ODIN: ODE-Informed Regression for Parameter and State Inference in
Time-Continuous Dynamical Systems

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ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems

17 February 2019

Michael A. Osborne

Bernhard Schölkopf

Stefan Bauer

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Papers citing "ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems"

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Title
AReS and MaRS - Adversarial and MMD-Minimizing Regression for SDEs G. Abbati Philippe Wenk Michael A. Osborne Andreas Krause Bernhard Schölkopf Stefan Bauer DiffM 41 15 0 22 Feb 2019
Fast Gaussian Process Based Gradient Matching for Parameter Identification in Systems of Nonlinear ODEs Philippe Wenk Alkis Gotovos Stefan Bauer Nico S. Gorbach Andreas Krause J. M. Buhmann BDL 50 48 0 12 Apr 2018
Learning unknown ODE models with Gaussian processes Markus Heinonen Çağatay Yıldız Henrik Mannerstrom Jukka Intosalmi Harri Lähdesmäki 49 94 0 12 Mar 2018
Constraining the Dynamics of Deep Probabilistic Models Marco Lorenzi Maurizio Filippone 73 28 0 15 Feb 2018
Black-box Variational Inference for Stochastic Differential Equations Tom Ryder Andrew Golightly A. Mcgough D. Prangle 73 58 0 09 Feb 2018
Scalable Variational Inference for Dynamical Systems Nico S. Gorbach Stefan Bauer J. M. Buhmann BDL 48 49 0 19 May 2017
Reproducing kernel Hilbert space based estimation of systems of ordinary differential equations Javier I. González I. Vujačić Ernst C. Wit 80 37 0 14 Nov 2013