2 papers
eess.SP2026
Linearized Bregman Iterations for Sparse Spiking Neural Networks
Daniel Windhager, Bernhard A. Moser, Michael Lunglmayr
Spiking Neural Networks (SNNs) offer an energy efficient alternative to conventional Artificial Neural Networks (ANNs) but typically still require a large number of parameters. Thi…
cs.NE2025
Lightweight LIF-only SNN accelerator using differential time encoding
Daniel Windhager, Lothar Ratschbacher, Bernhard A. Moser +1
Spiking Neural Networks (SNNs) offer a promising solution to the problem of increasing computational and energy requirements for modern Machine Learning (ML) applications. Due to t…