Pages that link to "Item:Q2043422"
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The following pages link to Computing Lyapunov functions using deep neural networks (Q2043422):
Displaying 13 items.
- Evaluating Lyapunov exponent spectra with neural networks (Q400825) (← links)
- Computing the invariant distribution of randomly perturbed dynamical systems using deep learning (Q2149015) (← links)
- Approximation of Lyapunov functions from noisy data (Q2192453) (← links)
- Mini-workshop: Analysis of data-driven optimal control. Abstracts from the mini-workshop held May 9--15, 2021 (hybrid meeting) (Q2693004) (← links)
- Low-rank kernel approximation of Lyapunov functions using neural networks (Q2696116) (← links)
- Learning dynamical systems using local stability priors (Q2696118) (← links)
- A neural' network applied to tlie calculation of lyapunov exponents<sup>1</sup> (Q4853079) (← links)
- Efficient Construction of Neural Networks Lyapunov Functions with Domain of Attraction Maximization (Q6071216) (← links)
- Assessing the finite-time stability of nonlinear systems by means of physics-informed neural networks (Q6137812) (← links)
- Discovering efficient periodic behaviors in mechanical systems via neural approximators (Q6180273) (← links)
- Computing Lyapunov functions using deep neural networks (Q6340960) (← links)
- Solving optimal control problems governed by nonlinear PDEs using a multilevel method based on an artificial neural network (Q6602281) (← links)
- Mini-workshop: Nonlinear approximation of high-dimensional functions in scientific computing. Abstracts from the mini-workshop held October 15--20, 2023 (Q6613392) (← links)
