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stat.CO2026
Generalized and Scalable Deep Gaussian Process Emulation
Deyu Ming, Daniel Williamson
Gaussian process (GP) emulators have become essential tools for approximating complex simulators, significantly reducing computational demands in optimization, sensitivity analysis…
stat.CO2025
Sequential Design for Simulators with Sharp Variations via Deep Gaussian Process Gradients
Yiming Yang, Deyu Ming, Serge Guillas
Deep Gaussian Processes (DGPs) compose Gaussian Process (GP) layers to warp inputs, improving the emulation of computer simulators with nonstationary input-output mappings. While g…