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12/28/2022
A DRL Approach for RIS-Assisted Full-Duplex UL and DL Transmission: Beamforming, Phase Shift and Power Optimization
In this work, a two-stage deep reinforcement learning (DRL) approach is ...
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06/01/2022
Rotate the ReLU to implicitly sparsify deep networks
In the era of Deep Neural Network based solutions for a variety of real-...
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10/27/2021
Binarized ResNet: Enabling Automatic Modulation Classification at the resource-constrained Edge
In this paper, we propose a ResNet based neural architecture to solve th...
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10/15/2021
BayesAoA: A Bayesian method for Computation Efficient Angle of Arrival Estimation
The angle of Arrival (AoA) estimation is of great interest in modern com...
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06/18/2021
Realizing Neural Decoder at the Edge with Ensembled BNN
In this work, we propose extreme compression techniques like binarizatio...
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06/13/2020
Understanding Learning Dynamics of Binary Neural Networks via Information Bottleneck
Compact neural networks are essential for affordable and power efficient...
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03/20/2020
What is the optimal depth for deep-unfolding architectures at deployment?
Recently, many iterative algorithms proposed for various applications su...
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07/16/2019
