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Introductory Notes on Learning$^2$

Siddharth, Sai et al.
arXiv (All) · Papers
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machine-learningnumerical-analysis
Although machine learning can be used to predict the evolution of physical systems from data, a formulation that learns only the system state at each time leaves the temporal and dynamical structure of the solution to be resolved within a broad hypothesis space. We introduce Learning$^2$, a represen
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