Learning Stochastic Differential Equations With Gaussian Processes
Without Gradient Matching

Learning Stochastic Differential Equations With Gaussian Processes Without Gradient Matching

16 July 2018

Çağatay Yıldız

Markus Heinonen

Jukka Intosalmi

Henrik Mannerstrom

Harri Lähdesmäki

Papers citing "Learning Stochastic Differential Equations With Gaussian Processes Without Gradient Matching"

5 / 5 papers shown

Title
Learning unknown ODE models with Gaussian processes Markus Heinonen Çağatay Yıldız Henrik Mannerstrom Jukka Intosalmi Harri Lähdesmäki 41 94 0 12 Mar 2018
Non-parametric Estimation of Stochastic Differential Equations with Sparse Gaussian Processes C. A. García A. Otero P. Félix J. Presedo David G. Márquez 32 36 0 14 Apr 2017
Approximate Bayes learning of stochastic differential equations Philipp Batz Andreas Ruttor Manfred Opper 39 43 0 17 Feb 2017
Gaussian Processes for Big Data J. Hensman Nicolò Fusi Neil D. Lawrence GP 96 1,226 0 26 Sep 2013
Kernels for Vector-Valued Functions: a Review Mauricio A. Alvarez Lorenzo Rosasco Neil D. Lawrence GP 171 918 0 30 Jun 2011