Probabilistic Solutions To Ordinary Differential Equations As Non-Linear
Bayesian Filtering: A New Perspective

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Probabilistic Solutions To Ordinary Differential Equations As Non-Linear Bayesian Filtering: A New Perspective

8 October 2018

Simo Särkkä

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Papers citing "Probabilistic Solutions To Ordinary Differential Equations As Non-Linear Bayesian Filtering: A New Perspective"

13 / 13 papers shown

Title
Convergence Rates of Gaussian ODE Filters Hans Kersting T. Sullivan Philipp Hennig 92 39 0 25 Jul 2018
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 457 5,176 0 19 Jun 2018
Direct Runge-Kutta Discretization Achieves Acceleration J.N. Zhang Aryan Mokhtari S. Sra Ali Jadbabaie 137 109 0 01 May 2018
Bayesian Filtering for ODEs with Bounded Derivatives Emilia Magnani Hans Kersting Michael Schober Philipp Hennig 48 8 0 25 Sep 2017
Bayesian Probabilistic Numerical Methods Jon Cockayne Chris J. Oates T. Sullivan Mark Girolami 94 166 0 13 Feb 2017
Probabilistic Linear Multistep Methods Onur Teymur K. Zygalakis B. Calderhead 61 33 0 26 Oct 2016
A probabilistic model for the numerical solution of initial value problems Michael Schober Simo Särkkä Philipp Hennig 73 82 0 17 Oct 2016
Active Uncertainty Calibration in Bayesian ODE Solvers Hans Kersting Philipp Hennig 41 47 0 11 May 2016
Probabilistic Integration: A Role in Statistical Computation? François‐Xavier Briol Chris J. Oates Mark Girolami Michael A. Osborne Dino Sejdinovic 71 53 0 03 Dec 2015
Probabilistic Numerics and Uncertainty in Computations Philipp Hennig Michael A. Osborne Mark Girolami 76 307 0 03 Jun 2015
Probabilistic ODE Solvers with Runge-Kutta Means Michael Schober David Duvenaud Philipp Hennig 98 116 0 10 Jun 2014
Probabilistic Solutions to Differential Equations and their Application to Riemannian Statistics Philipp Hennig Søren Hauberg 100 54 0 03 Jun 2013
Iterated filtering E. Ionides A. Bhadra Yves F. Atchadé A. King 132 146 0 02 Feb 2009

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