Wouter Edeling

19 papers Journal 16Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Energy-Conserving Neural Network Closure Model for Long-Time Accurate and Stable LES.
CoRR
Toby van Gastelen, Wouter Edeling, Benjamin Sanderse
2025 J jnl
Sensitivity analysis of high-dimensional models with correlated inputs.
J. Comput. Sci.
Juraj Kardos, Wouter Edeling, Diana Suleimenova, Derek Groen, Olaf Schenk
2024 J jnl
Energy-conserving neural network for turbulence closure modeling.
J. Comput. Phys.
Toby van Gastelen, Wouter Edeling, Benjamin Sanderse
2024 J jnl
Modeling Advection-Dominated Flows with Space-Local Reduced-Order Models.
CoRR
Toby van Gastelen, Wouter Edeling, Benjamin Sanderse
2024 J jnl
Reduced Data-Driven Turbulence Closure for Capturing Long-Term Statistics.
CoRR
Rik Hoekstra, Daan Crommelin, Wouter Edeling
2023 J jnl
Energy-Conserving Neural Network for Turbulence Closure Modeling.
CoRR
Toby van Gastelen, Wouter Edeling, Benjamin Sanderse
2023 J jnl
FabSim3: An automation toolkit for verified simulations using high performance computing.
Comput. Phys. Commun.
Derek Groen, Hamid Arabnejad, Diana Suleimenova, Wouter Edeling, Erwan Raffin, Yani Xue, Kevin Bronik, Nicolas Monnier, Peter V. Coveney
2023 J jnl
On the Deep Active-Subspace Method.
SIAM/ASA J. Uncertain. Quantification
Wouter Edeling
2023 J jnl
Sensitivity Analysis of High-Dimensional Models with Correlated Inputs.
CoRR
Juraj Kardos, Wouter Edeling, Diana Suleimenova, Derek Groen, Olaf Schenk
2022 — conf
Automated Variance-Based Sensitivity Analysis of a Heterogeneous Atomistic-Continuum System.
ICCS (4)
Kevin Bronik, Werner Muller Roa, Maxime Vassaux, Wouter Edeling, Peter V. Coveney
2021 J jnl
The Case for Uncertainty in COVID19 Predictions.
ERCIM News
Wouter Edeling, Daan Crommelin
2021 J jnl
The impact of uncertainty on predictions of the CovidSim epidemiological code.
Nat. Comput. Sci.
Wouter Edeling, Hamid Arabnejad, Robert Sinclair, Diana Suleimenova, Krishnakumar Gopalakrishnan, Bartosz Bosak, Derek Groen, Imran Mahmood, Daan Crommelin, Peter V. Coveney
2021 J jnl
Tutorial applications for Verification, Validation and Uncertainty Quantification using VECMA toolkit.
J. Comput. Sci.
Diana Suleimenova, Hamid Arabnejad, Wouter Edeling, David Coster, Onnie O. Luk, Jalal Lakhlili, Vytautas Jancauskas, Michal Kulczewski, Lourens E. Veen, Dongwei Ye, Pavel Zun, Valeria V. Krzhizhanovskaya, Alfons G. Hoekstra, Daan Crommelin, Peter V. Coveney, Derek Groen
2021 J jnl
Uncertainty quantification and sensitivity analysis of COVID-19 exit strategies in an individual-based transmission model.
PLoS Comput. Biol.
Federica Gugole, Luc E. Coffeng, Wouter Edeling, Benjamin Sanderse, Sake J. De Vlas, Daan Crommelin
2020 J jnl
Resampling with neural networks for stochastic parameterization in multiscale systems.
CoRR
Daan Crommelin, Wouter Edeling
2020 J jnl
Tackling the Multiscale Challenge of Climate Modelling.
ERCIM News
Daan Crommelin, Wouter Edeling, Fredrik Jansson
2020 J jnl
VECMAtk: A Scalable Verification, Validation and Uncertainty Quantification Toolkit for Scientific Simulations.
CoRR
Derek Groen, Hamid Arabnejad, Vytautas Jancauskas, Wouter Edeling, Fredrik Jansson, Robin A. Richardson, Jalal Lakhlili, Linda van Veen, Bartosz Bosak, Piotr Kopta, D. W. Wright, Nicolas Monnier, Paul Karlshoefer, Diana Suleimenova, Robert Sinclair, Maxime Vassaux, Anna Nikishova, Mariusz Bieniek, Onnie O. Luk, Michal Kulczewski, Erwan Raffin, Daan Crommelin, Olivier Hoenen, David P. Coster, Tomasz Piontek, Peter V. Coveney
2019 — conf
Introducing VECMAtk - Verification, Validation and Uncertainty Quantification for Multiscale and HPC Simulations.
ICCS (4)
Derek Groen, Robin A. Richardson, David W. Wright, Vytautas Jancauskas, Robert Sinclair, Paul Karlshoefer, Maxime Vassaux, Hamid Arabnejad, Tomasz Piontek, Piotr Kopta, Bartosz Bosak, Jalal Lakhlili, Olivier Hoenen, Diana Suleimenova, Wouter Edeling, Daan Crommelin, Anna Nikishova, Peter V. Coveney
2019 — conf
Towards Data-Driven Dynamic Surrogate Models for Ocean Flow.
PASC
Wouter Edeling, Daan Crommelin