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03/28/2023
The Wyner Variational Autoencoder for Unsupervised Multi-Layer Wireless Fingerprinting
Wireless fingerprinting refers to a device identification method leverag...
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09/28/2020
NITI: Training Integer Neural Networks Using Integer-only Arithmetic
While integer arithmetic has been widely adopted for improved performanc...
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03/06/2020
LUXOR: An FPGA Logic Cell Architecture for Efficient Compressor Tree Implementations
We propose two tiers of modifications to FPGA logic cell architecture to...
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02/27/2020
MajorityNets: BNNs Utilising Approximate Popcount for Improved Efficiency
Binarized neural networks (BNNs) have shown exciting potential for utili...
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11/19/2019
AddNet: Deep Neural Networks Using FPGA-Optimized Multipliers
Low-precision arithmetic operations to accelerate deep-learning applicat...
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09/09/2019
Unrolling Ternary Neural Networks
The computational complexity of neural networks for large scale or real-...
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07/01/2018
SYQ: Learning Symmetric Quantization For Efficient Deep Neural Networks
Inference for state-of-the-art deep neural networks is computationally e...
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09/19/2017
