research
∙
01/31/2022
Towards Scaling Difference Target Propagation by Learning Backprop Targets
The development of biologically-plausible learning algorithms is importa...
share
research
∙
03/16/2021
Training Dynamical Binary Neural Networks with Equilibrium Propagation
Equilibrium Propagation (EP) is an algorithm intrinsically adapted to th...
research
∙
10/15/2020
EqSpike: Spike-driven Equilibrium Propagation for Neuromorphic Implementations
Neuromorphic systems achieve high energy efficiency by computing with sp...
research
∙
06/06/2020
Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing its Gradient Estimator Bias
Equilibrium Propagation (EP) is a biologically-inspired algorithm for co...
research
∙
04/29/2020
Equilibrium Propagation with Continual Weight Updates
Equilibrium Propagation (EP) is a learning algorithm that bridges Machin...
research
∙
04/29/2020
Continual Weight Updates and Convolutional Architectures for Equilibrium Propagation
Equilibrium Propagation (EP) is a biologically inspired alternative algo...
research
∙
03/07/2020
Synaptic Metaplasticity in Binarized Neural Networks
While deep neural networks have surpassed human performance in multiple ...
research
∙
05/31/2019