A noise-separating SINDy autoencoder recovers interpretable latent dynamics and estimates measurement noise from noisy Lorenz observations.
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Dynamics-encoded deep learning approaches are developed for system identification and parameter estimation in dynamical systems using numerical discretization schemes.
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A Robust SINDy Autoencoder for Noisy Dynamical System Identification
A noise-separating SINDy autoencoder recovers interpretable latent dynamics and estimates measurement noise from noisy Lorenz observations.
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Dynamics-Encoded Deep Learning for Robust System Identification and Parameter Estimation
Dynamics-encoded deep learning approaches are developed for system identification and parameter estimation in dynamical systems using numerical discretization schemes.