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Heterogeneous Multi-output Gaussian Process Prediction

19 May 2018

P. Moreno-Muñoz

Antonio Artés-Rodríguez

Mauricio A. Alvarez

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Papers citing "Heterogeneous Multi-output Gaussian Process Prediction"

33 / 33 papers shown

Title
Mixed Likelihood Variational Gaussian Processes Kaiwen Wu Craig Sanders Benjamin Letham Phillip Guan 109 0 0 06 Mar 2025
Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regression Junliang Lyu Yixuan Zhang Xiaoling Lu Feng Zhou FedML 132 1 0 14 Dec 2024
Physics-Informed Variational State-Space Gaussian Processes Oliver Hamelijnck Arno Solin Theodoros Damoulas 57 1 0 20 Sep 2024
Regularized Multi-output Gaussian Convolution Process with Domain Adaptation Wang Xinming Wang Chao Song Xuan Kirby Levi Wu Jianguo 61 7 0 04 Sep 2024
Federated Automatic Latent Variable Selection in Multi-output Gaussian Processes Jingyi Gao Seokhyun Chung FedML 55 0 0 24 Jul 2024
Scalable Multi-Output Gaussian Processes with Stochastic Variational Inference Xiaoyu Jiang Sokratia Georgaka Magnus Rattray Mauricio A. Alvarez 62 0 0 02 Jul 2024
Dimensionality reduction can be used as a surrogate model for high-dimensional forward uncertainty quantification Jungho Kim Sang-ri Yi Ziqi Wang 78 6 0 07 Feb 2024
Robust and Conjugate Gaussian Process Regression Matias Altamirano F. Briol Jeremias Knoblauch 73 13 0 01 Nov 2023
Latent Variable Multi-output Gaussian Processes for Hierarchical Datasets Chunchao Ma Arthur Leroy Mauricio A. Alvarez 26 2 0 31 Aug 2023
Heterogeneous Multi-Task Gaussian Cox Processes Feng Zhou Quyu Kong Zhijie Deng Fengxiang He Peng Cui Jun Zhu 92 2 0 29 Aug 2023
A Variational Autoencoder for Heterogeneous Temporal and Longitudinal Data Mine Ögretir S. Ramchandran D. Papatheodorou Harri Lähdesmäki BDL 69 5 0 20 Apr 2022
Learning Multi-Task Gaussian Process Over Heterogeneous Input Domains Haitao Liu Kai Wu Yew-Soon Ong Chao Bian Xiaomo Jiang Xiaofang Wang 55 8 0 25 Feb 2022
Uncertainty quantification of a three-dimensional in-stent restenosis model with surrogate modelling Dongwei Ye Pavel S. Zun Valeria Krzhizhanovskaya Alfons G. Hoekstra 44 1 0 11 Nov 2021
Modular Gaussian Processes for Transfer Learning P. Moreno-Muñoz Antonio Artés-Rodríguez Mauricio A. Alvarez 40 4 0 26 Oct 2021
Scalable Multi-Task Gaussian Processes with Neural Embedding of Coregionalization Haitao Liu Jiaqi Ding Xinyu Xie Xiaomo Jiang Yusong Zhao Xiaofang Wang BDL 50 17 0 20 Sep 2021
Leveraging Probabilistic Circuits for Nonparametric Multi-Output Regression Zhongjie Yu M. Zhu Martin Trapp Arseny Skryagin Kristian Kersting UQCV TPM 43 15 0 16 Jun 2021
Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features Thomas M. McDonald Mauricio A. Alvarez 85 10 0 10 Jun 2021
Recyclable Gaussian Processes P. Moreno-Muñoz Antonio Artés-Rodríguez Mauricio A. Alvarez BDL 41 1 0 06 Oct 2020
Generalized Multi-Output Gaussian Process Censored Regression Daniele Gammelli Kasper Pryds Rolsted Dario Pacino Filipe Rodrigues 43 14 0 10 Sep 2020
Doubly Stochastic Variational Inference for Neural Processes with Hierarchical Latent Variables Q. Wang H. V. Hoof BDL 66 42 0 21 Aug 2020
Multioutput Gaussian Processes with Functional Data: A Study on Coastal Flood Hazard Assessment A. F. López-Lopera D. Idier J. Rohmer François Bachoc 55 22 0 28 Jul 2020
On Negative Transfer and Structure of Latent Functions in Multi-output Gaussian Processes Moyan Li Raed Al Kontar 47 7 0 06 Apr 2020
Weakly-supervised Multi-output Regression via Correlated Gaussian Processes Seokhyun Chung Raed Al Kontar Zhenke Wu 30 5 0 19 Feb 2020
A Fully Natural Gradient Scheme for Improving Inference of the Heterogeneous Multi-Output Gaussian Process Model Juan J. Giraldo Mauricio A. Alvarez BDL 98 5 0 22 Nov 2019
Continual Multi-task Gaussian Processes P. Moreno-Muñoz A. Artés-Rodríguez Mauricio A. Alvarez 71 13 0 31 Oct 2019
Latent Gaussian process with composite likelihoods and numerical quadrature S. Ramchandran Miika Koskinen Harri Lähdesmäki 25 0 0 04 Sep 2019
Multi-task Learning for Aggregated Data using Gaussian Processes F. Yousefi M. Smith Mauricio A. Alvarez FedML 53 34 0 22 Jun 2019
Multi-resolution Multi-task Gaussian Processes Oliver Hamelijnck Theodoros Damoulas Kangrui Wang Mark Girolami 57 38 0 19 Jun 2019
A Variant of Gaussian Process Dynamical Systems Jing Zhao Jingjing Fei Shiliang Sun 20 1 0 09 Jun 2019
Distribution Calibration for Regression Hao Song Tom Diethe Meelis Kull Peter A. Flach UQCV 192 112 0 15 May 2019
Variational Inference of Joint Models using Multivariate Gaussian Convolution Processes Xubo Yue Raed Al Kontar 85 17 0 09 Mar 2019
Non-linear process convolutions for multi-output Gaussian processes Mauricio A. Alvarez W. Ward Cristian Guarnizo Lemus 75 22 0 10 Oct 2018
Change-Point Detection on Hierarchical Circadian Models P. Moreno-Muñoz David Ramírez Antonio Artés-Rodríguez 48 7 0 11 Sep 2018