Saved in:
| Main Author: | Kendall, Jack |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.21568 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Symmetric Equilibrium Propagation for Thermodynamic Diffusion Training
by: De, Aditi
Published: (2026)
by: De, Aditi
Published: (2026)
Hopf Bifurcation in the Delayed Fitzhugh–Nagumo Model With Quasi‐Laplacian Network
by: Zhan Shen, et al.
Published: (2025)
by: Zhan Shen, et al.
Published: (2025)
Noise induced extreme events in single Fitzhugh-Nagumo oscillator
by: Hariharan, S., et al.
Published: (2025)
by: Hariharan, S., et al.
Published: (2025)
Lagrangian-based Equilibrium Propagation: generalisation to arbitrary boundary conditions & equivalence with Hamiltonian Echo Learning
by: Pourcel, Guillaume, et al.
Published: (2025)
by: Pourcel, Guillaume, et al.
Published: (2025)
Spectral Optimized Multiderivative Hybrid Block Method for Fitzhugh–Nagumo Equations
by: Uthman O. Rufai, et al.
Published: (2025)
by: Uthman O. Rufai, et al.
Published: (2025)
Dendritic Neural Networks with Equilibrium Propagation
by: Kubo, Yoshimasa
Published: (2026)
by: Kubo, Yoshimasa
Published: (2026)
Equilibrium Propagation Without Limits
by: Litman, Elon
Published: (2025)
by: Litman, Elon
Published: (2025)
Signal selective amplification for below-the-threshold stimulus in Fitzhugh-Nagumo neuronal model
by: Sorokina, Mariia
Published: (2024)
by: Sorokina, Mariia
Published: (2024)
Translation Invariance of Neural Operators for the FitzHugh-Nagumo Model
by: Pellegrini, Luca
Published: (2026)
by: Pellegrini, Luca
Published: (2026)
The Phase Is the Gradient: Equilibrium Propagation for Frequency Learning in Kuramoto Networks
by: Ahmadi, Mani Rash
Published: (2026)
by: Ahmadi, Mani Rash
Published: (2026)
Learning at the Speed of Physics: Equilibrium Propagation on Oscillator Ising Machines
by: Gower, Alex
Published: (2025)
by: Gower, Alex
Published: (2025)
How Robust Are Energy-Based Models Trained With Equilibrium Propagation?
by: Mansingh, Siddharth, et al.
Published: (2024)
by: Mansingh, Siddharth, et al.
Published: (2024)
Heterogeneous Time Constants Improve Stability in Equilibrium Propagation
by: Kubo, Yoshimasa, et al.
Published: (2026)
by: Kubo, Yoshimasa, et al.
Published: (2026)
Textual Equilibrium Propagation for Deep Compound AI Systems
by: Chen, Minghui, et al.
Published: (2026)
by: Chen, Minghui, et al.
Published: (2026)
Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models
by: Sharrock, Louis, et al.
Published: (2022)
by: Sharrock, Louis, et al.
Published: (2022)
Scaling Equilibrium Propagation to Deeper Neural Network Architectures
by: Elayedam, Sankar Vinayak, et al.
Published: (2025)
by: Elayedam, Sankar Vinayak, et al.
Published: (2025)
Diffusion-HMC: Parameter Inference with Diffusion-model-driven Hamiltonian Monte Carlo
by: Mudur, Nayantara, et al.
Published: (2024)
by: Mudur, Nayantara, et al.
Published: (2024)
Learning Dynamics in Memristor-Based Equilibrium Propagation
by: Döll, Michael, et al.
Published: (2025)
by: Döll, Michael, et al.
Published: (2025)
Quantifying Error Propagation and Model Collapse in Diffusion Models
by: Khelifa, Nail B., et al.
Published: (2026)
by: Khelifa, Nail B., et al.
Published: (2026)
Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models
by: Wang, Zun, et al.
Published: (2024)
by: Wang, Zun, et al.
Published: (2024)
Equilibrium Propagation for Learning in Lagrangian Dynamical Systems
by: Massar, Serge
Published: (2025)
by: Massar, Serge
Published: (2025)
On Error Propagation of Diffusion Models
by: Li, Yangming, et al.
Published: (2023)
by: Li, Yangming, et al.
