Bayesian learning of orthogonal embeddings for multi-fidelity Gaussian
Processes

Bayesian learning of orthogonal embeddings for multi-fidelity Gaussian Processes

5 August 2020

Panagiotis Tsilifis

Valeria Andreoli

Liping Wang

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Papers citing "Bayesian learning of orthogonal embeddings for multi-fidelity Gaussian Processes"

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Title
Variational Bayesian surrogate modelling with application to robust design optimisation Thomas A. Archbold Ieva Kazlauskaite F. Cirak 246 3 0 23 Apr 2024
A Multi-Fidelity Methodology for Reduced Order Models with High-Dimensional Inputs Bilal Mufti Christian Perron D. Mavris 90 0 0 26 Feb 2024
Variational Inference for Nonlinear Inverse Problems via Neural Net Kernels: Comparison to Bayesian Neural Networks, Application to Topology OptimizationComputer Methods in Applied Mechanics and Engineering (CMAME), 2022 Vahid Keshavarzzadeh Robert M. Kirby A. Narayan BDL 151 3 0 07 May 2022
Reinforcement Learning based Sequential Batch-sampling for Bayesian Optimal Experimental Design Yonatan Ashenafi Piyush Pandita Sayan Ghosh OffRL 209 6 0 21 Dec 2021
A Fully Bayesian Gradient-Free Supervised Dimension Reduction Method using Gaussian ProcessesInternational Journal for Uncertainty Quantification (IJUQ), 2020 Raphael Gautier Piyush Pandita Sayan Ghosh D. Mavris 309 4 0 08 Aug 2020