GPflux: A Library for Deep Gaussian Processes

GPflux: A Library for Deep Gaussian Processes

12 April 2021

Vincent Dutordoir

Felix Leibfried

Mark van der Wilk

Papers citing "GPflux: A Library for Deep Gaussian Processes"

15 / 15 papers shown

Title
Gearing Gaussian process modeling and sequential design towards stochastic simulators M. Binois A. Fadikar Abby Stevens 75 0 0 10 Dec 2024
Deep Horseshoe Gaussian Processes Ismael Castillo Thibault Randrianarisoa BDL UQCV 42 5 0 04 Mar 2024
Thin and Deep Gaussian Processes Daniel Augusto R. M. A. de Souza Alexander Nikitin S. T. John Magnus Ross Mauricio A. Alvarez M. Deisenroth Joao P. P. Gomes Diego Mesquita C. L. C. Mattos 20 5 0 17 Oct 2023
A Unifying Perspective on Non-Stationary Kernels for Deeper Gaussian Processes M. Noack Hengrui Luo M. Risser GP 21 11 0 18 Sep 2023
Trieste: Efficiently Exploring The Depths of Black-box Functions with TensorFlow Victor Picheny Joel Berkeley Henry B. Moss Hrvoje Stojić Uri Granta ... Sergio Pascual-Diaz Stratis Markou Jixiang Qing Nasrulloh Loka Ivo Couckuyt 18 17 0 16 Feb 2023
Vecchia-approximated Deep Gaussian Processes for Computer Experiments Annie Sauer A. Cooper R. Gramacy 8 34 0 06 Apr 2022
Conditional Deep Gaussian Processes: empirical Bayes hyperdata learning Chi-Ken Lu Patrick Shafto BDL 19 4 0 01 Oct 2021
Deep Gaussian Process Emulation using Stochastic Imputation Deyu Ming D. Williamson S. Guillas 9 28 0 04 Jul 2021
The Limitations of Large Width in Neural Networks: A Deep Gaussian Process Perspective Geoff Pleiss John P. Cunningham 26 24 0 11 Jun 2021
Priors in Bayesian Deep Learning: A Review Vincent Fortuin UQCV BDL 29 124 0 14 May 2021
Deep Neural Networks as Point Estimates for Deep Gaussian Processes Vincent Dutordoir J. Hensman Mark van der Wilk Carl Henrik Ek Zoubin Ghahramani N. Durrande BDL UQCV 10 30 0 10 May 2021
Bellman: A Toolbox for Model-Based Reinforcement Learning in TensorFlow John Mcleod Hrvoje Stojić Vincent Adam Dongho Kim Jordi Grau-Moya Peter Vrancx Felix Leibfried OffRL 21 2 0 26 Mar 2021
Scalable Thompson Sampling using Sparse Gaussian Process Models Sattar Vakili Henry B. Moss A. Artemev Vincent Dutordoir Victor Picheny 8 34 0 09 Jun 2020
A Framework for Interdomain and Multioutput Gaussian Processes Mark van der Wilk Vincent Dutordoir S. T. John A. Artemev Vincent Adam J. Hensman 37 94 0 02 Mar 2020
Bayesian Quantile and Expectile Optimisation Victor Picheny Henry B. Moss Léonard Torossian N. Durrande 14 21 0 12 Jan 2020