OpenTURNS Presentations
- SIAM-UQ 2016
- Uncecomp 2017
- EuroSciPy 2017
- SIAM-UQ 2018
- Uncecomp 2019
- SIAM-UQ 2020
- User day 2019
- User day 2020
- Group kernels for Gaussian process metamodels with categorical inputs
- Release highlights
- Probabilistic analyses of a spatial vehicle equipment bay
- Uncertainties in civil engineering: A FE-model based process for research and applications
- New calibration and coupling features in PERSALYS v8
- Gaussian process approximation of a multidisciplinary system and sensitivity analysis to model uncertainty
- Immersive and interactive scientific visualisation with Skyreal linked to OpenTURNS
- Understanding and improvement of ingot manufacturing process using a numerical sensitivity analysis
- User day 2021
- Sensitivity analysis based on HSIC dependence measures
- Learning wall models for turbulent flow computations
- otbenchmark: an open source Python package for benchmarking and validating uncertainty quantification algorithms
- Probabilistic models for penstock integrity assessment
- Release highlights
- Metamodeling the water temperature
- Surrogate-base based system reliability analysis applied to space-variant problems modeled by random-fields
- Sensitivity analysis and uncertainty in CFD simulations of multiphase flow
- Interfacing a Modelica modeling tool and Persalys with OpenTURNS for the analysis of a solar collector
- Decoding neural signatures in an emergency driving situation using OT
- User day 2022
- User days introduction
- Release highlights
- Persalys release highlights
- Point process-based approaches for robust reliability analysis of systems modeled by expensive simulators
- Surrogate models and sensitivity analysis for simulation of electron guns of high-frequency & high-power amplification devices
- Copula-based iterative approximate Bayesian calibration for urban building energy modeling and impact of time resolution
- Sensitivity studies OD-1D/3D of thermo aeraulic models of industrial premises, assistance in the identification of influential phenomena and preparation of experimental protocols for the Zephyr test platform
- Correction of surface reflectance retrieval in the tree shadow by machine learning
- Variance based sensitivity analysis for functional inputs - Application to pilots' actions
- 1D site effects including spatial variability of soil properties
- The plugin otagrum: learning non-parametric Copula Bayesian Networks
- CHORUS
- Developer training:
- Robust optimization workshop:
- High dimension meta-modeling workshop:
- A.I. technics for physical simulation (CERFACS)
- Meta-modeling and global sensitivity analysis in large dimension in fluvial hydrodynamics (CERFACS)
- Physical constraints for generative adversial networks (ONERA)
- High dimension meta-modeling as a preconditioner for aeroacoustic simulation (Airbus)
- Auto-associative models as a nonlinear PCA for dimension reduction (Phimeca)
- SIAM-UQ 2022