Image de couverture de livre

Equilibrium Propagation and Hamiltonian Inference in the Diffusive Fitzhugh-Nagumo Model

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Kendall, Jack
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Symmetric Equilibrium Propagation for Thermodynamic Diffusion Training
par: De, Aditi
Publié: (2026)

Lagrangian-based Equilibrium Propagation: generalisation to arbitrary boundary conditions & equivalence with Hamiltonian Echo Learning
par: Pourcel, Guillaume, et autres
Publié: (2025)

Hopf Bifurcation in the Delayed Fitzhugh–Nagumo Model With Quasi‐Laplacian Network
par: Zhan Shen, et autres
Publié: (2025)

Noise induced extreme events in single Fitzhugh-Nagumo oscillator
par: Hariharan, S., et autres
Publié: (2025)

Dendritic Neural Networks with Equilibrium Propagation
par: Kubo, Yoshimasa
Publié: (2026)

Spectral Optimized Multiderivative Hybrid Block Method for Fitzhugh–Nagumo Equations
par: Uthman O. Rufai, et autres
Publié: (2025)

Equilibrium Propagation Without Limits
par: Litman, Elon
Publié: (2025)

Signal selective amplification for below-the-threshold stimulus in Fitzhugh-Nagumo neuronal model
par: Sorokina, Mariia
Publié: (2024)

Translation Invariance of Neural Operators for the FitzHugh-Nagumo Model
par: Pellegrini, Luca
Publié: (2026)

The Phase Is the Gradient: Equilibrium Propagation for Frequency Learning in Kuramoto Networks
par: Ahmadi, Mani Rash
Publié: (2026)

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

How Robust Are Energy-Based Models Trained With Equilibrium Propagation?
par: Mansingh, Siddharth, et autres
Publié: (2024)

Heterogeneous Time Constants Improve Stability in Equilibrium Propagation
par: Kubo, Yoshimasa, et autres
Publié: (2026)

Textual Equilibrium Propagation for Deep Compound AI Systems
par: Chen, Minghui, et autres
Publié: (2026)

Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models
par: Sharrock, Louis, et autres
Publié: (2022)

Quantifying Error Propagation and Model Collapse in Diffusion Models
par: Khelifa, Nail B., et autres
Publié: (2026)

Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models
par: Wang, Zun, et autres
Publié: (2024)

Diffusion-HMC: Parameter Inference with Diffusion-model-driven Hamiltonian Monte Carlo
par: Mudur, Nayantara, et autres
Publié: (2024)

Scaling Equilibrium Propagation to Deeper Neural Network Architectures
par: Elayedam, Sankar Vinayak, et autres
Publié: (2025)

Learning Dynamics in Memristor-Based Equilibrium Propagation
par: Döll, Michael, et autres
Publié: (2025)

On Error Propagation of Diffusion Models
par: Li, Yangming, et autres
Publié: (2023)

Toward Lifelong Learning in Equilibrium Propagation: Sleep-like and Awake Rehearsal for Enhanced Stability
par: Kubo, Yoshimasa, et autres
Publié: (2025)

Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models
par: Lai, Jinlin, et autres
Publié: (2024)

Equilibrium Propagation for Learning in Lagrangian Dynamical Systems
par: Massar, Serge
Publié: (2025)

Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference
par: Reiser, Philipp, et autres
Publié: (2023)

Equilibrium Propagation for Non-Conservative Systems
par: Scurria, Antonino Emanuele, et autres
Publié: (2026)

Scalable Equilibrium Propagation via Intermediate Error Signals for Deep Convolutional CRNNs
par: Lin, Jiaqi, et autres
Publié: (2025)

StochEP: Stochastic Equilibrium Propagation for Spiking Convergent Recurrent Neural Networks
par: Lin, Jiaqi, et autres
Publié: (2025)

Revisiting Pre-Propagation GNNs: Robust Diffusion Operators and Hidden-State Re-Propagation
par: Yue, Zichao, et autres
Publié: (2026)

Harnessing uncertainty when learning through Equilibrium Propagation in neural networks
par: Peters, Jonathan, et autres
Publié: (2025)

Circular Belief Propagation for Approximate Probabilistic Inference
par: Bouttier, Vincent, et autres
Publié: (2024)

Near-Equilibrium Propagation training in nonlinear wave systems
par: Sajnok, Karol, et autres
Publié: (2025)

TrajWeaver: Trajectory Recovery with State Propagation Diffusion Model
par: Wang, Jinming, et autres
Publié: (2024)

Optimal Inference Schedules for Masked Diffusion Models
par: Chen, Sitan, et autres
Publié: (2025)

How Out-of-Equilibrium Phase Transitions can Seed Pattern Formation in Trained Diffusion Models
par: Ambrogioni, Luca
Publié: (2026)

Load--Reserve Wasserstein Propagation for Isotropic Diffusion Samplers
par: Lyu, Zicheng, et autres
Publié: (2026)

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

Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks
par: Heilig, Simon, et autres
Publié: (2024)

Reversible Deep Equilibrium Models
par: McCallum, Sam, et autres
Publié: (2025)

Quantum Maximum Entropy Inference and Hamiltonian Learning
par: Gao, Minbo, et autres
Publié: (2024)