Deep Gaussian Processes for Multi-fidelity Modeling

Deep Gaussian Processes for Multi-fidelity Modeling

18 March 2019

Andreas C. Damianou

Neil D. Lawrence

Javier I. González

Papers citing "Deep Gaussian Processes for Multi-fidelity Modeling"

16 / 16 papers shown

Title
Verification and Validation for Trustworthy Scientific Machine Learning John D. Jakeman Lorena A. Barba J. Martins Thomas O'Leary-Roseberry AI4CE 58 0 0 21 Feb 2025
Gradient-enhanced deep Gaussian processes for multifidelity modelling Viv Bone Chris van der Heide Kieran Mackle Ingo Jahn P. Dower Chris Manzie 27 1 0 25 Feb 2024
Diffusion-Generative Multi-Fidelity Learning for Physical Simulation Zheng Wang Shibo Li Shikai Fang Shandian Zhe DiffM AI4CE 18 1 0 09 Nov 2023
Inducing Point Allocation for Sparse Gaussian Processes in High-Throughput Bayesian Optimisation Henry B. Moss Sebastian W. Ober Victor Picheny 32 24 0 24 Jan 2023
Multi-fidelity Gaussian Process for Biomanufacturing Process Modeling with Small Data Yuan Sun Winton Nathan-Roberts T. Pham E. Otte U. Aickelin AI4CE 10 4 0 26 Nov 2022
Multi-fidelity surrogate modeling using long short-term memory networks Paolo Conti Mengwu Guo Andrea Manzoni J. Hesthaven AI4CE 33 48 0 05 Aug 2022
Infinite-Fidelity Coregionalization for Physical Simulation Shibo Li Zihan Wang Robert M. Kirby Shandian Zhe AI4CE 28 6 0 01 Jul 2022
Recent Advances in Bayesian Optimization Xilu Wang Yaochu Jin Sebastian Schmitt Markus Olhofer 40 200 0 07 Jun 2022
Cooperative Multi-Agent Trajectory Generation with Modular Bayesian Optimization Gilhyun Ryou E. Tal S. Karaman 26 4 0 01 Jun 2022
On the Correspondence between Gaussian Processes and Geometric Harmonics Felix Dietrich J. M. Bello-Rivas Ioannis G. Kevrekidis 23 3 0 05 Oct 2021
BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization Maximilian Balandat Brian Karrer Daniel R. Jiang Sam Daulton Benjamin Letham A. Wilson E. Bakshy 32 93 0 14 Oct 2019
A support vector regression-based multi-fidelity surrogate model Maolin Shi Shuo Wang Wei Sun Liye Lv Xueguan Song AI4CE 8 67 0 22 Jun 2019
Multi-resolution Multi-task Gaussian Processes Oliver Hamelijnck Theodoros Damoulas Kangrui Wang Mark Girolami 22 38 0 19 Jun 2019
Bifidelity data-assisted neural networks in nonintrusive reduced-order modeling Chuan Lu Xueyu Zhu 11 11 0 01 Feb 2019
Manifold Gaussian Processes for Regression Roberto Calandra Jan Peters C. Rasmussen M. Deisenroth 92 271 0 24 Feb 2014
Recursive co-kriging model for Design of Computer experiments with multiple levels of fidelity with an application to hydrodynamic Loic Le Gratiet AI4CE 88 292 0 02 Oct 2012