16 citations · 16 across the 4 of their papers we have counts for
3 papers · 1 filter
Direct-to-Event Spiking Neural Network Transfer
Nhan Trong Luu, Duong Trung Luu, Pham Ngoc Nam +1
Spiking Neural Networks (SNNs) have gained increasing attention due to their potential for low-power computation on neuromorphic hardware. A widely adopted training strategy for SN…
Parameter efficient hybrid spiking-quantum convolutional neural network with surrogate gradient and quantum data-reupload
Luu Trong Nhan, Luu Trung Duong, Pham Ngoc Nam +1
The rapid advancement of artificial intelligence (AI) and deep learning (DL) has catalyzed the emergence of several optimization-driven subfields, notably neuromorphic computing an…
Hybrid Temporal-8-Bit Spike Coding for Spiking Neural Network Surrogate Training
Luu Trong Nhan, Luu Trung Duong, Pham Ngoc Nam +1
Spiking neural networks (SNNs) have emerged as a promising direction in both computational neuroscience and artificial intelligence, offering advantages such as strong biological p…