Pieterjan Robbe

According to our database, Pieterjan Robbe authored at least 17 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

QMCPy: A Python Framework for (Quasi-)Monte Carlo Algorithms.

Aleksei G. Sorokin, Fred J. Hickernell, Sou-Cheng T. Choi, Rathinavel Jagadeeswaran, Pieterjan Robbe, Aadit Jain

J. Open Source Softw., January, 2026

Towards Spatio-Temporal Extrapolation of Phase-Field Simulations with Convolution-Only Neural Networks.

Christophe Bonneville, Nathan Bieberdorf, Pieterjan Robbe, Mark Asta, Habib N. Najm, Laurent Capolungo, Cosmin Safta

CoRR, January, 2026

2025

A Comparison of Surrogate Constitutive Models for Viscoplastic Creep Simulation of HT-9 Steel.

Pieterjan Robbe, Andre Ruybalid, Arun Hegde, Christophe Bonneville, Habib N. Najm, Laurent Capolungo, Cosmin Safta

CoRR, September, 2025

Extrapolating Phase-Field Simulations in Space and Time with Purely Convolutional Architectures.

Christophe Bonneville, Nathan Bieberdorf, Pieterjan Robbe, Mark Asta, Habib N. Najm, Laurent Capolungo, Cosmin Safta

CoRR, September, 2025

Fast Gaussian process regression for high dimensional functions with derivative information.

Aleksei G. Sorokin, Pieterjan Robbe, Fred J. Hickernell

Proceedings of the First International Conference on Probabilistic Numerics (ProbNum 2025), 2025

2023

GaussianRandomFields.jl: A Julia package to generate and sample from Gaussian random fields.

Pieterjan Robbe

J. Open Source Softw., September, 2023

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

2022

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

2021

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

2020

Multilevel Asymptotic-Preserving Monte Carlo for Particle Simulations.

Bert Mortier, Pieterjan Robbe

CoRR, 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

On the Selection of Random Field Evaluation Points in the p-MLQMC Method.

Philippe Blondeel, Pieterjan Robbe, Stijn François, Geert Lombaert, Stefan Vandewalle

Proceedings of the Monte Carlo and Quasi-Monte Carlo Methods, 2020

2019

Recycling Samples in the Multigrid Multilevel (Quasi-)Monte Carlo Method.

Pieterjan Robbe, Dirk Nuyens, Stefan Vandewalle

SIAM J. Sci. Comput., 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

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

2018

Multilevel Monte Carlo for uncertainty quantification in structural engineering.

Philippe Blondeel, Pieterjan Robbe, Cédric van hoorickx, Geert Lombaert, Stefan Vandewalle

CoRR, 2018

2017

A Multi-Index Quasi-Monte Carlo Algorithm for Lognormal Diffusion Problems.

Pieterjan Robbe, Dirk Nuyens, Stefan Vandewalle

SIAM J. Sci. Comput., 2017