62 citations · 80 across the 4 of their papers we have counts for
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cs.LG2023
Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training
Xi Chen, Chang Gao, Zuowen Wang +4
Recurrent Neural Networks (RNNs) are useful in temporal sequence tasks. However, training RNNs involves dense matrix multiplications which require hardware that can support a large…
cs.NE2023
EEGSN: Towards Efficient Low-latency Decoding of EEG with Graph Spiking Neural Networks
Xi Chen, Siwei Mai, Konstantinos Michmizos
A vast majority of spiking neural networks (SNNs) are trained based on inductive biases that are not necessarily a good fit for several critical tasks that require low-latency and…