Matteo Zecchin

61 papers A* 2B 3Journal 48Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Prediction-Powered Communication With Distortion Guarantees. IEEE J. Sel. Areas Inf. Theory Matteo Zecchin, Unnikrishnan Kunnath Ganesan, Giuseppe Durisi, Petar Popovski, Osvaldo Simeone
2026	J	`jnl`	Universal Sequential Changepoint Detection of Quantum Observables via Classical Shadows. CoRR Matteo Zecchin, Osvaldo Simeone, Aaditya Ramdas
2025	A*	`conf`	Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection. ICML Matteo Zecchin, Sangwoo Park, Osvaldo Simeone
2025	J	`jnl`	Adaptive Prediction-Powered AutoEval with Reliability and Efficiency Guarantees. CoRR Sangwoo Park, Matteo Zecchin, Osvaldo Simeone
2025	J	`jnl`	Automatic AI Model Selection for Wireless Systems: Online Learning via Digital Twinning. IEEE Trans. Wirel. Commun. Qiushuo Hou, Matteo Zecchin, Sangwoo Park, Yunlong Cai, Guanding Yu, Kaushik R. Chowdhury, Osvaldo Simeone
2025	J	`jnl`	Conformal Calibration: Ensuring the Reliability of Black-Box AI in Wireless Systems. CoRR Osvaldo Simeone, Sangwoo Park, Matteo Zecchin
2025	J	`jnl`	Conformal Distributed Remote Inference in Sensor Networks Under Reliability and Communication Constraints. IEEE Trans. Signal Process. Meiyi Zhu, Matteo Zecchin, Sangwoo Park, Caili Guo, Chunyan Feng, Petar Popovski, Osvaldo Simeone
2025	J	`jnl`	Distributed Associative Memory via Online Convex Optimization. CoRR Bowen Wang, Matteo Zecchin, Osvaldo Simeone
2025	J	`jnl`	Distributed Dynamic Associative Memory via Online Convex Optimization. CoRR Bowen Wang, Matteo Zecchin, Osvaldo Simeone
2025	B	`conf`	Generalization and Informativeness of Weighted Conformal Risk Control Under Covariate Shift. ISIT Matteo Zecchin, Fredrik Hellström, Sangwoo Park, Shlomo Shamai Shitz, Osvaldo Simeone
2025	J	`jnl`	Generalization and Informativeness of Weighted Conformal Risk Control Under Covariate Shift. CoRR Matteo Zecchin, Fredrik Hellström, Sangwoo Park, Shlomo Shamai, Osvaldo Simeone
2025	J	`jnl`	In-Context Learning for Gradient-Free Receiver Adaptation: Principles, Applications, and Theory. CoRR Matteo Zecchin, Tomer Raviv, Dileep Kalathil, Krishna Narayanan, Nir Shlezinger, Osvaldo Simeone
2025	J	`jnl`	Mirror Online Conformal Prediction With Intermittent Feedback. IEEE Signal Process. Lett. Bowen Wang, Matteo Zecchin, Osvaldo Simeone
2025	J	`jnl`	Mirror Online Conformal Prediction with Intermittent Feedback. CoRR Bowen Wang, Matteo Zecchin, Osvaldo Simeone
2025	B	`conf`	Online Conformal Compression for Zero-Delay Communication with Distortion Guarantees. ISIT Unnikrishnan Kunnath Ganesan, Giuseppe Durisi, Matteo Zecchin, Petar Popovski, Osvaldo Simeone
2025	J	`jnl`	Online Conformal Compression for Zero-Delay Communication with Distortion Guarantees. CoRR Unnikrishnan Kunnath Ganesan, Giuseppe Durisi, Matteo Zecchin, Petar Popovski, Osvaldo Simeone
2025	—	`conf`	Online Conformal Probabilistic Numerics via Adaptive Edge-Cloud Offloading. ProbNum Qiushuo Hou, Sangwoo Park, Matteo Zecchin, Yunlong Cai, Guanding Yu, Osvaldo Simeone
2025	J	`jnl`	Online Conformal Probabilistic Numerics via Adaptive Edge-Cloud Offloading. CoRR Qiushuo Hou, Sangwoo Park, Matteo Zecchin, Yunlong Cai, Guanding Yu, Osvaldo Simeone
2025	J	`jnl`	Prediction-Powered Communication with Distortion Guarantees. CoRR Matteo Zecchin, Unnikrishnan Kunnath Ganesan, Giuseppe Durisi, Petar Popovski, Osvaldo Simeone
