Compositional kernel learning using tree-based genetic programming for Gaussian process regression

Machine learning in drug development: Characterizing the effect of 30 drugs on the QT interval using Gaussian process regression, sensitivity analysis, and uncertainty quantification

(2019) Francisco Sahli Costabal et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Reduced order modeling for nonlinear structural analysis using Gaussian process regression

(2018) Mengwu Guo et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

A tutorial on Gaussian process regression: Modelling, exploring, and exploiting functions

(2018) Eric Schulz et al.   JOURNAL OF MATHEMATICAL PSYCHOLOGY

Inferring solutions of differential equations using noisy multi-fidelity data

(2017) Maziar Raissi et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Nonlinear information fusion algorithms for data-efficient multi-fidelity modelling

(2017) P. Perdikaris et al.   PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Multi-fidelity modelling of mixed convection based on experimental correlations and numerical simulations

(2016) H. Babaee et al.   JOURNAL OF FLUID MECHANICS

Self-adaptive sampling for sequential surrogate modeling of time-consuming finite element analysis

(2016) Seung-Seop Jin et al.   Smart Structures and Systems

A new surrogate modeling technique combining Kriging and polynomial chaos expansions – Application to uncertainty analysis in computational dosimetry

(2015) Pierric Kersaudy et al.   JOURNAL OF COMPUTATIONAL PHYSICS

Kriging surrogates for evolutionary multi-objective optimization of CPU intensive sheet metal forming applications

(2014) Mohamed Hamdaoui et al.   International Journal of Material Forming

A benchmark of kriging-based infill criteria for noisy optimization

(2013) Victor Picheny et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

POD surrogates for real-time multi-parametric sheet metal forming problems

(2013) M. Hamdaoui et al.   International Journal of Material Forming

Two-Stage Sensitivity-Based Group Screening in Computer Experiments

(2012) Hyejung Moon et al.   TECHNOMETRICS

Gaussian process emulators for the stochastic finite element method

(2011) F. A. DiazDelaO et al.   INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING

Efficient surrogate models for reliability analysis of systems with multiple failure modes

(2011) Barron J. Bichon et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Generalized Latin Hypercube Design for Computer Experiments

(2010) Holger Dette et al.   TECHNOMETRICS

System reliability-based design optimization using the MPP-based dimension reduction method

(2009) Ikjin Lee et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

A review and comparison of four commonly used Bayesian and maximum likelihood model selection tools

(2007) Eric J. Ward   ECOLOGICAL MODELLING