Training End-to-End Analog Neural Networks with Equilibrium Propagation

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Training End-to-End Analog Neural Networks with Equilibrium Propagation

2 June 2020

Jack D. Kendall

Ross D. Pantone

Kalpana Manickavasagam

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Papers citing "Training End-to-End Analog Neural Networks with Equilibrium Propagation"

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Title
Harnessing uncertainty when learning through Equilibrium Propagation in neural networks Jonathan Peters Philippe Talatchian 87 0 0 28 Mar 2025
Analog In-memory Training on General Non-ideal Resistive Elements: The Impact of Response Functions Zhaoxian Wu Quan Xian Tayfun Gokmen Omobayode Fagbohungbe Tianyi Chen 170 0 0 17 Feb 2025
Self-Contrastive Forward-Forward Algorithm Xing Chen Dongshu Liu Jérémie Laydevant Julie Grollier 149 2 0 17 Sep 2024
The Forward-Forward Algorithm as a feature extractor for skin lesion classification: A preliminary study Abel A. Reyes Angulo Sidike Paheding MedIm 61 2 0 02 Jul 2023
Training an Ising Machine with Equilibrium Propagation Jérémie Laydevant Danijela Marković Julie Grollier 88 34 0 22 May 2023
The Forward-Forward Algorithm: Some Preliminary Investigations Geoffrey E. Hinton 116 277 0 27 Dec 2022
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks Tommaso Salvatori Yuhang Song Yordan Yordanov Beren Millidge Zheng R. Xu Lei Sha Cornelius Emde Rafal Bogacz Thomas Lukasiewicz 99 13 0 16 Nov 2022
Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations Axel Laborieux Friedemann Zenke 106 37 0 01 Sep 2022
Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning Beren Millidge Yuhang Song Tommaso Salvatori Thomas Lukasiewicz Rafal Bogacz 86 22 0 31 May 2022
Beyond backpropagation: bilevel optimization through implicit differentiation and equilibrium propagation Nicolas Zucchet João Sacramento 99 16 0 06 May 2022
Learning on Arbitrary Graph Topologies via Predictive Coding Tommaso Salvatori Luca Pinchetti Beren Millidge Yuhang Song Tianyi Bao Rafal Bogacz Thomas Lukasiewicz 115 37 0 31 Jan 2022
Training Dynamical Binary Neural Networks with Equilibrium Propagation Jérémie Laydevant M. Ernoult D. Querlioz Julie Grollier 81 16 0 16 Mar 2021
EqSpike: Spike-driven Equilibrium Propagation for Neuromorphic Implementations Erwann Martin M. Ernoult Jérémie Laydevant Shuai-shuai Li D. Querlioz Teodora Petrisor Julie Grollier 86 52 0 15 Oct 2020
Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing its Gradient Estimator Bias Axel Laborieux M. Ernoult B. Scellier Yoshua Bengio Julie Grollier D. Querlioz 76 75 0 06 Jun 2020
TxSim:Modeling Training of Deep Neural Networks on Resistive Crossbar Systems Sourjya Roy S. Sridharan Shubham Jain A. Raghunathan 70 44 0 25 Feb 2020