Latent Map Gaussian Processes for Mixed Variable Metamodeling

Latent Map Gaussian Processes for Mixed Variable Metamodeling

7 February 2021

Ramin Bostanabad

Papers citing "Latent Map Gaussian Processes for Mixed Variable Metamodeling"

6 / 6 papers shown

Title
Constrained multi-fidelity Bayesian optimization with automatic stop condition Zahra Zanjani Foumani Ramin Bostanabad 74 0 0 03 Mar 2025
Unveiling Processing--Property Relationships in Laser Powder Bed Fusion: The Synergy of Machine Learning and High-throughput Experiments Mahsa Amiri Zahra Zanjani Foumani Penghui Cao Lorenzo Valdevit Ramin Bostanabad AI4CE 24 1 0 30 Aug 2024
A mixed-categorical correlation kernel for Gaussian process P. Saves Y. Diouane N. Bartoli T. Lefebvre J. Morlier GP 29 18 0 15 Nov 2022
Multi-fidelity wavelet neural operator with application to uncertainty quantification A. Thakur Tapas Tripura S. Chakraborty 38 12 0 11 Aug 2022
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,156 0 06 Jun 2015
Local Gaussian process approximation for large computer experiments R. Gramacy D. Apley 127 392 0 02 Mar 2013