41 citations · 44 across the 3 of their papers we have counts for
3 papers
cs.LG2021★ 1 cited
A Gradient Estimator for Time-Varying Electrical Networks with Non-Linear Dissipation
Jack Kendall
We propose a method for extending the technique of equilibrium propagation for estimating gradients in fixed-point neural networks to the more general setting of directed, time-var…
cs.NE2020★ 41 cited
Training End-to-End Analog Neural Networks with Equilibrium Propagation
Jack Kendall, Ross Pantone, Kalpana Manickavasagam +2
We introduce a principled method to train end-to-end analog neural networks by stochastic gradient descent. In these analog neural networks, the weights to be adjusted are implemen…
cs.ET2020★ 2 cited
Deep Learning in Memristive Nanowire Networks
Jack D. Kendall, Ross D. Pantone, Juan C. Nino
Analog crossbar architectures for accelerating neural network training and inference have made tremendous progress over the past several years. These architectures are ideal for de…