Dependence of Equilibrium Propagation Training Success on Network Architecture
Fuente:
arXiv
Guardado en:
| Autores principales: | Wang, Qingshan, Wanjura, Clara C., Marquardt, Florian |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Training Coupled Phase Oscillators as a Neuromorphic Platform using Equilibrium Propagation
por: Wang, Qingshan, et al.
Publicado: (2024)
por: Wang, Qingshan, et al.
Publicado: (2024)
Quantum Equilibrium Propagation for efficient training of quantum systems based on Onsager reciprocity
por: Wanjura, Clara C., et al.
Publicado: (2024)
por: Wanjura, Clara C., et al.
Publicado: (2024)
Exploring Structural Nonlinearity in Binary Polariton-Based Neuromorphic Architectures
por: Sedov, Evgeny, et al.
Publicado: (2024)
por: Sedov, Evgeny, et al.
Publicado: (2024)
Training nonlinear optical neural networks with Scattering Backpropagation
por: Cin, Nicola Dal, et al.
Publicado: (2025)
por: Cin, Nicola Dal, et al.
Publicado: (2025)
A fully parallel densely connected probabilistic Ising machine with inertia for real-time applications
por: Zhu, Ruomin, et al.
Publicado: (2026)
por: Zhu, Ruomin, et al.
Publicado: (2026)
Learning Dynamics in Memristor-Based Equilibrium Propagation
por: Döll, Michael, et al.
Publicado: (2025)
por: Döll, Michael, et al.
Publicado: (2025)
Training and synchronizing oscillator networks with Equilibrium Propagation
por: Rageau, Théophile, et al.
Publicado: (2025)
por: Rageau, Théophile, et al.
Publicado: (2025)
A Fast Algorithm to Simulate Nonlinear Resistive Networks
por: Scellier, Benjamin
Publicado: (2024)
por: Scellier, Benjamin
Publicado: (2024)
Prototype Analysis in Hopfield Networks with Hebbian Learning
por: McAlister, Hayden, et al.
Publicado: (2024)
por: McAlister, Hayden, et al.
Publicado: (2024)
Random Features Hopfield Networks generalize retrieval to previously unseen examples
por: Kalaj, Silvio, et al.
Publicado: (2024)
por: Kalaj, Silvio, et al.
Publicado: (2024)
Nature-Inspired Local Propagation
por: Betti, Alessandro, et al.
Publicado: (2024)
por: Betti, Alessandro, et al.
Publicado: (2024)
Training Deep Boltzmann Networks with Sparse Ising Machines
por: Niazi, Shaila, et al.
Publicado: (2023)
por: Niazi, Shaila, et al.
Publicado: (2023)
Multimodal oscillator networks learn to solve a classification problem
por: de Bos, Daan, et al.
Publicado: (2025)
por: de Bos, Daan, et al.
Publicado: (2025)
How to Train Your Resistive Network: Generalized Equilibrium Propagation and Analytical Learning
por: Lin, Jonathan, et al.
Publicado: (2026)
por: Lin, Jonathan, et al.
Publicado: (2026)
Dropout Universality: Scaling Laws and Optimal Scheduling at the Edge-of-Chaos
por: Sarmiento, Lucas Fernandez
Publicado: (2026)
por: Sarmiento, Lucas Fernandez
Publicado: (2026)
Thermal Robustness of Retrieval in Dense Associative Memories: LSE vs LSR Kernels
por: Petrova, Tatiana
Publicado: (2026)
por: Petrova, Tatiana
Publicado: (2026)
Pruning-induced phases in fully-connected neural networks: the eumentia, the dementia, and the amentia
por: Pan, Haining, et al.
Publicado: (2026)
por: Pan, Haining, et al.
Publicado: (2026)
Recurrent Self-Attention Dynamics: An Energy-Agnostic Perspective from Jacobians
por: Tomihari, Akiyoshi, et al.
Publicado: (2025)
por: Tomihari, Akiyoshi, et al.
Publicado: (2025)
Supervised Hebbian Learning
por: Alemanno, Francesco, et al.
Publicado: (2022)
por: Alemanno, Francesco, et al.
Publicado: (2022)
Polychronous Wave Computing: Timing-Native Address Selection in Spiking Networks
por: Berloff, Natalila G.
Publicado: (2026)
por: Berloff, Natalila G.
Publicado: (2026)
Intrinsic Neuro-Synaptic Spiking Dynamics and Resonance in Memristive Networks
por: Xu, Yinhao, et al.
Publicado: (2026)
por: Xu, Yinhao, et al.
Publicado: (2026)
Unsupervised End-to-End Training with a Self-Defined Target
por: Liu, Dongshu, et al.
