2 papers
cs.AR2026
Surrogates, Spikes, and Sparsity: Performance Analysis and Characterization of SNN Hyperparameters on Hardware
Ilkin Aliyev, Jesus Lopez, Tosiron Adegbija
Spiking Neural Networks (SNNs) offer inherent advantages for low-power inference through sparse, event-driven computation. However, the theoretical energy benefits of SNNs are ofte…
cs.AR2024
Exploring the Sparsity-Quantization Interplay on a Novel Hybrid SNN Event-Driven Architecture
Ilkin Aliyev, Jesus Lopez, Tosiron Adegbija
Spiking Neural Networks (SNNs) offer potential advantages in energy efficiency but currently trail Artificial Neural Networks (ANNs) in versatility, largely due to challenges in ef…