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To cite deepICMGP and its underlying deep GP methodology, use:
Chang C, Sung C (2026). “Deep Intrinsic Coregionalization Multi-Output Gaussian Process Surrogate with Active Learning.” International Journal for Uncertainty Quantification, 16(4), 29–52. doi:10.1615/Int.J.UncertaintyQuantification.2026062570.
Sauer A, Gramacy R, Higdon D (2023). “Active Learning for Deep Gaussian Process Surrogates.” Technometrics, 65(1), 4–18. doi:10.1080/00401706.2021.2008505.
deepICMGP adapts code from the deepgp R package: https://CRAN.R-project.org/package=deepgp. Use citation("deepgp") to obtain the software citation for your installed version.
Corresponding BibTeX entries:
@Article{,
title = {Deep Intrinsic Coregionalization Multi-Output Gaussian
Process Surrogate with Active Learning},
author = {Chun-Yi Chang and Chih-Li Sung},
journal = {International Journal for Uncertainty Quantification},
year = {2026},
volume = {16},
number = {4},
pages = {29--52},
doi = {10.1615/Int.J.UncertaintyQuantification.2026062570},
}
@Article{,
title = {Active Learning for Deep Gaussian Process Surrogates},
author = {Annie Sauer and Robert B. Gramacy and David Higdon},
journal = {Technometrics},
year = {2023},
volume = {65},
number = {1},
pages = {4--18},
doi = {10.1080/00401706.2021.2008505},
}
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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