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Author

Annie S. Booth

Observed names: Annie S Booth, Booth, Annie S.
Institution: Virginia Tech
OpenAlex ID: A5109799720
Contour location for reliability in airfoil simulation experiments using deep Gaussian processes
2025 · Annie S. Booth, S. Ashwin Renganathan, et al. · The Annals of Applied Statistics · 15
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Voronoi candidates for Bayesian optimization
2025 · Nathan Wycoff, John W. Smith, et al. · Journal of Global Optimization · 3
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Monotonic warpings for additive and deep Gaussian processes
2025 · Steven D. Barnett, Lauren J. Beesley, et al. · Statistics and Computing · 2
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deepgp: Bayesian Deep Gaussian Processes using MCMC
2020 · Annie S. Booth · 1
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Profile Bayesian optimization for expensive computer experiments
2026 · Courtney Kyger, James Fernandez, et al. · IISE Transactions
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Bayesian Deep Gaussian Processes for Correlated Functional Data: a Case Study in Cosmological Matter Power Spectra
2026 · Stephen A. Walsh, Annie S. Booth, et al. · Data Science in Science
Surrogate-Guided Adaptive Importance Sampling for Failure Probability Estimation
2026 · Renganathan, Ashwin, Booth, Annie S. · arXiv (Cornell University)
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Modernizing full posterior inference for surrogate modeling of categorical-output simulation experiments
2026 · Andrew Cooper, Annie S. Booth, et al. · Quality Engineering
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Gradient-enhancement and Gradient Predictions for Deep Gaussian Process Modeling of Expensive Computer Experiments
2025 · Booth, Annie S. · arXiv (Cornell University)
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Actively Learning Joint Contours of Multiple Computer Experiments
2025 · Prim, Shih-Ni, Quinlan, Kevin R., et al. · arXiv (Cornell University)
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Two-stage design for failure probability estimation with Gaussian process surrogates
2025 · Annie S. Booth, S. Ashwin Renganathan · Journal of Quality Technology
Bayesian "Deep" Process Convolutions: An Application in Cosmology
2024 · Moran, Kelly R., Payne, Richard, et al. · arXiv (Cornell University)
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Two-stage Design for Failure Probability Estimation with Gaussian Process Surrogates
2024 · Booth, Annie S., Renganathan, S. Ashwin · arXiv (Cornell University)
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Works count: 14
Citation count: 21
H-index: 2
I10-index: 1
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