Published: (2023)
Equilibrium Propagation for Non-Conservative Systems
by: Scurria, Antonino Emanuele, et al.
Published: (2026)
by: Scurria, Antonino Emanuele, et al.
Published: (2026)
Toward Lifelong Learning in Equilibrium Propagation: Sleep-like and Awake Rehearsal for Enhanced Stability
by: Kubo, Yoshimasa, et al.
Published: (2025)
by: Kubo, Yoshimasa, et al.
Published: (2025)
Scalable Equilibrium Propagation via Intermediate Error Signals for Deep Convolutional CRNNs
by: Lin, Jiaqi, et al.
Published: (2025)
by: Lin, Jiaqi, et al.
Published: (2025)
StochEP: Stochastic Equilibrium Propagation for Spiking Convergent Recurrent Neural Networks
by: Lin, Jiaqi, et al.
Published: (2025)
by: Lin, Jiaqi, et al.
Published: (2025)
Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models
by: Lai, Jinlin, et al.
Published: (2024)
by: Lai, Jinlin, et al.
Published: (2024)
Near-Equilibrium Propagation training in nonlinear wave systems
by: Sajnok, Karol, et al.
Published: (2025)
by: Sajnok, Karol, et al.
Published: (2025)
Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference
by: Reiser, Philipp, et al.
Published: (2023)
by: Reiser, Philipp, et al.
Published: (2023)
Harnessing uncertainty when learning through Equilibrium Propagation in neural networks
by: Peters, Jonathan, et al.
Published: (2025)
by: Peters, Jonathan, et al.
Published: (2025)
Quantum Equilibrium Propagation: Gradient-Descent Training of Quantum Systems
by: Scellier, Benjamin
Published: (2024)
by: Scellier, Benjamin
Published: (2024)
Revisiting Pre-Propagation GNNs: Robust Diffusion Operators and Hidden-State Re-Propagation
by: Yue, Zichao, et al.
Published: (2026)
by: Yue, Zichao, et al.
Published: (2026)
Circular Belief Propagation for Approximate Probabilistic Inference
by: Bouttier, Vincent, et al.
Published: (2024)
by: Bouttier, Vincent, et al.
Published: (2024)
Dependence of Equilibrium Propagation Training Success on Network Architecture
by: Wang, Qingshan, et al.
Published: (2026)
by: Wang, Qingshan, et al.
Published: (2026)
TrajWeaver: Trajectory Recovery with State Propagation Diffusion Model
by: Wang, Jinming, et al.
Published: (2024)
by: Wang, Jinming, et al.
Published: (2024)
Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks
by: Heilig, Simon, et al.
Published: (2024)
by: Heilig, Simon, et al.
Published: (2024)
Towards General Preference Alignment: Diffusion Models at Nash Equilibrium
by: Hu, Jiaming, et al.
Published: (2026)
by: Hu, Jiaming, et al.
Published: (2026)
One-Step Diffusion Distillation via Deep Equilibrium Models
by: Geng, Zhengyang, et al.
Published: (2023)
by: Geng, Zhengyang, et al.
Published: (2023)
Quantum Maximum Entropy Inference and Hamiltonian Learning
by: Gao, Minbo, et al.
Published: (2024)
by: Gao, Minbo, et al.
Published: (2024)
Load--Reserve Wasserstein Propagation for Isotropic Diffusion Samplers
by: Lyu, Zicheng, et al.
Published: (2026)
by: Lyu, Zicheng, et al.
Published: (2026)
Similar Items
-
Symmetric Equilibrium Propagation for Thermodynamic Diffusion Training
by: De, Aditi
Published: (2026) -
Hopf Bifurcation in the Delayed Fitzhugh–Nagumo Model With Quasi‐Laplacian Network
by: Zhan Shen, et al.
Published: (2025) -
Noise induced extreme events in single Fitzhugh-Nagumo oscillator
by: Hariharan, S., et al.
Published: (2025) -
Lagrangian-based Equilibrium Propagation: generalisation to arbitrary boundary conditions & equivalence with Hamiltonian Echo Learning
by: Pourcel, Guillaume, et al.
Published: (2025) -
Spectral Optimized Multiderivative Hybrid Block Method for Fitzhugh–Nagumo Equations
by: Uthman O. Rufai, et al.
Published: (2025)