Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1808.04873
Cited By
Generalization of Equilibrium Propagation to Vector Field Dynamics
14 August 2018
B. Scellier
Anirudh Goyal
Jonathan Binas
Thomas Mesnard
Yoshua Bengio
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Generalization of Equilibrium Propagation to Vector Field Dynamics"
25 / 25 papers shown
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
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
MLT
FedML
369
1
0
23 May 2025
Equilibrium Propagation for Learning in Lagrangian Dynamical Systems
Physical Review E (Phys. Rev. E), 2025
Serge Massar
282
2
0
12 May 2025
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
International 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
Neural 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
International Conference on Machine Learning (ICML), 2023
R. Høier
D. Staudt
Christopher Zach
477
12
0
02 Feb 2023
Predictive Coding beyond Gaussian Distributions
Neural Information Processing Systems (NeurIPS), 2022
Luca Pinchetti
Tommaso Salvatori
Yordan Yordanov
Beren Millidge
Yuhang Song
Thomas Lukasiewicz
UQCV
BDL
244
18
0
07 Nov 2022
Sequence Learning Using Equilibrium Propagation
International 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
Neural Information Processing Systems (NeurIPS), 2022
Axel Laborieux
Friedemann Zenke
331
48
0
01 Sep 2022
Learning on Arbitrary Graph Topologies via Predictive Coding
Neural 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
Beren Millidge
A. Seth
Christopher L. Buckley
AI4CE
506
166
0
27 Jul 2021
Reverse Differentiation via Predictive Coding
AAAI 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
Nature Communications (Nat Commun), 2020
Alexander Ororbia
Daniel Kifer
GAN
517
79
0
07 Dec 2020
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
Beren Millidge
Alexander Tschantz
A. Seth
Christopher L. Buckley
156
0
0
13 Oct 2020
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
Beren Millidge
Alexander Tschantz
A. Seth
Christopher L. Buckley
ODL
354
18
0
11 Sep 2020
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
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
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
Jack D. Kendall
Ross D. Pantone
Kalpana Manickavasagam
Yoshua Bengio
B. Scellier
233
105
0
02 Jun 2020
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
Neural Information Processing Systems (NeurIPS), 2019
M. Ernoult
Julie Grollier
D. Querlioz
Yoshua Bengio
B. Scellier
218
49
0
31 May 2019
1
Page 1 of 1