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Equilibrium Propagation for Learning in Lagrangian Dynamical Systems
v1v2v3 (latest)

Equilibrium Propagation for Learning in Lagrangian Dynamical Systems

Physical Review E (Phys. Rev. E), 2025
12 May 2025
Serge Massar
ArXiv (abs)PDFHTML

Papers citing "Equilibrium Propagation for Learning in Lagrangian Dynamical Systems"

13 / 13 papers shown
Quantum Equilibrium Propagation for efficient training of quantum
  systems based on Onsager reciprocity
Quantum Equilibrium Propagation for efficient training of quantum systems based on Onsager reciprocity
C. C. Wanjura
Florian Marquardt
253
3
0
10 Jun 2024
Quantum Equilibrium Propagation: Gradient-Descent Training of Quantum
  Systems
Quantum Equilibrium Propagation: Gradient-Descent Training of Quantum Systems
Benjamin Scellier
260
5
0
02 Jun 2024
Equilibrium Propagation: the Quantum and the Thermal Cases
Equilibrium Propagation: the Quantum and the Thermal CasesQuantum Studies: Mathematics and Foundations (QSMF), 2024
Serge Massar
B. Mognetti
202
4
0
14 May 2024
Energy-based learning algorithms for analog computing: a comparative
  study
Energy-based learning algorithms for analog computing: a comparative study
B. Scellier
M. Ernoult
Jack D. Kendall
Suhas Kumar
283
44
0
22 Dec 2023
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
318
48
0
01 Sep 2022
A deep learning theory for neural networks grounded in physics
A deep learning theory for neural networks grounded in physics
B. Scellier
PINNAI4CE
149
34
0
18 Mar 2021
Self-learning Machines based on Hamiltonian Echo Backpropagation
Self-learning Machines based on Hamiltonian Echo BackpropagationPhysical Review X (PRX), 2021
V. López-Pastor
F. Marquardt
297
45
0
08 Mar 2021
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
378
57
0
15 Oct 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
242
90
0
06 Jun 2020
Equilibrium Propagation with Continual Weight Updates
Equilibrium Propagation with Continual Weight Updates
M. Ernoult
Julie Grollier
D. Querlioz
Yoshua Bengio
B. Scellier
171
45
0
29 Apr 2020
Generalization of Equilibrium Propagation to Vector Field Dynamics
Generalization of Equilibrium Propagation to Vector Field Dynamics
B. Scellier
Anirudh Goyal
Jonathan Binas
Thomas Mesnard
Yoshua Bengio
141
35
0
14 Aug 2018
Equilibrium Propagation: Bridging the Gap Between Energy-Based Models
  and Backpropagation
Equilibrium Propagation: Bridging the Gap Between Energy-Based Models and Backpropagation
B. Scellier
Yoshua Bengio
372
567
0
16 Feb 2016
Trainable and Dynamic Computing: Error Backpropagation through Physical
  Media
Trainable and Dynamic Computing: Error Backpropagation through Physical MediaNature Communications (Nat Commun), 2014
Michiel Hermans
M. Burm
J. Dambre
P. Bienstman
PINN
154
65
0
24 Jul 2014
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