A mixed-categorical correlation kernel for Gaussian process

15 November 2022

Papers citing "A mixed-categorical correlation kernel for Gaussian process"

7 / 7 papers shown

Title
Multi-objective Bayesian Optimization With Mixed-categorical Design Variables for Expensive-to-evaluate Aeronautical Applications N. Bartoli T. Lefebvre R. Lafage P. Saves Y. Diouane ... J. Bussemaker Giuseppa Donelli Joao Marcos Gomes de Mello Massimo Mandorino Pierluigi Della Vecchia 30 0 0 14 Apr 2025
Surrogate-based optimization of system architectures subject to hidden constraints J. Bussemaker P. Saves N. Bartoli T. Lefebvre Björn Nagel AI4CE 130 2 0 11 Apr 2025
SMT-EX: An Explainable Surrogate Modeling Toolbox for Mixed-Variables Design Exploration M. R Paul Saves P. Palar L. Zuhal oseph Morlier MoE LRM 51 1 0 25 Mar 2025
Bayesian Optimization of a Lightweight and Accurate Neural Network for Aerodynamic Performance Prediction James M. Shihua P. Saves Rhea P. Liem J. Morlier 36 0 0 25 Mar 2025
Weighted Euclidean Distance Matrices over Mixed Continuous and Categorical Inputs for Gaussian Process Models Mingyu Pu Songhao Wang Haowei Wang Szu Hui Ng 42 0 0 04 Mar 2025
High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraft P. Saves Y. Diouane N. Bartoli T. Lefebvre J. Morlier 19 5 0 10 Nov 2023
SMT 2.0: A Surrogate Modeling Toolbox with a focus on Hierarchical and Mixed Variables Gaussian Processes P. Saves R. Lafage N. Bartoli Y. Diouane J. Bussemaker T. Lefebvre John T. Hwang J. Morlier J. Martins MoE 11 61 0 23 May 2023