2025	J	`jnl`	Quantum Sequential Universal Hypothesis Testing. CoRR Matteo Zecchin, Osvaldo Simeone, Aaditya Ramdas
2025	J	`jnl`	Reliable LLM-Based Edge-Cloud-Expert Cascades for Telecom Knowledge Systems. CoRR Qiushuo Hou, Sangwoo Park, Matteo Zecchin, Yunlong Cai, Guanding Yu, Osvaldo Simeone, Tommaso Melodia
2025	J	`jnl`	Robust Bayesian Optimization via Localized Online Conformal Prediction. IEEE Trans. Signal Process. Dongwon Kim, Matteo Zecchin, Sangwoo Park, Joonhyuk Kang, Osvaldo Simeone
2025	J	`jnl`	Synthetic Counterfactual Labels for Efficient Conformal Counterfactual Inference. CoRR Amirmohammad Farzaneh, Matteo Zecchin, Osvaldo Simeone
2025	J	`jnl`	Turbo-ICL: In-Context Learning-Based Turbo Equalization. CoRR Zihang Song, Matteo Zecchin, Bipin Rajendran, Osvaldo Simeone
2025	J	`jnl`	What If We Had Used a Different App? Reliable Counterfactual KPI Analysis in Wireless Systems. IEEE Trans. Cogn. Commun. Netw. Qiushuo Hou, Sangwoo Park, Matteo Zecchin, Yunlong Cai, Guanding Yu, Osvaldo Simeone
2024	J	`jnl`	Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection. CoRR Matteo Zecchin, Osvaldo Simeone
2024	J	`jnl`	Automatic AI Model Selection for Wireless Systems: Online Learning via Digital Twinning. CoRR Qiushuo Hou, Matteo Zecchin, Sangwoo Park, Yunlong Cai, Guanding Yu, Kaushik Roy Chowdhury, Osvaldo Simeone
2024	—	`conf`	Cell-Free Multi-User MIMO Equalization via In-Context Learning. SPAWC Matteo Zecchin, Kai Yu, Osvaldo Simeone
2024	J	`jnl`	Cell-Free Multi-User MIMO Equalization via In-Context Learning. CoRR Matteo Zecchin, Kai Yu, Osvaldo Simeone
2024	J	`jnl`	Conformal Distributed Remote Inference in Sensor Networks Under Reliability and Communication Constraints. CoRR Meiyi Zhu, Matteo Zecchin, Sangwoo Park, Caili Guo, Chunyan Feng, Petar Popovski, Osvaldo Simeone
2024	J	`jnl`	Federated Inference With Reliable Uncertainty Quantification Over Wireless Channels via Conformal Prediction. IEEE Trans. Signal Process. Meiyi Zhu, Matteo Zecchin, Sangwoo Park, Caili Guo, Chunyan Feng, Osvaldo Simeone
2024	J	`jnl`	Forking Uncertainties: Reliable Prediction and Model Predictive Control With Sequence Models via Conformal Risk Control. IEEE J. Sel. Areas Inf. Theory Matteo Zecchin, Sangwoo Park, Osvaldo Simeone
2024	B	`conf`	Generalization and Informativeness of Conformal Prediction. ISIT Matteo Zecchin, Sangwoo Park, Osvaldo Simeone, Fredrik Hellström
2024	J	`jnl`	Generalization and Informativeness of Conformal Prediction. CoRR Matteo Zecchin, Sangwoo Park, Osvaldo Simeone, Fredrik Hellström
2024	—	`conf`	In-Context Learning for MIMO Equalization Using Transformer-Based Sequence Models. ICC Workshops Matteo Zecchin, Kai Yu, Osvaldo Simeone
2024	A*	`conf`	Localized Adaptive Risk Control. NeurIPS Matteo Zecchin, Osvaldo Simeone
2024	J	`jnl`	Localized Adaptive Risk Control. CoRR Matteo Zecchin, Osvaldo Simeone
2024	J	`jnl`	Robust Bayesian Optimization via Localized Online Conformal Prediction. CoRR Dongwon Kim, Matteo Zecchin, Sangwoo Park, Joonhyuk Kang, Osvaldo Simeone
2024	J	`jnl`	Robust PAC IEEE Trans. Neural Networks Learn. Syst. Matteo Zecchin, Sangwoo Park, Osvaldo Simeone, Marios Kountouris, David Gesbert
2024	J	`jnl`	What If We Had Used a Different App? Reliable Counterfactual KPI Analysis in Wireless Systems. CoRR Qiushuo Hou, Sangwoo Park, Matteo Zecchin, Yunlong Cai, Guanding Yu, Osvaldo Simeone
