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Osvaldo Simeone

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

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* submitted

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An Introduction to Quantum Machine Learning for Engineers

Osvaldo Simeone

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* 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

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* submitted for conference publication

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

Ivana Nikoloska , Osvaldo Simeone

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* 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

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* 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

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* 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

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* 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

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* Submitted to IEEE Transactions on Neural Networks and Learning Systems

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