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stat.ML2023
Linked Deep Gaussian Process Emulation for Model Networks
Deyu Ming, Daniel Williamson
Modern scientific problems are often multi-disciplinary and require integration of computer models from different disciplines, each with distinct functional complexities, programmi…
stat.ML2021★ 4 cited
Deep Gaussian Process Emulation using Stochastic Imputation
Deyu Ming, Daniel Williamson, Serge Guillas
Deep Gaussian processes (DGPs) provide a rich class of models that can better represent functions with varying regimes or sharp changes, compared to conventional GPs. In this work,…