2 papers
cs.LG2026
Fully Trainable Deep Differentiable Logic Gate Networks and Lookup Table Networks
Wout Mommen, Lars Keuninckx, Matthias Hartmann +2
We introduce a novel method for both partial and full optimization of the connections in deep differentiable logic gate networks (LGNs) and lookup table networks (LUTNs). Our train…
cs.NE2024
Twin Network Augmentation: A Novel Training Strategy for Improved Spiking Neural Networks and Efficient Weight Quantization
Lucas Deckers, Benjamin Vandersmissen, Ing Jyh Tsang +2
The proliferation of Artificial Neural Networks (ANNs) has led to increased energy consumption, raising concerns about their sustainability. Spiking Neural Networks (SNNs), which a…