Lucas Deckers

Twin Network Augmentation: A Novel Training Strategy for Improved Spiking Neural Networks and Weight Quantization.

It is demonstrated that TNA significantly enhances classification performance across various data sets and can be applied for reducing SNNs to ternary weight precision for inference, and suggests further exploration into the application of TNA on different network architectures and data sets.