Publicado: (2024)
por: Liu, Dongshu, et al.
Publicado: (2024)
Training single-electron and single-photon stochastic physical neural networks
por: Dou, Tong, et al.
Publicado: (2026)
por: Dou, Tong, et al.
Publicado: (2026)
Online unsupervised Hebbian learning in deep photonic neuromorphic networks
por: Li, Xi, et al.
Publicado: (2026)
por: Li, Xi, et al.
Publicado: (2026)
Transductive Spiking Graph Neural Networks for Loihi
por: Snyder, Shay, et al.
Publicado: (2024)
por: Snyder, Shay, et al.
Publicado: (2024)
Deep Neuromorphic Networks with Superconducting Single Flux Quanta
por: Krylov, Gleb, et al.
Publicado: (2023)
por: Krylov, Gleb, et al.
Publicado: (2023)
Correspondence Between Ising Machines and Neural Networks
por: Moore, Andrew G.
Publicado: (2025)
por: Moore, Andrew G.
Publicado: (2025)
SpiNNaker2: A Large-Scale Neuromorphic System for Event-Based and Asynchronous Machine Learning
por: Gonzalez, Hector A., et al.
Publicado: (2024)
por: Gonzalez, Hector A., et al.
Publicado: (2024)
Approximation Theory for Neural Networks: Old and New
por: Mukherjee, Soumendu Sundar, et al.
Publicado: (2026)
por: Mukherjee, Soumendu Sundar, et al.
Publicado: (2026)
Predictive Coding Networks and Inference Learning: Tutorial and Survey
por: van Zwol, Björn, et al.
Publicado: (2024)
por: van Zwol, Björn, et al.
Publicado: (2024)
Predictive Coding Graphs are a Superset of Feedforward Neural Networks
por: van Zwol, Björn
Publicado: (2026)
por: van Zwol, Björn
Publicado: (2026)
How noise affects memory in linear recurrent networks
por: Guan, JingChuan, et al.
Publicado: (2024)
por: Guan, JingChuan, et al.
Publicado: (2024)
Signal-to-Noise Ratio and Sample Size Govern Representational Alignment in Neural Networks
por: Umar, Ali Hussaini, et al.
Publicado: (2026)
por: Umar, Ali Hussaini, et al.
Publicado: (2026)
DeepNose: An Equivariant Convolutional Neural Network Predictive Of Human Olfactory Percepts
por: Shuvaev, Sergey, et al.
Publicado: (2024)
por: Shuvaev, Sergey, et al.
Publicado: (2024)
Solving Sudoku using oscillatory neural networks
por: Haverkort, Bram F., et al.
Publicado: (2025)
por: Haverkort, Bram F., et al.
Publicado: (2025)
Geometric Theory of Ising Machines
por: Moore, Andrew G., et al.
Publicado: (2025)
por: Moore, Andrew G., et al.
Publicado: (2025)
SPICE Modeling of Memcomputing Logic Gates
por: Pershin, Y. V.
Publicado: (2023)
por: Pershin, Y. V.
Publicado: (2023)
Biologically-Informed Excitatory and Inhibitory Balance for Robust Spiking Neural Network Training
por: Kilgore, Joseph A., et al.
Publicado: (2024)
por: Kilgore, Joseph A., et al.
Publicado: (2024)
Efficient Computation Using Spatial-Photonic Ising Machines: Utilizing Low-Rank and Circulant Matrix Constraints
por: Wang, Richard Zhipeng, et al.
Publicado: (2024)
por: Wang, Richard Zhipeng, et al.
Publicado: (2024)
Physical Foundation Models: Fixed hardware implementations of large-scale neural networks
por: Wright, Logan G, et al.
Publicado: (2026)
por: Wright, Logan G, et al.
Publicado: (2026)
Ejemplares similares
-
Training Coupled Phase Oscillators as a Neuromorphic Platform using Equilibrium Propagation
por: Wang, Qingshan, et al.
Publicado: (2024) -
Quantum Equilibrium Propagation for efficient training of quantum systems based on Onsager reciprocity
por: Wanjura, Clara C., et al.
Publicado: (2024) -
Exploring Structural Nonlinearity in Binary Polariton-Based Neuromorphic Architectures
por: Sedov, Evgeny, et al.
Publicado: (2024) -
Training nonlinear optical neural networks with Scattering Backpropagation
por: Cin, Nicola Dal, et al.
Publicado: (2025) -
A fully parallel densely connected probabilistic Ising machine with inertia for real-time applications
por: Zhu, Ruomin, et al.
Publicado: (2026)