A Multi-Index Quasi-Monte Carlo Algorithm for Lognormal Diffusion Problems. - Pieterjan Robbe; Dirk Nuyens; Stefan Vandewalle (SIAM J. Sci. Comput., 2017)

Multilevel Monte Carlo for uncertainty quantification in structural engineering. - Philippe Blondeel; Pieterjan Robbe; Cédric van hoorickx; Geert Lombaert; Stefan Vandewalle (CoRR, 2018)

h- and p-refined Multilevel Monte Carlo Methods for Uncertainty Quantification in Structural Engineering. - Philippe Blondeel; Pieterjan Robbe; Cédric van hoorickx; Geert Lombaert; Stefan Vandewalle (CoRR, 2019)

Enhanced Multi-Index Monte Carlo by means of Multiple Semi-Coarsened Multigrid for Anisotropic Diffusion Problems. - Pieterjan Robbe; Dirk Nuyens; Stefan Vandewalle (CoRR, 2019)

Recycling Samples in the Multigrid Multilevel (Quasi-)Monte Carlo Method. - Pieterjan Robbe; Dirk Nuyens; Stefan Vandewalle (SIAM J. Sci. Comput., 2019)

On the Selection of Random Field Evaluation Points in the p-MLQMC Method. - Philippe Blondeel; Pieterjan Robbe; Stijn François; Geert Lombaert; Stefan Vandewalle (MCQMC, 2020)

p-Refined Multilevel Quasi-Monte Carlo for Galerkin Finite Element Methods with Applications in Civil Engineering. - Philippe Blondeel; Pieterjan Robbe; Cédric van hoorickx; Stijn François; Geert Lombaert; Stefan Vandewalle (Algorithms, 2020)

Multilevel Asymptotic-Preserving Monte Carlo for Particle Simulations. - Bert Mortier; Pieterjan Robbe (CoRR, 2020)

Enhanced multi-index Monte Carlo by means of multiple semicoarsened multigrid for anisotropic diffusion problems. - Pieterjan Robbe; Dirk Nuyens; Stefan Vandewalle (Numer. Linear Algebra Appl., 2021)

Multilevel asymptotic-preserving Monte Carlo for kinetic-diffusive particle simulations of the Boltzmann-BGK equation. - Bert Mortier; Pieterjan Robbe; Martine Baelmans; Giovanni Samaey (J. Comput. Phys., 2022)

Multi-fidelity uncertainty quantification for homogenization problems in structure-property relationships from crystal plasticity finite elements. - Anh Tran; Pieterjan Robbe; Theron Rodgers; Hojun Lim (CoRR, 2023)

GaussianRandomFields.jl: A Julia package to generate and sample from Gaussian random fields. - Pieterjan Robbe (J. Open Source Softw., 2023)