Prediction with Approximated Gaussian Process Dynamical Models

25 June 2020

Papers citing "Prediction with Approximated Gaussian Process Dynamical Models"

4 / 4 papers shown

Title
Towards safe and tractable Gaussian process-based MPC: Efficient sampling within a sequential quadratic programming framework Manish Prajapat Amon Lahr Johannes Köhler Andreas Krause M. Zeilinger 21 2 0 13 Sep 2024
Gaussian Process Port-Hamiltonian Systems: Bayesian Learning with Physics Prior Thomas Beckers Jacob H. Seidman P. Perdikaris George J. Pappas PINN 29 17 0 15 May 2023
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
Sequential Estimation of Gaussian Process-based Deep State-Space Models Yuhao Liu Marzieh Ajirak P. Djuric 26 12 0 29 Jan 2023