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High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraft., , , , and . CoRR, (2023)Explicit topology optimization through moving node approach: beam elements recognition., and . CoRR, (2021)Approximate Inference in Related Multi-output Gaussian Process Regression., , , and . ICPRAM (Revised Selected Papers), volume 10163 of Lecture Notes in Computer Science, page 88-103. (2016)On some applications of Generalized Geometric Projection to optimal 3D printing., , , , and . Comput. Graph., (2022)SMT 2.0: A Surrogate Modeling Toolbox with a focus on Hierarchical and Mixed Variables Gaussian Processes., , , , , , , , and . CoRR, (2023)Uncertainties Quantification for Subspace Identification of Rotating Systems., , and . PSYCO, page 35-40. International Federation of Automatic Control, (2013)A mixed-categorical correlation kernel for Gaussian process., , , , and . Neurocomputing, (2023)SMT 2.0: A Surrogate Modeling Toolbox with a focus on hierarchical and mixed variables Gaussian processes., , , , , , , , and . Adv. Eng. Softw., (February 2024)A Python surrogate modeling framework with derivatives., , , , , and . Adv. Eng. Softw., (2019)An outer approximation bi-level framework for mixed categorical structural optimization problems., , , and . CoRR, (2022)