahdi Boloursaz Mashhadi, Mikolaj Jankowski, Deniz Gündüz, Marios Kountouris, David Gesbert

CoRR, 2021

User-Centric Federated Learning.

Mohamad Mestoukirdi, Matteo Zecchin, David Gesbert, Qianrui Li, Nicolas Gresset

Proceedings of the IEEE Globecom 2021 Workshops, Madrid, Spain, December 7-11, 2021, 2021

2020

Team Deep Mixture of Experts for Distributed Power Control.

Matteo Zecchin, David Gesbert, Marios Kountouris

Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020