Daan Crommelin

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 22

Top Topics

Minimum Spanning Trees

Brownian Motion

Top Venues

Publications

Rik Hoekstra, Daan Crommelin, Wouter Edeling
Reduced Data-Driven Turbulence Closure for Capturing Long-Term Statistics. CoRR (2024)
Hugo Melchers, Daan Crommelin, Barry Koren, Vlado Menkovski, Benjamin Sanderse
Comparison of neural closure models for discretised PDEs. Comput. Math. Appl. 143 (2023)
Hugo Melchers, Daan Crommelin, Barry Koren, Vlado Menkovski, Benjamin Sanderse
Comparison of neural closure models for discretised PDEs. CoRR (2022)
Federica Gugole, Luc E. Coffeng, Wouter Edeling, Benjamin Sanderse, Sake J. De Vlas, Daan Crommelin
Uncertainty quantification and sensitivity analysis of COVID-19 exit strategies in an individual-based transmission model. PLoS Comput. Biol. 17 (9) (2021)
Wouter Edeling, Daan Crommelin
The Case for Uncertainty in COVID19 Predictions. ERCIM News 2021 (124) (2021)
Wouter Edeling, Hamid Arabnejad, Robert Sinclair, Diana Suleimenova, Krishnakumar Gopalakrishnan, Bartosz Bosak, Derek Groen, Imran Mahmood, Daan Crommelin, Peter V. Coveney
The impact of uncertainty on predictions of the CovidSim epidemiological code. Nat. Comput. Sci. 1 (2) (2021)
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
Tutorial applications for Verification, Validation and Uncertainty Quantification using VECMA toolkit. J. Comput. Sci. 53 (2021)
Gijs van den Oord, Maria Chertova, Fredrik Jansson, F. Inti Pelupessy, Pier Siebesma, Daan Crommelin
Performance optimization and load-balancing modeling for superparametrization by 3D LES. PASC (2021)
Nick Verheul, Daan Crommelin
Stochastic parameterization with VARX processes. CoRR (2020)
Daan Crommelin, Wouter Edeling, Fredrik Jansson
Tackling the Multiscale Challenge of Climate Modelling. ERCIM News 2020 (121) (2020)
Gijs van den Oord, Fredrik Jansson, F. Inti Pelupessy, Maria Chertova, Johanna H. Grönqvist, Pier Siebesma, Daan Crommelin
A Python interface to the Dutch Atmospheric Large-Eddy Simulation. SoftwareX 12 (2020)
Debarati Bhaumik, Marko A. A. Boon, Daan Crommelin, Barry Koren, Bert Zwart
Computing first passage times for Markov-modulated fluid models using numerical PDE problem solvers. CoRR (2020)
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, N. 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
VECMAtk: A Scalable Verification, Validation and Uncertainty Quantification Toolkit for Scientific Simulations. CoRR (2020)
Daan Crommelin, Wouter Edeling
Resampling with neural networks for stochastic parameterization in multiscale systems. CoRR (2020)
Wouter Edeling, Daan Crommelin
Towards Data-Driven Dynamic Surrogate Models for Ocean Flow. PASC (2019)
F. Inti Pelupessy, Simon Portegies Zwart, Arjen van Elteren, Henk A. Dijkstra, Fredrik Jansson, Daan Crommelin, Pier Siebesma, Ben van Werkhoven, Gijs van den Oord
Creating a Reusable Cross-Disciplinary Multi-scale and Multi-physics Framework: From AMUSE to OMUSE and Beyond. ICCS (4) (2019)
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
Introducing VECMAtk - Verification, Validation and Uncertainty Quantification for Multiscale and HPC Simulations. ICCS (4) (2019)
Anne Eggels, Daan Crommelin
Quantifying Data Dependencies with Rényi Mutual Information and Minimum Spanning Trees. Entropy 21 (2) (2019)
Krzysztof Bisewski, Daan Crommelin, Michel Mandjes
Simulation-based Assessment of the stationary Tail Distribution of a stochastic differential equation. WSC (2018)
Krzysztof Bisewski, Daan Crommelin, Michel Mandjes
Controlling the Time Discretization Bias for the Supremum of Brownian Motion. ACM Trans. Model. Comput. Simul. 28 (3) (2018)
Fredrik Jansson, Gijs van den Oord, Pier Siebesma, Daan Crommelin
Resolving Clouds in a Global Atmosphere Model - A Multiscale Approach with Nested Models. eScience (2018)
Debarati Bhaumik, Daan Crommelin, Bert Zwart
A computational method for optimizing storage placement to maximize power network reliability. WSC (2016)
Debarati Bhaumik, Daan Crommelin, Bert Zwart
Efficient estimator of probabilities of large power spills in an stand-alone system with wind generation and storage. WSC (2015)
Wander Wadman, Daan Crommelin, Jason Frank
A separated splitting technique for disconnected rare event sets. WSC (2014)
Wander Wadman, Daan Crommelin, Jason Frank
Applying a splitting technique to estimate electrical grid reliability. WSC (2013)
Daan Crommelin, Eric Vanden-Eijnden
Diffusion Estimation from Multiscale Data by Operator Eigenpairs. Multiscale Model. Simul. 9 (4) (2011)
Daan Crommelin, Jason Frank
Stochastics and Computation for Turbulent Systems. ERCIM News 2010 (81) (2010)
Daan Crommelin, Eric Vanden-Eijnden
Data-Based Inference of Generators for Markov Jump Processes Using Convex Optimization. Multiscale Model. Simul. 7 (4) (2009)
Daan Crommelin
Clouds by Chance: Improving Atmosphere Models with Random Numbers. ERCIM News 2008 (73) (2008)
Daan Crommelin, Eric Vanden-Eijnden
Fitting timeseries by continuous-time Markov chains: A quadratic programming approach. J. Comput. Phys. 217 (2) (2006)