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A Latent Variable Approach to Gaussian Process Modeling with Qualitative and Quantitative Factors

19 June 2018

Papers citing "A Latent Variable Approach to Gaussian Process Modeling with Qualitative and Quantitative Factors"

29 / 29 papers shown

Title
Distributional encoding for Gaussian process regression with qualitative inputs Sébastien Da Veiga UQCV 92 0 0 05 Jun 2025
Weighted Euclidean Distance Matrices over Mixed Continuous and Categorical Inputs for Gaussian Process Models Mingyu Pu Songhao Wang Haowei Wang Szu Hui Ng 78 0 0 04 Mar 2025
Gearing Gaussian process modeling and sequential design towards stochastic simulators M. Binois A. Fadikar Abby Stevens 147 0 0 10 Dec 2024
CAGES: Cost-Aware Gradient Entropy Search for Efficient Local Multi-Fidelity Bayesian Optimization Wei-Ting Tang J. Paulson 58 1 0 13 May 2024
Adaptive Catalyst Discovery Using Multicriteria Bayesian Optimization with Representation Learning Jie Chen Pengfei Ou Yuxin Chang Hengrui Zhang Xiao-Yan Li E. H. Sargent Wei Chen 70 0 0 18 Apr 2024
Transfer Learning Bayesian Optimization to Design Competitor DNA Molecules for Use in Diagnostic Assays Ruby Sedgwick John P. Goertz Molly M. Stevens Ruth Misener Mark van der Wilk BDL 59 0 0 27 Feb 2024
Interpretable Multi-Source Data Fusion Through Latent Variable Gaussian Process S. Ravi Yigitcan Comlek Wei Chen Arjun Pathak Vipul Gupta ... Ghanshyam Pilania Piyush Pandita Sayan Ghosh Nathaniel Mckeever Liping Wang 30 1 0 06 Feb 2024
A Latent Variable Approach for Non-Hierarchical Multi-Fidelity Adaptive Sampling Yi-Ping Chen Liwei Wang Yigitcan Comlek Wei Chen 49 10 0 05 Oct 2023
Bayesian Quality-Diversity approaches for constrained optimization problems with mixed continuous, discrete and categorical variables Loïc Brevault M. Balesdent 83 2 0 11 Sep 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 79 71 0 23 May 2023
Rapid Design of Top-Performing Metal-Organic Frameworks with Qualitative Representations of Building Blocks Yigitcan Comlek T. D. Pham R. Snurr Wei Chen AI4CE 46 18 0 17 Feb 2023
Multi-Fidelity Cost-Aware Bayesian Optimization Zahra Zanjani Foumani Mehdi Shishehbor Amin Yousefpour Ramin Bostanabad 56 49 0 04 Nov 2022
Fully Bayesian inference for latent variable Gaussian process models Suraj Yerramilli Akshay Iyer Wei Chen D. Apley 45 3 0 04 Nov 2022
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization Sam Daulton Xingchen Wan David Eriksson Maximilian Balandat Michael A. Osborne E. Bakshy 96 39 0 18 Oct 2022
Multi-fidelity wavelet neural operator with application to uncertainty quantification A. Thakur Tapas Tripura S. Chakraborty 59 12 0 11 Aug 2022
Uncertainty-Aware Mixed-Variable Machine Learning for Materials Design Hengrui Zhang WeiWayneChen Akshay Iyer D. Apley Wei Chen AI4CE 73 12 0 11 Jul 2022
Hybrid Parameter Search and Dynamic Model Selection for Mixed-Variable Bayesian Optimization Hengrui Luo Younghyun Cho James Demmel Xin Li Yang Liu 56 7 0 03 Jun 2022
Multi-objective robust optimization using adaptive surrogate models for problems with mixed continuous-categorical parameters M. Moustapha A. Galimshina G. Habert Bruno Sudret 61 10 0 03 Mar 2022
t-METASET: Tailoring Property Bias of Large-Scale Metamaterial Datasets through Active Learning Doksoo Lee Yu-Chin Chan Wei Chen Liwei Wang Anton van Beek Wei Chen AI4CE 60 20 0 21 Feb 2022
Data Fusion with Latent Map Gaussian Processes Nicholas Oune J. Eweis-Labolle Ramin Bostanabad 43 31 0 04 Dec 2021
A comparison of mixed-variables Bayesian optimization approaches Jhouben Cuesta Ramirez Rodolphe Le Riche O. Roustant G. Perrin Cédric Durantin A. Glière 56 19 0 30 Oct 2021
Data-Driven Multiscale Design of Cellular Composites with Multiclass Microstructures for Natural Frequency Maximization Liwei Wang Anton van Beek Daicong Da Yu-Chin Chan Ping Zhu Wei Chen AI4CE 42 43 0 11 Jun 2021
Latent Map Gaussian Processes for Mixed Variable Metamodeling Nicholas Oune Ramin Bostanabad 55 34 0 07 Feb 2021
Data-Driven Topology Optimization with Multiclass Microstructures using Latent Variable Gaussian Process Liwei Wang Siyu Tao Ping Zhu Wei Chen AI4CE 45 61 0 27 Jun 2020
Gryffin: An algorithm for Bayesian optimization of categorical variables informed by expert knowledge Florian Hase Matteo Aldeghi Riley J. Hickman L. Roch Alán Aspuru-Guzik 101 109 0 26 Mar 2020
Bayesian optimization of variable-size design space problems J. Pelamatti Loïc Brevault M. Balesdent El-Ghazali Talbi Yannick Guerin 80 29 0 06 Mar 2020
Bayesian Optimization for Materials Design with Mixed Quantitative and Qualitative Variables Yichi Zhang D. Apley Wei Chen AI4CE 66 217 0 03 Oct 2019
Data-Centric Mixed-Variable Bayesian Optimization For Materials Design Akshay Iyer Yichi Zhang A. Prasad Siyu Tao Yixing Wang L. Schadler L. Brinson Wei Chen 32 23 0 04 Jul 2019
Group kernels for Gaussian process metamodels with categorical inputs O. Roustant Esperan Padonou Yves Deville Aloïs Clément G. Perrin J. Giorla H. Wynn 67 53 0 07 Feb 2018