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Petar Bevanda, Max Beier, Alexandre Capone, Stefan Sosnowski, Sandra Hirche, and Armin Lederer proposed a family of Gaussian processes for dynamical systems with linear time-invariant responses that are nonlinear only in initial conditions, which allows for tractable quantification of forecasting and representational uncertainty.

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