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Matteo Zecchin
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2020 – today
- 2024
- [j6]Matteo Zecchin
, Sangwoo Park
Forking Uncertainties: Reliable Prediction and Model Predictive Control With Sequence Models via Conformal Risk Control. IEEE J. Sel. Areas Inf. Theory 5: 44-61 (2024) - [j5]Matteo Zecchin
Robust PACm: Training Ensemble Models Under Misspecification and Outliers. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16518-16532 (2024) - [j4]Meiyi Zhu
Federated Inference With Reliable Uncertainty Quantification Over Wireless Channels via Conformal Prediction. IEEE Trans. Signal Process. 72: 1235-1250 (2024) - [c7]Matteo Zecchin, Kai Yu, Osvaldo Simeone:
In-Context Learning for MIMO Equalization Using Transformer-Based Sequence Models. ICC Workshops 2024: 1573-1578 - [c6]Matteo Zecchin, Sangwoo Park, Osvaldo Simeone, Fredrik Hellström:
Generalization and Informativeness of Conformal Prediction. ISIT 2024: 244-249 - [c5]Matteo Zecchin, Kai Yu, Osvaldo Simeone:
Cell-Free Multi-User MIMO Equalization via In-Context Learning. SPAWC 2024: 646-650 - [i20]Matteo Zecchin, Sangwoo Park, Osvaldo Simeone, Fredrik Hellström:
Generalization and Informativeness of Conformal Prediction. CoRR abs/2401.11810 (2024) - [i19]Matteo Zecchin, Kai Yu, Osvaldo Simeone:
Cell-Free Multi-User MIMO Equalization via In-Context Learning. CoRR abs/2404.05538 (2024) - [i18]Matteo Zecchin, Osvaldo Simeone:
Localized Adaptive Risk Control. CoRR abs/2405.07976 (2024) - [i17]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 abs/2406.15819 (2024) - [i16]Meiyi Zhu, Matteo Zecchin, Sangwoo Park, Caili Guo, Chunyan Feng, Petar Popovski, Osvaldo Simeone:
Conformal Distributed Remote Inference in Sensor Networks Under Reliability and Communication Constraints. CoRR abs/2409.07902 (2024) - [i15]Matteo Zecchin, Osvaldo Simeone:
Adaptive Learn-then-Test: Statistically Valid and Efficient Hyperparameter Selection. CoRR abs/2409.15844 (2024) - [i14]Qiushuo Hou, Sangwoo Park, Matteo Zecchin, Yunlong Cai, Guanding Yu, Osvaldo Simeone:
What If We Had Used a Different App? Reliable Counterfactual KPI Analysis in Wireless Systems. CoRR abs/2410.00150 (2024) - 2023
- [j3]Matteo Zecchin
Robust Bayesian Learning for Reliable Wireless AI: Framework and Applications. IEEE Trans. Cogn. Commun. Netw. 9(4): 897-912 (2023) - [j2]Matteo Zecchin, Marios Kountouris, David Gesbert:
Communication-Efficient Distributionally Robust Decentralized Learning. Trans. Mach. Learn. Res. 2023 (2023) - [i13]Davit Gogolashvili, Matteo Zecchin, Motonobu Kanagawa, Marios Kountouris, Maurizio Filippone:
When is Importance Weighting Correction Needed for Covariate Shift Adaptation? CoRR abs/2303.04020 (2023) - [i12]Mohamad Mestoukirdi, Matteo Zecchin, David Gesbert, Qianrui Li:
User-Centric Federated Learning: Trading off Wireless Resources for Personalization. CoRR abs/2304.12930 (2023) - [i11]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 abs/2308.04237 (2023) - [i10]Matteo Zecchin, Sangwoo Park, Osvaldo Simeone:
Forking Uncertainties: Reliable Prediction and Model Predictive Control with Sequence Models via Conformal Risk Control. CoRR abs/2310.10299 (2023) - [i9]Matteo Zecchin, Kai Yu, Osvaldo Simeone:
In-Context Learning for MIMO Equalization Using Transformer-Based Sequence Models. CoRR abs/2311.06101 (2023) - 2022
- [b1]Matteo Zecchin:
Robust Machine Learning Approaches to Wireless Communication Networks. (Approches robustes d'apprentissage automatique pour les réseaux de communication sans fil). Sorbonne University, Paris, France, 2022 - [j1]Matteo Zecchin
LIDAR and Position-Aided mmWave Beam Selection With Non-Local CNNs and Curriculum Training. IEEE Trans. Veh. Technol. 71(3): 2979-2990 (2022) - [c4]Matteo Zecchin, David Gesbert, Marios Kountouris:
UAV-Aided Decentralized Learning over Mesh Networks. EUSIPCO 2022: 702-706 - [c3]Eunjeong Jeong, Matteo Zecchin, Marios Kountouris:
Asynchronous Decentralized Learning over Unreliable Wireless Networks. ICC 2022: 607-612 - [i8]Eunjeong Jeong, Matteo Zecchin, Marios Kountouris:
Asynchronous Decentralized Learning over Unreliable Wireless Networks. CoRR abs/2202.00955 (2022) - [i7]Matteo Zecchin, David Gesbert, Marios Kountouris:
UAV-Aided Decentralized Learning over Mesh Networks. CoRR abs/2203.01008 (2022) - [i6]Matteo Zecchin, Sangwoo Park, Osvaldo Simeone, Marios Kountouris, David Gesbert:
Robust PACm: Training Ensemble Models Under Model Misspecification and Outliers. CoRR abs/2203.01859 (2022) - [i5]Matteo Zecchin, Marios Kountouris, David Gesbert:
Communication-Efficient Distributionally Robust Decentralized Learning. CoRR abs/2205.15614 (2022) - [i4]Matteo Zecchin, Sangwoo Park, Osvaldo Simeone, Marios Kountouris, David Gesbert:
Robust Bayesian Learning for Reliable Wireless AI: Framework and Applications. CoRR abs/2207.00300 (2022) - 2021
- [c2]Mohamad Mestoukirdi
User-Centric Federated Learning. GLOBECOM (Workshops) 2021: 1-6 - [i3]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 abs/2104.14579 (2021) - [i2]Mohamad Mestoukirdi, Matteo Zecchin, David Gesbert, Qianrui Li, Nicolas Gresset:
User-Centric Federated Learning. CoRR abs/2110.09869 (2021) - 2020
- [c1]Matteo Zecchin, David Gesbert, Marios Kountouris:
Team Deep Mixture of Experts for Distributed Power Control. SPAWC 2020: 1-5 - [i1]Matteo Zecchin, David Gesbert, Marios Kountouris:
Team Deep Mixture of Experts for Distributed Power Control. CoRR abs/2007.14147 (2020)
Coauthor Index
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