Pieterjan Robbe

18 papers Journal 16Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
QMCPy: A Python Framework for (Quasi-)Monte Carlo Algorithms.
J. Open Source Softw.
Aleksei G. Sorokin, Fred J. Hickernell, Sou-Cheng T. Choi, Rathinavel Jagadeeswaran, Pieterjan Robbe, Aadit Jain
2026 J jnl
Towards Spatio-Temporal Extrapolation of Phase-Field Simulations with Convolution-Only Neural Networks.
CoRR
Christophe Bonneville, Nathan Bieberdorf, Pieterjan Robbe, Mark Asta, Habib N. Najm, Laurent Capolungo, Cosmin Safta
2025 J jnl
A Comparison of Surrogate Constitutive Models for Viscoplastic Creep Simulation of HT-9 Steel.
CoRR
Pieterjan Robbe, Andre Ruybalid, Arun Hegde, Christophe Bonneville, Habib N. Najm, Laurent Capolungo, Cosmin Safta
2025 J jnl
Extrapolating Phase-Field Simulations in Space and Time with Purely Convolutional Architectures.
CoRR
Christophe Bonneville, Nathan Bieberdorf, Pieterjan Robbe, Mark Asta, Habib N. Najm, Laurent Capolungo, Cosmin Safta
2025 — conf
Fast Gaussian process regression for high dimensional functions with derivative information.
ProbNum
Aleksei G. Sorokin, Pieterjan Robbe, Fred J. Hickernell
2023 J jnl
GaussianRandomFields.jl: A Julia package to generate and sample from Gaussian random fields.
J. Open Source Softw.
Pieterjan Robbe
2023 J jnl
Multi-fidelity uncertainty quantification for homogenization problems in structure-property relationships from crystal plasticity finite elements.
CoRR
Anh Tran, Pieterjan Robbe, Theron Rodgers, Hojun Lim
2022 J jnl
Multilevel asymptotic-preserving Monte Carlo for kinetic-diffusive particle simulations of the Boltzmann-BGK equation.
J. Comput. Phys.
Bert Mortier, Pieterjan Robbe, Martine Baelmans, Giovanni Samaey
2021 J jnl
Enhanced multi-index Monte Carlo by means of multiple semicoarsened multigrid for anisotropic diffusion problems.
Numer. Linear Algebra Appl.
Pieterjan Robbe, Dirk Nuyens, Stefan Vandewalle
2020 J jnl
Multilevel Asymptotic-Preserving Monte Carlo for Particle Simulations.
CoRR
Bert Mortier, Pieterjan Robbe
2020 — conf
On the Selection of Random Field Evaluation Points in the p-MLQMC Method.
MCQMC
Philippe Blondeel, Pieterjan Robbe, Stijn François, Geert Lombaert, Stefan Vandewalle
2020 J jnl
On the Selection of Random Field Evaluation Points in the p-MLQMC Method.
CoRR
Philippe Blondeel, Pieterjan Robbe, Stijn François, Geert Lombaert, Stefan Vandewalle
2020 J jnl
p-Refined Multilevel Quasi-Monte Carlo for Galerkin Finite Element Methods with Applications in Civil Engineering.
Algorithms
Philippe Blondeel, Pieterjan Robbe, Cédric van hoorickx, Stijn François, Geert Lombaert, Stefan Vandewalle
2019 J jnl
Enhanced Multi-Index Monte Carlo by means of Multiple Semi-Coarsened Multigrid for Anisotropic Diffusion Problems.
CoRR
Pieterjan Robbe, Dirk Nuyens, Stefan Vandewalle
2019 J jnl
Recycling Samples in the Multigrid Multilevel (Quasi-)Monte Carlo Method.
SIAM J. Sci. Comput.
Pieterjan Robbe, Dirk Nuyens, Stefan Vandewalle
2019 J jnl
h- and p-refined Multilevel Monte Carlo Methods for Uncertainty Quantification in Structural Engineering.
CoRR
Philippe Blondeel, Pieterjan Robbe, Cédric van hoorickx, Geert Lombaert, Stefan Vandewalle
2018 J jnl
Multilevel Monte Carlo for uncertainty quantification in structural engineering.
CoRR
Philippe Blondeel, Pieterjan Robbe, Cédric van hoorickx, Geert Lombaert, Stefan Vandewalle
2017 J jnl
A Multi-Index Quasi-Monte Carlo Algorithm for Lognormal Diffusion Problems.
SIAM J. Sci. Comput.
Pieterjan Robbe, Dirk Nuyens, Stefan Vandewalle