Kunlin Hu

Spatio-Temporal Approximation: A Training-Free SNN Conversion for Transformers

Spiking neural networks (SNNs) are energy-efficient and hold great potential for large-scale inference. Since training SNNs from scratch is costly and has limited performance, converting pretrained artificial neural networks (ANNs) to SNNs is an attractive approach that retains robust performance wi…