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Universal set of Observables for Forecasting Physical Systems through Causal Embedding

Manjunath, G et al.
arXiv (All) · Papers
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dynamical-systemsmachine-learning
We show how a pair of points can uniquely represent a left-infinite sequence obtained from observations of an underlying dynamical system through a phenomenon called \textit{causal embedding}. A driven dynamical system creates such pairs, and a function can be learnt on them that can reconstruct the
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