Team Deep Mixture of Experts for Distributed Power Control. - Matteo Zecchin; David Gesbert; Marios Kountouris (SPAWC, 2020)

User-Centric Federated Learning. - Mohamad Mestoukirdi; Matteo Zecchin; David Gesbert; Qianrui Li; Nicolas Gresset (GLOBECOM (Workshops), 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)

UAV-Aided Decentralized Learning over Mesh Networks. - Matteo Zecchin; David Gesbert; Marios Kountouris (EUSIPCO, 2022)

Asynchronous Decentralized Learning over Unreliable Wireless Networks. - Eunjeong Jeong; Matteo Zecchin; Marios Kountouris (ICC, 2022)

Robust PACm: Training Ensemble Models Under Model Misspecification and Outliers. - Matteo Zecchin; Sangwoo Park 002; Osvaldo Simeone; Marios Kountouris; David Gesbert (CoRR, 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 Machine Learning Approaches to Wireless Communication Networks. (Approches robustes d'apprentissage automatique pour les réseaux de communication sans fil). - Matteo Zecchin (2022)

When is Importance Weighting Correction Needed for Covariate Shift Adaptation? - Davit Gogolashvili; Matteo Zecchin; Motonobu Kanagawa; Marios Kountouris; Maurizio Filippone (CoRR, 2023)

User-Centric Federated Learning: Trading off Wireless Resources for Personalization. - Mohamad Mestoukirdi; Matteo Zecchin; David Gesbert; Qianrui Li (CoRR, 2023)

Communication-Efficient Distributionally Robust Decentralized Learning. - Matteo Zecchin; Marios Kountouris; David Gesbert (Trans. Mach. Learn. Res., 2023)

Robust Bayesian Learning for Reliable Wireless AI: Framework and Applications. - Matteo Zecchin; Sangwoo Park 002; Osvaldo Simeone; Marios Kountouris; David Gesbert (IEEE Trans. Cogn. Commun. Netw., 2023)

In-Context Learning for MIMO Equalization Using Transformer-Based Sequence Models. - Matteo Zecchin; Kai Yu; Osvaldo Simeone (ICC Workshops, 2024)

Generalization and Informativeness of Conformal Prediction. - Matteo Zecchin; Sangwoo Park 002; Osvaldo Simeone; Fredrik Hellström (ISIT, 2024)

Localized Adaptive Risk Control. - Matteo Zecchin; Osvaldo Simeone (NeurIPS, 2024)

Cell-Free Multi-User MIMO Equalization via In-Context Learning. - Matteo Zecchin; Kai Yu; Osvaldo Simeone (SPAWC, 2024)

Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection. - Matteo Zecchin; Osvaldo Simeone (CoRR, 2024)

What If We Had Used a Different App? Reliable Counterfactual KPI Analysis in Wireless Systems. - Qiushuo Hou; Sangwoo Park 002; Matteo Zecchin; Yunlong Cai; Guanding Yu; Osvaldo Simeone (CoRR, 2024)

Forking Uncertainties: Reliable Prediction and Model Predictive Control With Sequence Models via Conformal Risk Control. - Matteo Zecchin; Sangwoo Park 002; Osvaldo Simeone (IEEE J. Sel. Areas Inf. Theory, 2024)

Federated Inference With Reliable Uncertainty Quantification Over Wireless Channels via Conformal Prediction. - Meiyi Zhu; Matteo Zecchin; Sangwoo Park 002; Caili Guo; Chunyan Feng; Osvaldo Simeone (IEEE Trans. Signal Process., 2024)

Robust PACm: Training Ensemble Models Under Misspecification and Outliers. - Matteo Zecchin; Sangwoo Park 002; Osvaldo Simeone; Marios Kountouris; David Gesbert (IEEE Trans. Neural Networks Learn. Syst., 2024)

Mirror Online Conformal Prediction With Intermittent Feedback. - Bowen Wang 003; Matteo Zecchin; Osvaldo Simeone (IEEE Signal Process. Lett., 2025)

Robust Bayesian Optimization via Localized Online Conformal Prediction. - Dongwon Kim; Matteo Zecchin; Sangwoo Park 002; Joonhyuk Kang; Osvaldo Simeone (IEEE Trans. Signal Process., 2025)

Conformal Distributed Remote Inference in Sensor Networks Under Reliability and Communication Constraints. - Meiyi Zhu; Matteo Zecchin; Sangwoo Park 002; Caili Guo; Chunyan Feng; Petar Popovski; Osvaldo Simeone (IEEE Trans. Signal Process., 2025)

Generalization and Informativeness of Weighted Conformal Risk Control Under Covariate Shift. - Matteo Zecchin; Fredrik Hellström; Sangwoo Park 002; Shlomo Shamai; Osvaldo Simeone (CoRR, 2025)

Online Conformal Compression for Zero-Delay Communication with Distortion Guarantees. - Unnikrishnan Kunnath Ganesan; Giuseppe Durisi; Matteo Zecchin; Petar Popovski; Osvaldo Simeone (CoRR, 2025)

Online Conformal Probabilistic Numerics via Adaptive Edge-Cloud Offloading. - Qiushuo Hou; Sangwoo Park 002; Matteo Zecchin; Yunlong Cai; Guanding Yu; Osvaldo Simeone (CoRR, 2025)

Conformal Calibration: Ensuring the Reliability of Black-Box AI in Wireless Systems. - Osvaldo Simeone; Sangwoo Park 002; Matteo Zecchin (CoRR, 2025)

Automatic AI Model Selection for Wireless Systems: Online Learning via Digital Twinning. - Qiushuo Hou; Matteo Zecchin; Sangwoo Park 002; Yunlong Cai; Guanding Yu; Kaushik R. Chowdhury; Osvaldo Simeone (IEEE Trans. Wirel. Commun., 2025)

Turbo-ICL: In-Context Learning-Based Turbo Equalization. - Zihang Song; Matteo Zecchin; Bipin Rajendran; Osvaldo Simeone (CoRR, 2025)

Adaptive Prediction-Powered AutoEval with Reliability and Efficiency Guarantees. - Sangwoo Park 002; Matteo Zecchin; Osvaldo Simeone (CoRR, 2025)

In-Context Learning for Gradient-Free Receiver Adaptation: Principles, Applications, and Theory. - Matteo Zecchin; Tomer Raviv; Dileep Kalathil; Krishna Narayanan 001; Nir Shlezinger; Osvaldo Simeone (CoRR, 2025)