most citedStabilizing Machine Learning Prediction of Dynamics: Noise and Noise-inspired Regularization

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2022★ 2 cited

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

Alexander Wikner, Joseph Harvey, Michelle Girvan +4

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…