Daan Crommelin

30 papers Misc 5Journal 20Unranked 5

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Reduced Data-Driven Turbulence Closure for Capturing Long-Term Statistics. CoRR Rik Hoekstra, Daan Crommelin, Wouter Edeling
2023	J	`jnl`	Comparison of neural closure models for discretised PDEs. Comput. Math. Appl. Hugo Melchers, Daan Crommelin, Barry Koren, Vlado Menkovski, Benjamin Sanderse
2022	J	`jnl`	Comparison of neural closure models for discretised PDEs. CoRR Hugo Melchers, Daan Crommelin, Barry Koren, Vlado Menkovski, Benjamin Sanderse
2021	—	`conf`	Performance optimization and load-balancing modeling for superparametrization by 3D LES. PASC Gijs van den Oord, Maria Chertova, Fredrik Jansson, F. Inti Pelupessy, Pier Siebesma, Daan Crommelin
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`	A Python interface to the Dutch Atmospheric Large-Eddy Simulation. SoftwareX Gijs van den Oord, Fredrik Jansson, F. Inti Pelupessy, Maria Chertova, Johanna H. Grönqvist, Pier Siebesma, Daan Crommelin
2020	J	`jnl`	Computing first passage times for Markov-modulated fluid models using numerical PDE problem solvers. CoRR Debarati Bhaumik, Marko A. A. Boon, Daan Crommelin, Barry Koren, Bert Zwart
2020	J	`jnl`	Resampling with neural networks for stochastic parameterization in multiscale systems. CoRR Daan Crommelin, Wouter Edeling
2020	J	`jnl`	Stochastic parameterization with VARX processes. CoRR Nick Verheul, Daan Crommelin
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`	Creating a Reusable Cross-Disciplinary Multi-scale and Multi-physics Framework: From AMUSE to OMUSE and Beyond. ICCS (4) 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
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	J	`jnl`	Quantifying Data Dependencies with Rényi Mutual Information and Minimum Spanning Trees. Entropy Anne Eggels, Daan Crommelin
2019	—	`conf`	Towards Data-Driven Dynamic Surrogate Models for Ocean Flow. PASC Wouter Edeling, Daan Crommelin
2018	J	`jnl`	Controlling the Time Discretization Bias for the Supremum of Brownian Motion. ACM Trans. Model. Comput. Simul. Krzysztof Bisewski, Daan Crommelin, Michel Mandjes
2018	—	`conf`	Resolving Clouds in a Global Atmosphere Model - A Multiscale Approach with Nested Models. eScience Fredrik Jansson, Gijs van den Oord, Pier Siebesma, Daan Crommelin
2018	Misc	`conf`	Simulation-based Assessment of the stationary Tail Distribution of a stochastic differential equation. WSC Krzysztof Bisewski, Daan Crommelin, Michel Mandjes
2016	Misc	`conf`	A computational method for optimizing storage placement to maximize power network reliability. WSC Debarati Bhaumik, Daan Crommelin, Bert Zwart
2015	Misc	`conf`	Efficient estimator of probabilities of large power spills in an stand-alone system with wind generation and storage. WSC Debarati Bhaumik, Daan Crommelin, Bert Zwart
2014	Misc	`conf`	A separated splitting technique for disconnected rare event sets. WSC Wander Wadman, Daan Crommelin, Jason Frank
2013	Misc	`conf`	Applying a splitting technique to estimate electrical grid reliability. WSC Wander Wadman, Daan Crommelin, Jason Frank
2011	J	`jnl`	Diffusion Estimation from Multiscale Data by Operator Eigenpairs. Multiscale Model. Simul. Daan Crommelin, Eric Vanden-Eijnden
2010	J	`jnl`	Stochastics and Computation for Turbulent Systems. ERCIM News Daan Crommelin, Jason Frank
2009	J	`jnl`	Data-Based Inference of Generators for Markov Jump Processes Using Convex Optimization. Multiscale Model. Simul. Daan Crommelin, Eric Vanden-Eijnden
2008	J	`jnl`	Clouds by Chance: Improving Atmosphere Models with Random Numbers. ERCIM News Daan Crommelin
2006	J	`jnl`	Fitting timeseries by continuous-time Markov chains: A quadratic programming approach. J. Comput. Phys. Daan Crommelin, Eric Vanden-Eijnden