Copertina

Stability properties of Minimal Gated Unit neural networks

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	De Carli, Stefano, Previtali, Davide, Mazzoleni, Mirko, Previdi, Fabio
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Optimization and Control Systems and Control 68T07, 93D05, 37N35 I.2.6
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Chaos-Free Networks are Stable Recurrent Neural Networks
di: De Carli, Stefano, et al.
Pubblicazione: (2026)

On the Curse of Memory in Recurrent Neural Networks: Approximation and Optimization Analysis
di: Li, Zhong, et al.
Pubblicazione: (2020)

Learning time-scales in two-layers neural networks
di: Berthier, Raphaël, et al.
Pubblicazione: (2023)

Infinity-norm-based Input-to-State-Stable Long Short-Term Memory networks: a thermal systems perspective
di: De Carli, Stefano, et al.
Pubblicazione: (2025)

A Learning Stability Profile for Finite-Dimensional Learning Dynamics
di: Katende, Ronald
Pubblicazione: (2025)

Deep Relaxation of Controlled Stochastic Gradient Descent via Singular Perturbations
di: Bardi, Martino, et al.
Pubblicazione: (2022)

Deep Learning for Continuous-Time Stochastic Control with Jumps
di: Cheridito, Patrick, et al.
Pubblicazione: (2025)

Gradient descent provably escapes saddle points in the training of shallow ReLU networks
di: Cheridito, Patrick, et al.
Pubblicazione: (2022)

Fractional-Boundary-Regularized Deep Galerkin Method for Variational Inequalities in Mixed Optimal Stopping and Control
di: Zhao, Yun, et al.
Pubblicazione: (2025)

Dynamic Hybrid Modeling: Incremental Identification and Model Predictive Control
di: Caspari, Adrian, et al.
Pubblicazione: (2025)

RCUKF: Data-Driven Modeling Meets Bayesian Estimation
di: Anurag, Kumar, et al.
Pubblicazione: (2025)

Non-Convex Global Optimization as an Optimal Stabilization Problem: Convergence Rates
di: Huang, Yuyang, et al.
Pubblicazione: (2025)

Non-Convex Global Optimization as an Optimal Stabilization Problem: Dynamical Properties
di: Huang, Yuyang, et al.
Pubblicazione: (2025)

The Non-Linearity Perturbation Threshold: Width Scaling and Landscape Bifurcations in Deep Learning
di: Alexander, Michael
Pubblicazione: (2026)

System stabilization with policy optimization on unstable latent manifolds
di: Werner, Steffen W. R., et al.
Pubblicazione: (2024)

Adversarial Physics-Informed Machine Learning for Robust Optimal Safe Predefined-Time Stabilization: A Game-Theoretic Approach
di: Kokolakis, Nick-Marios T., et al.
Pubblicazione: (2025)

Data Augmentation and Regularization for Learning Group Equivariance
di: Nordenfors, Oskar, et al.
Pubblicazione: (2025)

Optimization Dynamics of Equivariant and Augmented Neural Networks
di: Nordenfors, Oskar, et al.
Pubblicazione: (2023)

Terminally constrained flow-based generative models from an optimal control perspective
di: Gao, Weiguo, et al.
Pubblicazione: (2026)

Cluster-based classification with neural ODEs via control
di: Álvarez-López, Antonio, et al.
Pubblicazione: (2023)

Performative Control for Linear Dynamical Systems
di: Cai, Songfu, et al.
Pubblicazione: (2024)

Non-Asymptotic Analysis of Projected Gradient Descent for Physics-Informed Neural Networks
di: Nießen, Jonas, et al.
Pubblicazione: (2025)

Structural Identifiability and Discrete Symmetries
di: Barreiro, Xabier Rey, et al.
Pubblicazione: (2025)

Separable Approximations of Optimal Value Functions and Their Representation by Neural Networks
di: Sperl, Mario, et al.
Pubblicazione: (2025)

Localmax dynamics for attention in transformers and its asymptotic behavior
di: Cimetière, Henri, et al.
Pubblicazione: (2025)

A Fully Data-Driven Value Iteration for Stochastic LQR: Convergence, Robustness and Stability
di: Cui, Leilei, et al.
Pubblicazione: (2025)

Distributed State Estimation for Linear Time-invariant Systems with Aperiodic Sampled Measurement
di: Wang, Shimin, et al.
Pubblicazione: (2022)

Duality of Stochastic Observability and Constructability and Links to Fisher Information
di: Boyacıoğlu, Burak, et al.
Pubblicazione: (2024)

Control randomisation approach for policy gradient and application to reinforcement learning in optimal switching
di: Denkert, Robert, et al.
Pubblicazione: (2024)

Equation-Free Coarse Control of Distributed Parameter Systems via Local Neural Operators
di: Fabiani, Gianluca, et al.
Pubblicazione: (2025)

Dynamic Mode Decomposition with Control Liouville Operators
di: Rosenfeld, Joel A., et al.
Pubblicazione: (2021)

Manifold limit for the training of shallow graph convolutional neural networks
di: Tengler, Johanna, et al.
Pubblicazione: (2026)

A Formal Analysis of Iterated TDD
di: Ruparel, Hemil, et al.
Pubblicazione: (2024)

Nonlinear port-Hamiltonian system identification from input-state-output data
di: Cherifi, Karim, et al.
Pubblicazione: (2025)

Nearly Optimal Chaotic Desynchronization of Neural Oscillators
di: Moehlis, Jeff, et al.
Pubblicazione: (2025)

Exact Controllability for a Refined Stochastic Hyperbolic Equation with Internal Controls
di: Li, Zengyu, et al.
Pubblicazione: (2025)

Exact Controllability for Stochastic First-Order Multi-Dimensional Hyperbolic Systems
di: Li, Zengyu, et al.
Pubblicazione: (2026)

Constructive Universal Approximation and Finite Sample Memorization by Narrow Deep ReLU Networks
di: Hernández, Martín, et al.
Pubblicazione: (2024)

Stabilization of monotone control systems with input constraints
di: Preuster, Till, et al.
Pubblicazione: (2026)

Correcting Stochastic Update Bias in Preconditioned Language Model Optimizers
di: Nayak, Nikhil, et al.
Pubblicazione: (2026)