A variational autoencoder learns the hidden bifurcation parameter from time-series data, and a reservoir computer uses it to predict critical transitions in Lorenz, Kuramoto-Sivashinsky, and food-chain systems.
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Unsupervised learning for anticipating critical transitions
A variational autoencoder learns the hidden bifurcation parameter from time-series data, and a reservoir computer uses it to predict critical transitions in Lorenz, Kuramoto-Sivashinsky, and food-chain systems.