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Generalization of Equilibrium Propagation to Vector Field Dynamics

Generalization of Equilibrium Propagation to Vector Field Dynamics

14 August 2018
B. Scellier
Anirudh Goyal
Jonathan Binas
Thomas Mesnard
Yoshua Bengio
ArXiv (abs)PDFHTML

Papers citing "Generalization of Equilibrium Propagation to Vector Field Dynamics"

25 / 25 papers shown
Equilibrium Propagation Without Limits
Equilibrium Propagation Without Limits
Elon Litman
73
0
0
27 Nov 2025
Toward Practical Equilibrium Propagation: Brain-inspired Recurrent Neural Network with Feedback Regulation and Residual Connections
Toward Practical Equilibrium Propagation: Brain-inspired Recurrent Neural Network with Feedback Regulation and Residual Connections
Zhuo Liu
Tao Chen
96
0
0
05 Aug 2025
Homeostatic Ubiquity of Hebbian Dynamics in Regularized Learning Rules
David Koplow
Tomaso Poggio
Liu Ziyin
MLTFedML
369
1
0
23 May 2025
Equilibrium Propagation for Learning in Lagrangian Dynamical Systems
Equilibrium Propagation for Learning in Lagrangian Dynamical SystemsPhysical Review E (Phys. Rev. E), 2025
Serge Massar
282
2
0
12 May 2025
A Review of Neuroscience-Inspired Machine Learning
A Review of Neuroscience-Inspired Machine Learning
Alexander Ororbia
A. Mali
Adam Kohan
Beren Millidge
Tommaso Salvatori
323
16
0
16 Feb 2024
Improving equilibrium propagation without weight symmetry through
  Jacobian homeostasis
Improving equilibrium propagation without weight symmetry through Jacobian homeostasisInternational Conference on Learning Representations (ICLR), 2023
Axel Laborieux
Friedemann Zenke
390
9
0
05 Sep 2023
Correlative Information Maximization: A Biologically Plausible Approach
  to Supervised Deep Neural Networks without Weight Symmetry
Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight SymmetryNeural Information Processing Systems (NeurIPS), 2023
Bariscan Bozkurt
Cengiz Pehlevan
A. Erdogan
287
4
0
07 Jun 2023
Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic
  Neurons
Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic NeuronsInternational Conference on Machine Learning (ICML), 2023
R. Høier
D. Staudt
Christopher Zach
477
12
0
02 Feb 2023
Predictive Coding beyond Gaussian Distributions
Predictive Coding beyond Gaussian DistributionsNeural Information Processing Systems (NeurIPS), 2022
Luca Pinchetti
Tommaso Salvatori
Yordan Yordanov
Beren Millidge
Yuhang Song
Thomas Lukasiewicz
UQCVBDL
244
18
0
07 Nov 2022
Sequence Learning Using Equilibrium Propagation
Sequence Learning Using Equilibrium PropagationInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Malyaban Bal
Abhronil Sengupta
353
10
0
14 Sep 2022
Holomorphic Equilibrium Propagation Computes Exact Gradients Through
  Finite Size Oscillations
Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size OscillationsNeural Information Processing Systems (NeurIPS), 2022
Axel Laborieux
Friedemann Zenke
331
48
0
01 Sep 2022
Learning on Arbitrary Graph Topologies via Predictive Coding
Learning on Arbitrary Graph Topologies via Predictive CodingNeural Information Processing Systems (NeurIPS), 2022
Tommaso Salvatori
Luca Pinchetti
Beren Millidge
Yuhang Song
Tianyi Bao
Rafal Bogacz
Thomas Lukasiewicz
430
44
0
31 Jan 2022
Predictive Coding: a Theoretical and Experimental Review
Predictive Coding: a Theoretical and Experimental Review
Beren Millidge
A. Seth
Christopher L. Buckley
AI4CE
506
166
0
27 Jul 2021
Reverse Differentiation via Predictive Coding
Reverse Differentiation via Predictive CodingAAAI Conference on Artificial Intelligence (AAAI), 2021
Tommaso Salvatori
Yuhang Song
Thomas Lukasiewicz
Rafal Bogacz
Zhenghua Xu
PINN
354
27
0
08 Mar 2021
The Neural Coding Framework for Learning Generative Models
The Neural Coding Framework for Learning Generative ModelsNature Communications (Nat Commun), 2020
Alexander Ororbia
Daniel Kifer
GAN
517
79
0
07 Dec 2020
EqSpike: Spike-driven Equilibrium Propagation for Neuromorphic
  Implementations
EqSpike: Spike-driven Equilibrium Propagation for Neuromorphic Implementations
Erwann Martin
M. Ernoult
Jérémie Laydevant
Shuai-shuai Li
D. Querlioz
Teodora Petrisor
Julie Grollier
412
57
0
15 Oct 2020
Investigating the Scalability and Biological Plausibility of the
  Activation Relaxation Algorithm
Investigating the Scalability and Biological Plausibility of the Activation Relaxation Algorithm
Beren Millidge
Alexander Tschantz
A. Seth
Christopher L. Buckley
156
0
0
13 Oct 2020
Relaxing the Constraints on Predictive Coding Models
Relaxing the Constraints on Predictive Coding Models
Beren Millidge
Alexander Tschantz
A. Seth
Christopher L. Buckley
256
24
0
02 Oct 2020
Activation Relaxation: A Local Dynamical Approximation to
  Backpropagation in the Brain
Activation Relaxation: A Local Dynamical Approximation to Backpropagation in the Brain
Beren Millidge
Alexander Tschantz
A. Seth
Christopher L. Buckley
ODL
354
18
0
11 Sep 2020
Equilibrium Propagation for Complete Directed Neural Networks
Equilibrium Propagation for Complete Directed Neural Networks
Matilde Tristany
S. Pequito
P. A. Santos
Mário A. T. Figueiredo
134
1
0
15 Jun 2020
Predictive Coding Approximates Backprop along Arbitrary Computation
  Graphs
Predictive Coding Approximates Backprop along Arbitrary Computation Graphs
Beren Millidge
Alexander Tschantz
Christopher L. Buckley
742
143
0
07 Jun 2020
Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing
  its Gradient Estimator Bias
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
243
91
0
06 Jun 2020
Training End-to-End Analog Neural Networks with Equilibrium Propagation
Training End-to-End Analog Neural Networks with Equilibrium Propagation
Jack D. Kendall
Ross D. Pantone
Kalpana Manickavasagam
Yoshua Bengio
B. Scellier
233
105
0
02 Jun 2020
Equilibrium Propagation with Continual Weight Updates
Equilibrium Propagation with Continual Weight Updates
M. Ernoult
Julie Grollier
D. Querlioz
Yoshua Bengio
B. Scellier
189
46
0
29 Apr 2020
Updates of Equilibrium Prop Match Gradients of Backprop Through Time in
  an RNN with Static Input
Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static InputNeural Information Processing Systems (NeurIPS), 2019
M. Ernoult
Julie Grollier
D. Querlioz
Yoshua Bengio
B. Scellier
218
49
0
31 May 2019
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