Cover Image

The Phase Is the Gradient: Equilibrium Propagation for Frequency Learning in Kuramoto Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Ahmadi, Mani Rash
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Dendritic Neural Networks with Equilibrium Propagation
by: Kubo, Yoshimasa
Published: (2026)

Quantum Equilibrium Propagation: Gradient-Descent Training of Quantum Systems
by: Scellier, Benjamin
Published: (2024)

Learning at the Speed of Physics: Equilibrium Propagation on Oscillator Ising Machines
by: Gower, Alex
Published: (2025)

Scaling Equilibrium Propagation to Deeper Neural Network Architectures
by: Elayedam, Sankar Vinayak, et al.
Published: (2025)

Equilibrium Propagation Without Limits
by: Litman, Elon
Published: (2025)

Learning Dynamics in Memristor-Based Equilibrium Propagation
by: Döll, Michael, et al.
Published: (2025)

Equilibrium Propagation for Learning in Lagrangian Dynamical Systems
by: Massar, Serge
Published: (2025)

Toward Lifelong Learning in Equilibrium Propagation: Sleep-like and Awake Rehearsal for Enhanced Stability
by: Kubo, Yoshimasa, et al.
Published: (2025)

StochEP: Stochastic Equilibrium Propagation for Spiking Convergent Recurrent Neural Networks
by: Lin, Jiaqi, et al.
Published: (2025)

Symmetric Equilibrium Propagation for Thermodynamic Diffusion Training
by: De, Aditi
Published: (2026)

Equilibrium Propagation and Hamiltonian Inference in the Diffusive Fitzhugh-Nagumo Model
by: Kendall, Jack
Published: (2026)

Lagrangian-based Equilibrium Propagation: generalisation to arbitrary boundary conditions & equivalence with Hamiltonian Echo Learning
by: Pourcel, Guillaume, et al.
Published: (2025)

Gradient Equilibrium in Online Learning: Theory and Applications
by: Angelopoulos, Anastasios N., et al.
Published: (2025)

Heterogeneous Time Constants Improve Stability in Equilibrium Propagation
by: Kubo, Yoshimasa, et al.
Published: (2026)

Textual Equilibrium Propagation for Deep Compound AI Systems
by: Chen, Minghui, et al.
Published: (2026)

Dependence of Equilibrium Propagation Training Success on Network Architecture
by: Wang, Qingshan, et al.
Published: (2026)

SAGE: Streaming Agreement-Driven Gradient Sketches for Representative Subset Selection
by: Jha, Ashish, et al.
Published: (2025)

Kuramoto Oscillatory Phase Encoding: Neuro-inspired Synchronization for Improved Learning Efficiency
by: Xiao, Mingqing, et al.
Published: (2026)

How to Train Your Resistive Network: Generalized Equilibrium Propagation and Analytical Learning
by: Lin, Jonathan, et al.
Published: (2026)

DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient Flows
by: Geuter, Jonathan, et al.
Published: (2025)

How Robust Are Energy-Based Models Trained With Equilibrium Propagation?
by: Mansingh, Siddharth, et al.
Published: (2024)

Equilibrium Propagation for Non-Conservative Systems
by: Scurria, Antonino Emanuele, et al.
Published: (2026)

Scalable Equilibrium Propagation via Intermediate Error Signals for Deep Convolutional CRNNs
by: Lin, Jiaqi, et al.
Published: (2025)

Parameter Symmetry and Noise Equilibrium of Stochastic Gradient Descent
by: Ziyin, Liu, et al.
Published: (2024)

Artificial Kuramoto Oscillatory Neurons
by: Miyato, Takeru, et al.
Published: (2024)

Dynamic Sheaf Diffusion Networks with Adaptive Local Structure for Heterogeneous Spatio-Temporal Graph Learning
by: Mostafa, Abeer, et al.
Published: (2026)

Accelerated Training through Iterative Gradient Propagation Along the Residual Path
by: Fagnou, Erwan, et al.
Published: (2025)

UniFi: Combining Irregularly Sampled CSI from Diverse Communication Packets and Frequency Bands for Wi-Fi Sensing
by: Dong, Gaofeng, et al.
Published: (2025)

A Neural Network for the Identical Kuramoto Equation: Architectural Considerations and Performance Evaluation
by: Panigrahi, Nishantak, et al.
Published: (2025)

Harnessing uncertainty when learning through Equilibrium Propagation in neural networks
by: Peters, Jonathan, et al.
Published: (2025)

Identifiability and amortized inference limitations in Kuramoto models
by: Hannula, Emma, et al.
Published: (2026)

Rotational Equilibrium: How Weight Decay Balances Learning Across Neural Networks
by: Kosson, Atli, et al.
Published: (2023)

Near-Equilibrium Propagation training in nonlinear wave systems
by: Sajnok, Karol, et al.
Published: (2025)

Equilibrium Selection in Multi-Agent Policy Gradients via Opponent-Aware Basin Entry
by: Shcherbinin, Yevhen, et al.
Published: (2026)

Leveraging Machine Learning and Deep Learning Techniques for Improved Pathological Staging of Prostate Cancer
by: Ghalamkarian, Raziehsadat, et al.
Published: (2025)

Robust Gradient Descent for Phase Retrieval
by: Buna, Alex, et al.
Published: (2024)

Kuramoto-FedAvg: Using Synchronization Dynamics to Improve Federated Learning Optimization under Statistical Heterogeneity
by: Muhebwa, Aggrey, et al.
Published: (2025)

PAF-Net: Phase-Aligned Frequency Decoupling Network for Multi-Process Manufacturing Quality Prediction
by: Luo, Yang, et al.
Published: (2025)

Toward Practical Equilibrium Propagation: Brain-inspired Recurrent Neural Network with Feedback Regulation and Residual Connections
by: Liu, Zhuo, et al.
Published: (2025)

LearnAD: Learning Interpretable Rules for Brain Networks in Alzheimer's Disease Classification
by: Andrews, Thomas, et al.
Published: (2025)