Showing cs.NEShow all
2 papers · 1 filter
cs.NE2021
Training Dynamical Binary Neural Networks with Equilibrium Propagation
Jérémie Laydevant, Maxence Ernoult, Damien Querlioz +1
Equilibrium Propagation (EP) is an algorithm intrinsically adapted to the training of physical networks, thanks to the local updates of weights given by the internal dynamics of th…
cs.NE2020
EqSpike: Spike-driven Equilibrium Propagation for Neuromorphic Implementations
Erwann Martin, Maxence Ernoult, Jérémie Laydevant +4
Finding spike-based learning algorithms that can be implemented within the local constraints of neuromorphic systems, while achieving high accuracy, remains a formidable challenge.…