2023	J	`jnl`	Communication-Efficient Distributionally Robust Decentralized Learning. Trans. Mach. Learn. Res. Matteo Zecchin, Marios Kountouris, David Gesbert
2023	J	`jnl`	Federated Inference with Reliable Uncertainty Quantification over Wireless Channels via Conformal Prediction. CoRR Meiyi Zhu, Matteo Zecchin, Sangwoo Park, Caili Guo, Chunyan Feng, Osvaldo Simeone
2023	J	`jnl`	Forking Uncertainties: Reliable Prediction and Model Predictive Control with Sequence Models via Conformal Risk Control. CoRR Matteo Zecchin, Sangwoo Park, Osvaldo Simeone
2023	J	`jnl`	In-Context Learning for MIMO Equalization Using Transformer-Based Sequence Models. CoRR Matteo Zecchin, Kai Yu, Osvaldo Simeone
2023	J	`jnl`	Robust Bayesian Learning for Reliable Wireless AI: Framework and Applications. IEEE Trans. Cogn. Commun. Netw. Matteo Zecchin, Sangwoo Park, Osvaldo Simeone, Marios Kountouris, David Gesbert
2023	J	`jnl`	User-Centric Federated Learning: Trading off Wireless Resources for Personalization. CoRR Mohamad Mestoukirdi, Matteo Zecchin, David Gesbert, Qianrui Li
2023	J	`jnl`	When is Importance Weighting Correction Needed for Covariate Shift Adaptation? CoRR Davit Gogolashvili, Matteo Zecchin, Motonobu Kanagawa, Marios Kountouris, Maurizio Filippone
2022	—	`conf`	Asynchronous Decentralized Learning over Unreliable Wireless Networks. ICC Eunjeong Jeong, Matteo Zecchin, Marios Kountouris
2022	J	`jnl`	Asynchronous Decentralized Learning over Unreliable Wireless Networks. CoRR Eunjeong Jeong, Matteo Zecchin, Marios Kountouris
2022	J	`jnl`	Communication-Efficient Distributionally Robust Decentralized Learning. CoRR Matteo Zecchin, Marios Kountouris, David Gesbert
2022	J	`jnl`	LIDAR and Position-Aided mmWave Beam Selection With Non-Local CNNs and Curriculum Training. IEEE Trans. Veh. Technol. Matteo Zecchin, Mahdi Boloursaz Mashhadi, Mikolaj Jankowski, Deniz Gündüz, Marios Kountouris, David Gesbert
2022	J	`jnl`	Robust Bayesian Learning for Reliable Wireless AI: Framework and Applications. CoRR Matteo Zecchin, Sangwoo Park, Osvaldo Simeone, Marios Kountouris, David Gesbert
2022	—	`—`	Robust Machine Learning Approaches to Wireless Communication Networks. (Approches robustes d'apprentissage automatique pour les réseaux de communication sans fil). Matteo Zecchin
2022	J	`jnl`	Robust PAC CoRR Matteo Zecchin, Sangwoo Park, Osvaldo Simeone, Marios Kountouris, David Gesbert
2022	—	`conf`	UAV-Aided Decentralized Learning over Mesh Networks. EUSIPCO Matteo Zecchin, David Gesbert, Marios Kountouris
2022	J	`jnl`	UAV-Aided Decentralized Learning over Mesh Networks. CoRR Matteo Zecchin, David Gesbert, Marios Kountouris
2021	J	`jnl`	A Novel Look at LIDAR-aided Data-driven mmWave Beam Selection. CoRR Matteo Zecchin, Mahdi Boloursaz Mashhadi, Mikolaj Jankowski, Deniz Gündüz, Marios Kountouris, David Gesbert
2021	—	`conf`	User-Centric Federated Learning. GLOBECOM (Workshops) Mohamad Mestoukirdi, Matteo Zecchin, David Gesbert, Qianrui Li, Nicolas Gresset
2021	J	`jnl`	User-Centric Federated Learning. CoRR Mohamad Mestoukirdi, Matteo Zecchin, David Gesbert, Qianrui Li, Nicolas Gresset
2020	—	`conf`	Team Deep Mixture of Experts for Distributed Power Control. SPAWC Matteo Zecchin, David Gesbert, Marios Kountouris
2020	J	`jnl`	Team Deep Mixture of Experts for Distributed Power Control. CoRR Matteo Zecchin, David Gesbert, Marios Kountouris