Antonsen, Thomas

Stabilizing Machine Learning Prediction of Dynamics: Noise and Noise-inspired Regularization

2022 · arXiv (Cornell University)

Recent work has shown that machine learning (ML) models can be trained to accurately forecast the dynamics of unknown chaotic dynamical systems. Short-term predictions of the state evolution and long-term predictions of the statistical patterns …