most citedLightSNN: Lightweight Architecture Search for Sparse and Accurate Spiking Neural Networks

1 citations · 1 across the 3 of their papers we have counts for

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2026

Practical Bayesian Inference for Speech SNNs: Uncertainty and Loss-Landscape Smoothing

Yesmine Abdennadher, Philip N. Garner

Spiking Neural Networks (SNNs) are naturally suited for speech processing tasks due to their specific dynamics, which allows them to handle temporal data. However, the threshold-ba…

cs.LG2025

Convolutional Spiking-based GRU Cell for Spatio-temporal Data

Yesmine Abdennadher, Eleonora Cicciarella, Michele Rossi

Spike-based temporal messaging enables SNNs to efficiently process both purely temporal and spatio-temporal time-series or event-driven data. Combining SNNs with Gated Recurrent Un…