Search Results for author: Nico S. Gorbach

Found 3 papers, 1 papers with code

Scalable Variational Inference for Dynamical Systems

1 code implementation NeurIPS 2017 Nico S. Gorbach, Stefan Bauer, Joachim M. Buhmann

That is why, despite the high computational cost, numerical integration is still the gold standard in many applications.

Numerical Integration Variational Inference

Mean-Field Variational Inference for Gradient Matching with Gaussian Processes

no code implementations21 Oct 2016 Nico S. Gorbach, Stefan Bauer, Joachim M. Buhmann

The essence of gradient matching is to model the prior over state variables as a Gaussian process which implies that the joint distribution given the ODE's and GP kernels is also Gaussian distributed.

Gaussian Processes Variational Inference

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