1 citations · 2 across the 3 of their papers we have counts for
4 papers
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…
Hybrid Layer-Wise ANN-SNN With Surrogate Spike Encoding-Decoding Structure
Nhan T. Luu, Duong T. Luu, Pham Ngoc Nam +1
Spiking Neural Networks (SNNs) have gained significant traction in both computational neuroscience and artificial intelligence for their potential in energy-efficient computing. In…
Quantifying How Training Gradient Sparsity Affect Spiking Neural Network Accuracy And Robustness
Luu Trong Nhan, Nhan Trong Luu, Luu Trung Duong +3
Spiking Neural Networks (SNNs) have recently received increasing attention in both computational neuroscience and artificial intelligence owing to their potential for energy-effici…