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Scalable Variational Inference for Dynamical Systems

NeurIPS 2017 • Nico S. Gorbach • Stefan Bauer • Joachim M. Buhmann

Gradient matching is a promising tool for learning parameters and state dynamics of ordinary differential equations. It is a grid free inference approach, which, for fully observable systems is at times competitive with numerical integration... (read more)

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ngorbach/Variational_Gradient_Matching_for_Dynamical_Systems

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VARIATIONAL INFERENCE

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