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Towards Scaling Difference Target Propagation by Learning Backprop Targets


Jan 31, 2022
Maxence Ernoult, Fabrice Normandin, Abhinav Moudgil, Sean Spinney, Eugene Belilovsky, Irina Rish, Blake Richards, Yoshua Bengio

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Training Dynamical Binary Neural Networks with Equilibrium Propagation


Mar 16, 2021
Jérémie Laydevant, Maxence Ernoult, Damien Querlioz, Julie Grollier

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Synaptic metaplasticity in binarized neural networks


Jan 19, 2021
Axel Laborieux, Maxence Ernoult, Tifenn Hirtzlin, Damien Querlioz

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* Computational and Systems Neuroscience (Cosyne) 2021 
* 3 pages, 1 figure 

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Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing its Gradient Estimator Bias


Jan 14, 2021
Axel Laborieux, Maxence Ernoult, Benjamin Scellier, Yoshua Bengio, Julie Grollier, Damien Querlioz

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* NeurIPS 2020 Workshop : "Beyond Backpropagation Novel Ideas for Training Neural Architectures". arXiv admin note: substantial text overlap with arXiv:2006.03824 

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EqSpike: Spike-driven Equilibrium Propagation for Neuromorphic Implementations


Oct 15, 2020
Erwann Martin, Maxence Ernoult, Jérémie Laydevant, Shuai Li, Damien Querlioz, Teodora Petrisor, Julie Grollier

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Equilibrium Propagation with Continual Weight Updates


Apr 29, 2020
Maxence Ernoult, Julie Grollier, Damien Querlioz, Yoshua Bengio, Benjamin Scellier

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Continual Weight Updates and Convolutional Architectures for Equilibrium Propagation


Apr 29, 2020
Maxence Ernoult, Julie Grollier, Damien Querlioz, Yoshua Bengio, Benjamin Scellier

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Synaptic Metaplasticity in Binarized Neural Networks


Mar 07, 2020
Axel Laborieux, Maxence Ernoult, Tifenn Hirtzlin, Damien Querlioz

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Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input


May 31, 2019
Maxence Ernoult, Julie Grollier, Damien Querlioz, Yoshua Bengio, Benjamin Scellier

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