4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.NE2025
STEMS: Spatial-Temporal Mapping For Spiking Neural Networks
Sherif Eissa, Sander Stuijk, Floran De Putter +3
Spiking Neural Networks (SNNs) are promising bio-inspired third-generation neural networks. Recent research has trained deep SNN models with accuracy on par with Artificial Neural…
cs.AR2022
Low- and Mixed-Precision Inference Accelerators
Maarten Molendijk, Floran de Putter, Henk Corporaal
With the surging popularity of edge computing, the need to efficiently perform neural network inference on battery-constrained IoT devices has greatly increased. While algorithmic…
cs.LG2022★ 4 cited
How to train accurate BNNs for embedded systems?
Floran de Putter, Henk Corporaal
A key enabler of deploying convolutional neural networks on resource-constrained embedded systems is the binary neural network (BNN). BNNs save on memory and simplify computation b…