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AI-Based Channel Prediction in D2D Links: An Empirical Validation



Nidhi Simmons , Samuel B. Ferreira Gomes , Michel Daoud Yacoub , Osvaldo Simeone , Simon L Cotton , David E. Simmons


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Neuromorphic Wireless Cognition: Event-Driven Semantic Communications for Remote Inference



Jiechen Chen , Nicolas Skatchkovsky , Osvaldo Simeone

* submitted 

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An Introduction to Quantum Machine Learning for Engineers



Osvaldo Simeone

* This is a first draft, and is currently under review. Comments are very welcome, including corrections 

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Learning Quantum Entanglement Distillation with Noisy Classical Communications



Hari Hara Suthan Chittoor , Osvaldo Simeone

* submitted for conference publication 

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Quantum-Aided Meta-Learning for Bayesian Binary Neural Networks via Born Machines



Ivana Nikoloska , Osvaldo Simeone

* submitted for publication 

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Online Meta-Learning For Hybrid Model-Based Deep Receivers



Tomer Raviv , Sangwoo Park , Osvaldo Simeone , Yonina C. Eldar , Nir Shlezinger

* arXiv admin note: text overlap with arXiv:2103.13483 

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Predicting Multi-Antenna Frequency-Selective Channels via Meta-Learned Linear Filters based on Long-Short Term Channel Decomposition



Sangwoo Park , Osvaldo Simeone

* submitted for journal publication, subsumes (arXiv:2110.00414) 

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Robust Design of Rate-Splitting Multiple Access With Imperfect CSI for Cell-Free MIMO Systems



Daesung Yu , Seok-Hwan Park , Osvaldo Simeone , Shlomo Shamai

* To be presented at IEEE ICC 2022 6th Workshop on Rate-Splitting Multiple Access for 6G 

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



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

* Submitted to IEEE Transactions on Neural Networks and Learning Systems 

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