Advanced Experiments on Gaussian Process-based Multi-fidelity Methods over Diverse Mathematical Characteristics
Sihmehmet Yildiz, Hayriye Pehlivan-Solak, Matteo Diez, Omer Goren and Melike Nikbay

Multi-Fidelity Sparse Polynomial Chaos and Kriging Surrogate Models for Uncertainty Quantification
Markus P. Rumpfkeil and Phil Beran

Multifidelity ductile failure model by cokriging between simulations on unit cells and random microstructures
Clément Cadet, Jacques Besson, Sylvain Flouriot, Samuel Forest, Pierre Kerfriden, Laurent Lacourt and Victor de Rancourt

Domain-aware multifidelity learning for design optimization
Francesco Di Fiore and Laura Mainini

Multi-fidelity active learning for shape optimization problems affected by noise
Jeroen Wackers, Riccardo Pellegrini, Matteo Diez, Andrea Serani and Michel Visonneau

Comparing two multi-fidelity methods for forward uncertainty quantification of ship resistance
Chiara Piazzola , Lorenzo Tamellini, Riccardo Pellegrini, Riccardo Broglia, Andrea Serani and Matteo Diez

Multifidelity uncertainty quantification for non-deterministic models
Bryan W. Reuter, Gianluca Geraci, Timothy M. Wildey and Michael S. Eldred

Goal-oriented adaptive MLMC for elliptic random PDEs
Joakim Beck, Yang Liu, Erik von Schwerin and Raul Tempone

Multilevel Delayed Acceptance MCMC: Cascading Distributions, Variance Reduction and Adaptive Error Models
Mikkel B. Lykkegaard, Tim J. Dodwell, Colin Fox, Grigorios Mingas and Robert Scheichl

A combination technique for optimal control problems under uncertainty
Fabio Nobile and Tommaso VanzanE

Surrogates in PDE-constrained one-shot optimization under uncertainty
Philipp A. Guth, Claudia Schillings and Simon Weissmann

A CFD-based multi-fidelity surrogate model for prediction of flow parameters in a ventilated room
Nina Morozova, F. Xavier Trias, Valdimir Vanovskiy, Carles Oliet and Evgeny Burnaev