Theme Meta-Modelling
Presentation
This research theme designs and proposes integrated software solutions for stochastic discrete-event simulations. We use high-performance computing and pay particular attention to the numerical reproducibility of the results. Applications range from environmental modeling software to nuclear medicine simulations.
Keywords:
- Stochastic Discrete-Event Simulation
- High Performance Computing
- Numerical reproducibility
Last publications
Mireille Batton-Hubert, Eric Desjardin, François Pinet - Aug. 5, 2019
Imperfection and Geographic Information
Mireille Batton-Hubert, Eric Desjardin, François Pinet - Aug. 5, 2019
Formalisms and Representations of Imperfect Geographic Objects
Mireille Batton-Hubert, Eric Desjardin, François Pinet - Aug. 5, 2019
Formalisms and Representations of Imperfect Geographic Objects
Mireille Batton-Hubert, Eric Desjardin, François Pinet - Aug. 5, 2019
Front Matter : Geographic Data Imperfection 1: From Theory to Applications
Andrés F. López-Lopera, St John, Nicolas Durrande - May 6, 2019
Gaussian Process Modulated Cox Processes under Linear Inequality Constraints
Andrés F. López-Lopera, Nicolas Durrande, Mauricio A. Álvarez - April 19, 2019
Physically-Inspired Gaussian Process Models for Post-Transcriptional Regulation in Drosophila
Andrés F. López-Lopera, François Bachoc, Nicolas Durrande, Olivier Roustant - April 19, 2019
Approximating Gaussian Process Emulators with Linear Inequality Constraints and Noisy Observations via MC and MCMC
Andrés F. López-Lopera, John St, Nicolas Durrande - April 16, 2019
Finite-dimensional Gaussian approximation with linear inequality constraints
22nd International Conference on Artificial Intelligence and Statistics (AISTATS) 2019
Simon Carladous, Jean-Marc Tacnet, Jean Dezert, Mireille Batton-Hubert - April 2, 2019
Decision-Aid Methods Based on Belief Function Theory with Application to Torrent Protection
Jules Djoko, Jonas Koko, Radek Kucera - March 18, 2019
Power law Stokes equations with threshold slip boundary conditions: Numerical methods and implementation
Mathematical Methods in the Applied Sciences
Imperfection and Geographic Information
Mireille Batton-Hubert, Eric Desjardin, François Pinet - Aug. 5, 2019
Formalisms and Representations of Imperfect Geographic Objects
Mireille Batton-Hubert, Eric Desjardin, François Pinet - Aug. 5, 2019
Formalisms and Representations of Imperfect Geographic Objects
Mireille Batton-Hubert, Eric Desjardin, François Pinet - Aug. 5, 2019
Front Matter : Geographic Data Imperfection 1: From Theory to Applications
Andrés F. López-Lopera, St John, Nicolas Durrande - May 6, 2019
Gaussian Process Modulated Cox Processes under Linear Inequality Constraints
Andrés F. López-Lopera, Nicolas Durrande, Mauricio A. Álvarez - April 19, 2019
Physically-Inspired Gaussian Process Models for Post-Transcriptional Regulation in Drosophila
Andrés F. López-Lopera, François Bachoc, Nicolas Durrande, Olivier Roustant - April 19, 2019
Approximating Gaussian Process Emulators with Linear Inequality Constraints and Noisy Observations via MC and MCMC
Andrés F. López-Lopera, John St, Nicolas Durrande - April 16, 2019
Finite-dimensional Gaussian approximation with linear inequality constraints
22nd International Conference on Artificial Intelligence and Statistics (AISTATS) 2019
Simon Carladous, Jean-Marc Tacnet, Jean Dezert, Mireille Batton-Hubert - April 2, 2019
Decision-Aid Methods Based on Belief Function Theory with Application to Torrent Protection
Jules Djoko, Jonas Koko, Radek Kucera - March 18, 2019
Power law Stokes equations with threshold slip boundary conditions: Numerical methods and implementation
Mathematical Methods in the Applied Sciences
All publications are here