Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models

3 September 2023

Papers citing "Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models"

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 103 0 0 24 Mar 2025
Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification Juan Maroñas Daniel Hernández-Lobato 53 6 0 30 May 2022
Rethinking Bayesian Learning for Data Analysis: The Art of Prior and Inference in Sparsity-Aware Modeling Lei Cheng Feng Yin Sergios Theodoridis S. Chatzis Tsung-Hui Chang 101 77 0 28 May 2022
Compositionally-Warped Gaussian Processes Gonzalo Rios Felipe A. Tobar 44 43 0 23 Jun 2019
Overcoming Mean-Field Approximations in Recurrent Gaussian Process Models Alessandro Davide Ialongo Mark van der Wilk J. Hensman C. Rasmussen 72 30 0 13 Jun 2019
Variational Gaussian Process State-Space Models R. Frigola Yutian Chen C. Rasmussen BDL 54 178 0 18 Jun 2014
Gaussian Processes for Big Data J. Hensman Nicolò Fusi Neil D. Lawrence GP 101 1,230 0 26 Sep 2013
Copula Processes A. Wilson Zoubin Ghahramani 176 113 0 07 Jun 2010