31 citations · 72 across the 10 of their papers we have counts for
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cs.NE2020★ 8 cited
Unifying Activation- and Timing-based Learning Rules for Spiking Neural Networks
Jinseok Kim, Kyungsu Kim, Jae-Joon Kim
For the gradient computation across the time domain in Spiking Neural Networks (SNNs) training, two different approaches have been independently studied. The first is to compute th…
cs.NE2019
BitSplit-Net: Multi-bit Deep Neural Network with Bitwise Activation Function
Hyungjun Kim, Yulhwa Kim, Sungju Ryu +1
Significant computational cost and memory requirements for deep neural networks (DNNs) make it difficult to utilize DNNs in resource-constrained environments. Binary neural network…
cs.NE2018★ 15 cited
Neural Network-Hardware Co-design for Scalable RRAM-based BNN Accelerators
Yulhwa Kim, Hyungjun Kim, Jae-Joon Kim
Recently, RRAM-based Binary Neural Network (BNN) hardware has been gaining interests as it requires 1-bit sense-amp only and eliminates the need for high-resolution ADC and DAC. Ho…