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
Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels Da Long Wei W. Xing Aditi S. Krishnapriyan R. Kirby Shandian Zhe Michael W. Mahoney 55 0 0 09 Oct 2023
Capturing Actionable Dynamics with Structured Latent Ordinary Differential Equations Paidamoyo Chapfuwa Sherri Rose Lawrence Carin Edward Meeds Ricardo Henao CML 42 1 0 25 Feb 2022
AutoIP: A United Framework to Integrate Physics into Gaussian Processes D. Long Ziyi Wang Aditi S. Krishnapriyan Robert M. Kirby Shandian Zhe Michael W. Mahoney AI4CE 95 15 0 24 Feb 2022
Adaptive Low-Pass Filtering using Sliding Window Gaussian Processes Alejandro Jose Ordóñez Conejo Armin Lederer Sandra Hirche 136 4 0 05 Nov 2021
Pick-and-Mix Information Operators for Probabilistic ODE Solvers Nathanael Bosch Filip Tronarp Philipp Hennig 71 10 0 20 Oct 2021
Variational multiple shooting for Bayesian ODEs with Gaussian processes Pashupati Hegde Çağatay Yıldız Harri Lähdesmäki Samuel Kaski Markus Heinonen 76 16 0 21 Jun 2021
Linear-Time Probabilistic Solutions of Boundary Value Problems Nicholas Kramer Philipp Hennig 45 1 0 14 Jun 2021
Neural graphical modelling in continuous-time: consistency guarantees and algorithms Alexis Bellot K. Branson M. Schaar CML AI4TS 91 46 0 06 May 2021
A Probabilistic State Space Model for Joint Inference from Differential Equations and Data Jonathan Schmidt Nicholas Kramer Philipp Hennig 95 24 0 18 Mar 2021
Structured learning of rigid-body dynamics: A survey and unified view from a robotics perspective A. R. Geist Sebastian Trimpe AI4CE 90 17 0 11 Dec 2020
Learning ODE Models with Qualitative Structure Using Gaussian Processes Steffen Ridderbusch Christian Offen Sina Ober-Blobaum Paul Goulart 67 15 0 10 Nov 2020
SLEIPNIR: Deterministic and Provably Accurate Feature Expansion for Gaussian Process Regression with Derivatives Emmanouil Angelis Philippe Wenk Bernhard Schölkopf Stefan Bauer Andreas Krause BDL 70 3 0 05 Mar 2020
Differentiable Likelihoods for Fast Inversion of 'Likelihood-Free' Dynamical Systems Hans Kersting N. Krämer Martin Schiegg Christian Daniel Michael Tiemann Philipp Hennig 70 21 0 21 Feb 2020