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01/19/2023
Time-Warping Invariant Quantum Recurrent Neural Networks via Quantum-Classical Adaptive Gating
Adaptive gating plays a key role in temporal data processing via classic...
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03/31/2022
Quantum-Aided Meta-Learning for Bayesian Binary Neural Networks via Born Machines
Near-term noisy intermediate-scale quantum circuits can efficiently impl...
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01/21/2022
Training Hybrid Classical-Quantum Classifiers via Stochastic Variational Optimization
Quantum machine learning has emerged as a potential practical applicatio...
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10/19/2021
BAMLD: Bayesian Active Meta-Learning by Disagreement
Data-efficient learning algorithms are essential in many practical appli...
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08/04/2021
Black-Box and Modular Meta-Learning for Power Control via Random Edge Graph Neural Networks
In this paper, we consider the problem of power control for a wireless n...
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05/02/2021
Fast Power Control Adaptation via Meta-Learning for Random Edge Graph Neural Networks
Power control in decentralized wireless networks poses a complex stochas...
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04/05/2020
Deep Reinforcement Learning-Aided Random Access
We consider a system model comprised of an access point (AP) and K Inter...
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01/22/2020
Inference over Wireless IoT Links with Importance-Filtered Updates
We consider a communication cell comprised of Internet-of-Things (IoT) n...
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04/24/2018