Reproducing kernel Hilbert space based estimation of systems of ordinary
differential equations

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Reproducing kernel Hilbert space based estimation of systems of ordinary differential equations

14 November 2013

Javier I. González

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Papers citing "Reproducing kernel Hilbert space based estimation of systems of ordinary differential equations"

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Title
Uncertainty Informed Optimal Resource Allocation with Gaussian Process based Bayesian Inference Samarth Gupta Saurabh Amin 36 0 0 30 Jun 2023
Experimental Design for Linear Functionals in Reproducing Kernel Hilbert Spaces Mojmír Mutný Andreas Krause 101 11 0 26 May 2022
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
Post-Regularization Confidence Bands for Ordinary Differential Equations Zhou Yu Lexin Li 22 2 0 24 Oct 2021
MAGI-X: Manifold-Constrained Gaussian Process Inference for Unknown System Dynamics Chaofan Huang Simin Ma Shihao Yang 32 0 0 27 May 2021
Learning Dynamical Systems using Local Stability Priors Arash Mehrjou A. Iannelli Bernhard Schölkopf 34 4 0 23 Aug 2020
ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems Philippe Wenk G. Abbati Michael A. Osborne Bernhard Schölkopf Andreas Krause Stefan Bauer 69 31 0 17 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 73 48 0 12 Apr 2018
Constraining the Dynamics of Deep Probabilistic Models Marco Lorenzi Maurizio Filippone 101 28 0 15 Feb 2018
Appraisal of data-driven and mechanistic emulators of nonlinear hydrodynamic urban drainage simulators J. P. Carbajal J. Leitão Carlo Albert J. Rieckermann AI4CE 29 32 0 25 Sep 2016