Matteo Zecchin

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 27

Top Topics

Predictive Control

Confidence Levels

Wireless Channels

Online Learning

Top Venues

IEEE J. Sel. Areas Inf. Theory

Publications

Matteo Zecchin, Kai Yu, Osvaldo Simeone
Cell-Free Multi-User MIMO Equalization via In-Context Learning. CoRR (2024)
Matteo Zecchin, Kai Yu, Osvaldo Simeone
In-Context Learning for MIMO Equalization Using Transformer-Based Sequence Models. ICC Workshops (2024)
Matteo Zecchin, Sangwoo Park, Osvaldo Simeone, Fredrik Hellström
Generalization and Informativeness of Conformal Prediction. CoRR (2024)
Meiyi Zhu, Matteo Zecchin, Sangwoo Park, Caili Guo, Chunyan Feng, Osvaldo Simeone
Federated Inference With Reliable Uncertainty Quantification Over Wireless Channels via Conformal Prediction. IEEE Trans. Signal Process. 72 (2024)
Matteo Zecchin, Sangwoo Park, Osvaldo Simeone
Forking Uncertainties: Reliable Prediction and Model Predictive Control With Sequence Models via Conformal Risk Control. IEEE J. Sel. Areas Inf. Theory 5 (2024)
Matteo Zecchin, Osvaldo Simeone
Localized Adaptive Risk Control. CoRR (2024)
Qiushuo Hou, Matteo Zecchin, Sangwoo Park, Yunlong Cai, Guanding Yu, Kaushik Chowdhury, Osvaldo Simeone
Automatic AI Model Selection for Wireless Systems: Online Learning via Digital Twinning. CoRR (2024)
Matteo Zecchin, Marios Kountouris, David Gesbert
Communication-Efficient Distributionally Robust Decentralized Learning. Trans. Mach. Learn. Res. 2023 (2023)
Meiyi Zhu, Matteo Zecchin, Sangwoo Park, Caili Guo, Chunyan Feng, Osvaldo Simeone
Federated Inference with Reliable Uncertainty Quantification over Wireless Channels via Conformal Prediction. CoRR (2023)
Matteo Zecchin, Sangwoo Park, Osvaldo Simeone, Marios Kountouris, David Gesbert
Robust Bayesian Learning for Reliable Wireless AI: Framework and Applications. IEEE Trans. Cogn. Commun. Netw. 9 (4) (2023)
Mohamad Mestoukirdi, Matteo Zecchin, David Gesbert, Qianrui Li
User-Centric Federated Learning: Trading off Wireless Resources for Personalization. CoRR (2023)
Davit Gogolashvili, Matteo Zecchin, Motonobu Kanagawa, Marios Kountouris, Maurizio Filippone
When is Importance Weighting Correction Needed for Covariate Shift Adaptation? CoRR (2023)
Matteo Zecchin, Kai Yu, Osvaldo Simeone
In-Context Learning for MIMO Equalization Using Transformer-Based Sequence Models. CoRR (2023)
Matteo Zecchin, Sangwoo Park, Osvaldo Simeone
Forking Uncertainties: Reliable Prediction and Model Predictive Control with Sequence Models via Conformal Risk Control. CoRR (2023)
Eunjeong Jeong, Matteo Zecchin, Marios Kountouris
Asynchronous Decentralized Learning over Unreliable Wireless Networks. ICC (2022)
Matteo Zecchin, Sangwoo Park, Osvaldo Simeone, Marios Kountouris, David Gesbert
: Training Ensemble Models Under Model Misspecification and Outliers. CoRR (2022)
Matteo Zecchin, David Gesbert, Marios Kountouris
UAV-Aided Decentralized Learning over Mesh Networks. EUSIPCO (2022)
Matteo Zecchin, Mahdi Boloursaz Mashhadi, Mikolaj Jankowski, Deniz Gündüz, Marios Kountouris, David Gesbert
LIDAR and Position-Aided mmWave Beam Selection With Non-Local CNNs and Curriculum Training. IEEE Trans. Veh. Technol. 71 (3) (2022)
Eunjeong Jeong, Matteo Zecchin, Marios Kountouris
Asynchronous Decentralized Learning over Unreliable Wireless Networks. CoRR (2022)
Matteo Zecchin, David Gesbert, Marios Kountouris
UAV-Aided Decentralized Learning over Mesh Networks. CoRR (2022)
Matteo Zecchin, Sangwoo Park, Osvaldo Simeone, Marios Kountouris, David Gesbert
Robust Bayesian Learning for Reliable Wireless AI: Framework and Applications. CoRR (2022)
Matteo Zecchin, Marios Kountouris, David Gesbert
Communication-Efficient Distributionally Robust Decentralized Learning. CoRR (2022)
Mohamad Mestoukirdi, Matteo Zecchin, David Gesbert, Qianrui Li, Nicolas Gresset
User-Centric Federated Learning. GLOBECOM (Workshops) (2021)
Mohamad Mestoukirdi, Matteo Zecchin, David Gesbert, Qianrui Li, Nicolas Gresset
User-Centric Federated Learning. CoRR (2021)
Matteo Zecchin, Mahdi Boloursaz Mashhadi, Mikolaj Jankowski, Deniz Gündüz, Marios Kountouris, David Gesbert
A Novel Look at LIDAR-aided Data-driven mmWave Beam Selection. CoRR (2021)
Matteo Zecchin, David Gesbert, Marios Kountouris
Team Deep Mixture of Experts for Distributed Power Control. CoRR (2020)
Matteo Zecchin, David Gesbert, Marios Kountouris
Team Deep Mixture of Experts for Distributed Power Control. SPAWC (2020)