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Latency-Constrained Prediction of mmWave/THz Link Blockages through Meta-Learning


Jun 14, 2021
Anders E. Kalør, Osvaldo Simeone, Petar Popovski


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Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck


Jun 02, 2021
Nicolas Skatchkovsky, Osvaldo Simeone, Hyeryung Jang

* Under review for conference publication 

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A unified PAC-Bayesian framework for machine unlearning via information risk minimization


Jun 01, 2021
Sharu Theresa Jose, Osvaldo Simeone

* Under Review 

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Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning


Jun 01, 2021
Sharu Theresa Jose, Sangwoo Park, Osvaldo Simeone

* Under review, 21 pages 

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Fast Power Control Adaptation via Meta-Learning for Random Edge Graph Neural Networks


May 02, 2021
Ivana Nikoloska, Osvaldo Simeone

* submitted for a conference publication 

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HyperRNN: Deep Learning-Aided Downlink CSI Acquisition via Partial Channel Reciprocity for FDD Massive MIMO


May 02, 2021
Yusha Liu, Osvaldo Simeone

* submitted for conference publication 

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Bayesian Variational Federated Learning and Unlearning in Decentralized Networks


Apr 08, 2021
Jinu Gong, Osvaldo Simeone, Joonhyuk Kang

* Submitted for conference publication 

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Collaborative Cloud and Edge Mobile Computing in C-RAN Systems with Minimal End-to-End Latency


Mar 30, 2021
Seok-Hwan Park, Seongah Jeong, Jinyeop Na, Osvaldo Simeone, Shlomo Shamai

* accepted for publication on IEEE Transactions on Signal and Information Processing over Networks 

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Meta-ViterbiNet: Online Meta-Learned Viterbi Equalization for Non-Stationary Channels


Mar 24, 2021
Tomer Raviv, Sangwoo Park, Nir Shlezinger, Osvaldo Simeone, Yonina C. Eldar, Joonhyuk Kang


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