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2006.01981
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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
Yoshua Bengio
B. Scellier
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Papers citing
"Training End-to-End Analog Neural Networks with Equilibrium Propagation"
15 / 15 papers shown
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
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