MOGPTK: The Multi-Output Gaussian Process Toolkit

9 February 2020

Papers citing "MOGPTK: The Multi-Output Gaussian Process Toolkit"

11 / 11 papers shown

Title
Probabilistic Spatiotemporal Modeling of Day-Ahead Wind Power Generation with Input-Warped Gaussian Processes Qiqi Li Mike Ludkovski 27 1 0 10 Sep 2024
An Active Learning Based Robot Kinematic Calibration Framework Using Gaussian Processes Ersin Daş J. W. Burdick 30 7 0 07 Mar 2023
An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects Thanh Vinh Vo Arnab Bhattacharyya Young Lee Tze-Yun Leong FedML 25 19 0 01 Jan 2023
Computationally-efficient initialisation of GPs: The generalised variogram method Felipe A. Tobar Elsa Cazelles T. Wolff 19 0 0 11 Oct 2022
Nonstationary multi-output Gaussian processes via harmonizable spectral mixtures Matias Altamirano Felipe A. Tobar 11 4 0 18 Feb 2022
Scalable Multi-Task Gaussian Processes with Neural Embedding of Coregionalization Haitao Liu Jiaqi Ding Xinyu Xie Xiaomo Jiang Yusong Zhao Xiaofang Wang BDL 34 14 0 20 Sep 2021
Federated Estimation of Causal Effects from Observational Data Thanh Vinh Vo T. Hoang Young Lee Tze-Yun Leong FedML CML 28 13 0 31 May 2021
Cluster-Specific Predictions with Multi-Task Gaussian Processes Arthur Leroy Pierre Latouche Benjamin Guedj S. Gey 23 4 0 16 Nov 2020
SAMBA: Safe Model-Based & Active Reinforcement Learning Alexander I. Cowen-Rivers Daniel Palenicek Vincent Moens Mohammed Abdullah Aivar Sootla Jun Wang Haitham Bou-Ammar 23 44 0 12 Jun 2020
A conditional one-output likelihood formulation for multitask Gaussian processes Óscar García Hinde Vanessa Gómez-Verdejo M. Martínez‐Ramón 6 4 0 05 Jun 2020
Gaussian process imputation of multiple financial series T. Wolff Alejandro Cuevas Felipe A. Tobar AI4TS 24 8 0 11 Feb 2020