Local transfer learning Gaussian process modeling, with applications to
surrogate modeling of expensive computer simulators

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Local transfer learning Gaussian process modeling, with applications to surrogate modeling of expensive computer simulators

16 October 2024

John Joshua Miller

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Papers citing "Local transfer learning Gaussian process modeling, with applications to surrogate modeling of expensive computer simulators"

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Title
Multifidelity Simulation-based Inference for Computationally Expensive Simulators Anastasia N. Krouglova Hayden R. Johnson Basile Confavreux Michael Deistler P. J. Gonçalves 214 4 0 17 Feb 2025
Regularized Multi-output Gaussian Convolution Process with Domain Adaptation Wang Xinming Wang Chao Song Xuan Kirby Levi Wu Jianguo 49 7 0 04 Sep 2024
On Negative Transfer and Structure of Latent Functions in Multi-output Gaussian Processes Moyan Li Raed Al Kontar 27 7 0 06 Apr 2020
A Comprehensive Survey on Transfer Learning Fuzhen Zhuang Zhiyuan Qi Keyu Duan Dongbo Xi Yongchun Zhu Hengshu Zhu Hui Xiong Qing He 183 4,468 0 07 Nov 2019
Deep Learning using Rectified Linear Units (ReLU) Abien Fred Agarap 74 3,229 0 22 Mar 2018
Deep Neural Networks as Gaussian Processes Jaehoon Lee Yasaman Bahri Roman Novak S. Schoenholz Jeffrey Pennington Jascha Narain Sohl-Dickstein UQCV BDL 131 1,097 0 01 Nov 2017
Automatic differentiation in machine learning: a survey A. G. Baydin Barak A. Pearlmutter Alexey Radul J. Siskind PINN AI4CE ODL 168 2,814 0 20 Feb 2015