A flexible state space model for learning nonlinear dynamical systems

17 March 2016

Papers citing "A flexible state space model for learning nonlinear dynamical systems"

8 / 8 papers shown

Title
Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems Zhidi Lin Ying Li Feng Yin Juan Maroñas Alexandre Thiéry 54 0 0 24 Mar 2025
Learning-Based Optimal Control with Performance Guarantees for Unknown Systems with Latent States Robert Lefringhausen Supitsana Srithasan Armin Lederer Sandra Hirche 20 6 0 31 Mar 2023
Transport with Support: Data-Conditional Diffusion Bridges Ella Tamir Martin Trapp Arno Solin DiffM OT 28 7 0 31 Jan 2023
Sequential Estimation of Gaussian Process-based Deep State-Space Models Yuhao Liu Marzieh Ajirak P. Djuric 26 12 0 29 Jan 2023
Unsupervised learning of observation functions in state-space models by nonparametric moment methods Qi An Y. Kevrekidis Fei Lu Mauro Maggioni 17 2 0 12 Jul 2022
Sparse Bayesian Deep Learning for Dynamic System Identification Hongpeng Zhou Chahine Ibrahim W. Zheng Wei Pan BDL 23 25 0 27 Jul 2021
Learning dynamical systems with particle stochastic approximation EM Andreas Svensson Fredrik Lindsten 33 9 0 25 Jun 2018
System Identification through Online Sparse Gaussian Process Regression with Input Noise Hildo Bijl Thomas B. Schon J. Wingerden M. Verhaegen 39 41 0 29 Jan 2016