Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification

30 May 2022

Papers citing "Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification"

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 49 0 0 24 Mar 2025
Deep Transformed Gaussian Processes Francisco Javier Sáez-Maldonado Juan Maroñas Daniel Hernández-Lobato 6 0 0 27 Oct 2023
Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models Zhidi Lin Juan Maroñas Ying Li Feng Yin Sergios Theodoridis 19 3 0 03 Sep 2023
Towards Flexibility and Interpretability of Gaussian Process State-Space Model Zhidi Lin Feng Yin Juan Maroñas 21 7 0 21 Jan 2023
Markovian Gaussian Process Variational Autoencoders Harrison Zhu Carles Balsells Rodas Yingzhen Li BDL AI4TS 33 14 0 12 Jul 2022
A Framework for Interdomain and Multioutput Gaussian Processes Mark van der Wilk Vincent Dutordoir S. T. John A. Artemev Vincent Adam J. Hensman 35 94 0 02 Mar 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,134 0 06 Jun 2015
Manifold Gaussian Processes for Regression Roberto Calandra Jan Peters C. Rasmussen M. Deisenroth 84 271 0 24 Feb 2014