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2004.10883
Cited By

Constrained Neural Ordinary Differential Equations with Stability
Guarantees

Constrained Neural Ordinary Differential Equations with Stability Guarantees

22 April 2020

ArXiv (abs)PDF HTML

Papers citing "Constrained Neural Ordinary Differential Equations with Stability Guarantees"

15 / 15 papers shown

Deep Neural Networks Inspired by Differential Equations

Deep Neural Networks Inspired by Differential Equations

247

1

0

09 Oct 2025

A Two-Stage Training Method for Modeling Constrained Systems With Neural
Networks

A Two-Stage Training Method for Modeling Constrained Systems With Neural Networks

218

2

0

05 Mar 2024

A Self-Adaptive Penalty Method for Integrating Prior Knowledge
Constraints into Neural ODEs

A Self-Adaptive Penalty Method for Integrating Prior Knowledge Constraints into Neural ODEs

268

1

0

27 Jul 2023

Physics-Informed Machine Learning for Modeling and Control of Dynamical
Systems

Physics-Informed Machine Learning for Modeling and Control of Dynamical SystemsAmerican Control Conference (ACC), 2023

Truong X. Nghiem

...

Melanie Zeilinger

Wenceslao Shaw-Cortez

302

69

0

24 Jun 2023

Eigen-informed NeuralODEs: Dealing with stability and convergence issues
of NeuralODEs

Eigen-informed NeuralODEs: Dealing with stability and convergence issues of NeuralODEs

Tobias Thummerer

124

4

0

07 Feb 2023

Unifying physical systems' inductive biases in neural ODE using dynamics
constraints

Unifying physical systems' inductive biases in neural ODE using dynamics constraints

174

6

0

03 Aug 2022

Neural Ordinary Differential Equations for Nonlinear System
Identification

Neural Ordinary Differential Equations for Nonlinear System IdentificationAmerican Control Conference (ACC), 2022

379

30

0

28 Feb 2022

Bounded nonlinear forecasts of partially observed geophysical systems
with physics-constrained deep learning

Bounded nonlinear forecasts of partially observed geophysical systems with physics-constrained deep learning

Steven L. Brunton

Bertrand Chapron

PINN AI4TS AI4CE

457

13

0

11 Feb 2022

On the Stochastic Stability of Deep Markov Models

On the Stochastic Stability of Deep Markov Models

Sayak Mukherjee

M. Halappanavar

358

10

0

08 Nov 2021

Deep Learning Explicit Differentiable Predictive Control Laws for
Buildings

Deep Learning Explicit Differentiable Predictive Control Laws for BuildingsIFAC-PapersOnLine (IFAC-PapersOnLine), 2021

Elliott Skomski

232

32

0

25 Jul 2021

Forecasting the outcome of spintronic experiments with Neural Ordinary
Differential Equations

Forecasting the outcome of spintronic experiments with Neural Ordinary Differential EquationsNature Communications (Nat Commun), 2021

Flavio Abreu Araujo

187

50

0

23 Jul 2021

Physics-Informed Neural State Space Models via Learning and Evolution

Physics-Informed Neural State Space Models via Learning and EvolutionConference on Learning for Dynamics & Control (L4DC), 2020

Elliott Skomski

260

13

0

26 Nov 2020

Dissipative Deep Neural Dynamical Systems

Dissipative Deep Neural Dynamical Systems

368

17

0

26 Nov 2020

Physics-constrained Deep Learning of Multi-zone Building Thermal
Dynamics

Physics-constrained Deep Learning of Multi-zone Building Thermal Dynamics

315

146

0

11 Nov 2020

Learning Dynamics Models with Stable Invariant Sets

Learning Dynamics Models with Stable Invariant Sets

Yoshinobu Kawahara

263

21

0

16 Jun 2020

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