EnforceSNN: Enabling Resilient and Energy-Efficient Spiking Neural Network Inference considering Approximate DRAMs for Embedded Systems

8 April 2023

Papers citing "EnforceSNN: Enabling Resilient and Energy-Efficient Spiking Neural Network Inference considering Approximate DRAMs for Embedded Systems"

3 / 3 papers shown

Title
TopSpark: A Timestep Optimization Methodology for Energy-Efficient Spiking Neural Networks on Autonomous Mobile Agents Rachmad Vidya Wicaksana Putra Muhammad Shafique 37 12 0 03 Mar 2023
Mantis: Enabling Energy-Efficient Autonomous Mobile Agents with Spiking Neural Networks Rachmad Vidya Wicaksana Putra Muhammad Shafique 35 6 0 24 Dec 2022
lpSpikeCon: Enabling Low-Precision Spiking Neural Network Processing for Efficient Unsupervised Continual Learning on Autonomous Agents Rachmad Vidya Wicaksana Putra Muhammad Shafique 26 16 0 24 May 2022