Imagen de Portada

Homotopy-based training of NeuralODEs for accurate dynamics discovery

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Ko, Joon-Hyuk, Koh, Hankyul, Park, Nojun, Jhe, Wonho
Formato:	Preprint
Publicado:	2022
Materias:	Machine Learning Dynamical Systems Optimization and Control Applied Physics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

A comprehensive semi-automated fabrication system for quartz tuning fork AFM probe with real-time resonance frequency monitoring and Q-factor control
por: Koh, Hankyul, et al.
Publicado: (2026)

Moderate Adaptive Linear Units (MoLU)
por: Koh, Hankyul, et al.
Publicado: (2023)

Learning Dissipative Neural Dynamical Systems
por: Xu, Yuezhu, et al.
Publicado: (2023)

Neural Operators for Predictor Feedback Control of Nonlinear Delay Systems
por: Bhan, Luke, et al.
Publicado: (2024)

Stability properties of gradient flow dynamics for the symmetric low-rank matrix factorization problem
por: Mohammadi, Hesameddin, et al.
Publicado: (2024)

Expressivity of Quadratic Neural ODEs
por: Hanson, Joshua, et al.
Publicado: (2025)

Safe and Robust Domains of Attraction for Discrete-Time Systems: A Set-Based Characterization and Certifiable Neural Network Estimation
por: Serry, Mohamed, et al.
Publicado: (2026)

Lyapunov based dynamic controller designs for reach-and-avoid problems
por: Lanza, Lukas, et al.
Publicado: (2024)

Generalized replicator dynamics based on mean-field pairwise comparison dynamic
por: Yoshioka, Hidekazu
Publicado: (2024)

Tradeoffs between convergence rate and noise amplification for momentum-based accelerated optimization algorithms
por: Mohammadi, Hesameddin, et al.
Publicado: (2022)

Symmetric Hermite quadrature-based balanced truncation for learning linear dynamical systems from derivative data
por: Reiter, Sean, et al.
Publicado: (2026)

Nonlinear Dynamics In Optimization Landscape of Shallow Neural Networks with Tunable Leaky ReLU
por: Liu, Jingzhou
Publicado: (2025)

From NeurODEs to AutoencODEs: a mean-field control framework for width-varying Neural Networks
por: Cipriani, Cristina, et al.
Publicado: (2023)

Quantitative Flow Approximation Properties of Narrow Neural ODEs
por: Elamvazhuthi, Karthik
Publicado: (2025)

Analysis of a continuous opinion and discrete action dynamics model coupled with an external observation dynamics
por: Couthures, Anthony, et al.
Publicado: (2024)

Online Optimization and Ambiguity-based Learning of Distributionally Uncertain Dynamic Systems
por: Li, Dan, et al.
Publicado: (2021)

Certified Robust Invariant Polytope Training in Neural Controlled ODEs
por: Harapanahalli, Akash, et al.
Publicado: (2024)

Rademacher Complexity of Neural ODEs via Chen-Fliess Series
por: Hanson, Joshua, et al.
Publicado: (2024)

Control of Medical Digital Twins with Artificial Neural Networks
por: Böttcher, Lucas, et al.
Publicado: (2024)

Kalman-based approaches for online estimation of bioreactor dynamics from fluorescent reporter measurements
por: Asswad, Rand, et al.
Publicado: (2024)

On the dynamic behavior of the network SIRS epidemic model
por: Gatti, Giulia, et al.
Publicado: (2026)

Watch your neighbors: Training statistically accurate chaotic systems with local phase space information
por: Ko, Joon-Hyuk, et al.
Publicado: (2026)

Adaptive Neural-Operator Backstepping Control of a Benchmark Hyperbolic PDE
por: Lamarque, Maxence, et al.
Publicado: (2024)

Gain Scheduling with a Neural Operator for a Transport PDE with Nonlinear Recirculation
por: Lamarque, Maxence, et al.
Publicado: (2024)

Dynamical Measure Transport and Neural PDE Solvers for Sampling
por: Sun, Jingtong, et al.
Publicado: (2024)

Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems
por: Shin, Sungho, et al.
Publicado: (2022)

SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning
por: Zolman, Nicholas, et al.
Publicado: (2024)

Data-driven Nonlinear Model Reduction using Koopman Theory: Integrated Control Form and NMPC Case Study
por: Schulze, Jan C., et al.
Publicado: (2024)

Observability conditions for neural state-space models with eigenvalues and their roots of unity
por: Gracyk, Andrew
Publicado: (2025)

Safely Learning Dynamical Systems
por: Ahmadi, Amir Ali, et al.
Publicado: (2023)

From exponential to finite/fixed-time stability: Applications to optimization
por: Ozaslan, Ibrahim K., et al.
Publicado: (2024)

Identifiability of Differential-Algebraic Systems
por: Montanari, Arthur N., et al.
Publicado: (2024)

On identifying the non-linear dynamics of a hovercraft using an end-to-end deep learning approach
por: Schwan, Roland, et al.
Publicado: (2024)

Negative Imaginary Neural ODEs: Learning to Control Mechanical Systems with Stability Guarantees
por: Shi, Kanghong, et al.
Publicado: (2025)

Epidemic Population Games And Perturbed Best Response Dynamics
por: Park, Shinkyu, et al.
Publicado: (2024)

Singular perturbation in heavy ball dynamics
por: Josz, Cedric, et al.
Publicado: (2024)

Neural Hamiltonian Operator
por: Qi, Qian
Publicado: (2025)

Evaluating the design space of diffusion-based generative models
por: Wang, Yuqing, et al.
Publicado: (2024)

Risk averse deterministic Kalman filters for uncertain dynamical systems
por: Kunisch, Karl, et al.
Publicado: (2025)

Generalized TCP-RED dynamical model for Internet congestion control
por: Amigó, José M., et al.
Publicado: (2025)