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Equilibrium Propagation with Continual Weight Updates

Equilibrium Propagation with Continual Weight Updates

29 April 2020
M. Ernoult
Julie Grollier
D. Querlioz
Yoshua Bengio
B. Scellier
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Papers citing "Equilibrium Propagation with Continual Weight Updates"

13 / 13 papers shown
Title
Equilibrium Propagation for Learning in Lagrangian Dynamical Systems
Equilibrium Propagation for Learning in Lagrangian Dynamical Systems
Serge Massar
31
0
0
12 May 2025
Analog In-memory Training on General Non-ideal Resistive Elements: The Impact of Response Functions
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
96
0
0
17 Feb 2025
Calibrating Neural Networks' parameters through Optimal Contraction in a
  Prediction Problem
Calibrating Neural Networks' parameters through Optimal Contraction in a Prediction Problem
Valdes Gonzalo
34
0
0
15 Jun 2024
Scaling SNNs Trained Using Equilibrium Propagation to Convolutional
  Architectures
Scaling SNNs Trained Using Equilibrium Propagation to Convolutional Architectures
Jiaqi Lin
Malyaban Bal
Abhronil Sengupta
42
2
0
04 May 2024
Improving equilibrium propagation without weight symmetry through
  Jacobian homeostasis
Improving equilibrium propagation without weight symmetry through Jacobian homeostasis
Axel Laborieux
Friedemann Zenke
30
7
0
05 Sep 2023
Flexible Phase Dynamics for Bio-Plausible Contrastive Learning
Flexible Phase Dynamics for Bio-Plausible Contrastive Learning
Ezekiel Williams
C. Bredenberg
Guillaume Lajoie
34
6
0
24 Feb 2023
Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic
  Neurons
Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic Neurons
R. Høier
D. Staudt
Christopher Zach
36
11
0
02 Feb 2023
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive
  Coding Networks
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
36
10
0
16 Nov 2022
Progressive Fusion for Multimodal Integration
Progressive Fusion for Multimodal Integration
Shiv Shankar
Laure Thompson
M. Fiterau
36
3
0
01 Sep 2022
Constrained Parameter Inference as a Principle for Learning
Constrained Parameter Inference as a Principle for Learning
Nasir Ahmad
Ellen Schrader
Marcel van Gerven
20
10
0
22 Mar 2022
Equilibrium Aggregation: Encoding Sets via Optimization
Equilibrium Aggregation: Encoding Sets via Optimization
Sergey Bartunov
F. Fuchs
Timothy Lillicrap
34
7
0
25 Feb 2022
SoftHebb: Bayesian Inference in Unsupervised Hebbian Soft
  Winner-Take-All Networks
SoftHebb: Bayesian Inference in Unsupervised Hebbian Soft Winner-Take-All Networks
Timoleon Moraitis
Dmitry Toichkin
Adrien Journé
Yansong Chua
Qinghai Guo
AAML
BDL
68
28
0
12 Jul 2021
Training Dynamical Binary Neural Networks with Equilibrium Propagation
Training Dynamical Binary Neural Networks with Equilibrium Propagation
Jérémie Laydevant
M. Ernoult
D. Querlioz
Julie Grollier
26
16
0
16 Mar 2021
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