| QUANTIFYING UNCERTAIN SYSTEM OUTPUTS VIA THE MULTI-LEVEL MONTE CARLO METHOD− DISTRIBUTION AND ROBUSTNESS MEASURES Q Ayoul-Guilmard, S Ganesh, S Krumscheid, F Nobile International Journal for Uncertainty Quantification 13 (5), 2023 | 6 | 2023 |
| ExaQUte XMC R Amela, Q Ayoul-Guilmard, RM Badia, S Ganesh, F Nobile, R Rossi, ... Comp. software. ExaQUte consortium, 2020 | 6 | 2020 |
| Gradient-based optimisation of the conditional-value-at-risk using the multi-level Monte Carlo method S Ganesh, F Nobile Journal of Computational Physics 495, 112523, 2023 | 5 | 2023 |
| D6. 4 Report on stochastic optimisation for unsteady problems Q Ayoul-Guilmard, F Nobile, S Ganesh, M Nuñez, A Kodakkal, R Rossi, ... Open Access Repository of the ExaQUte project: Deliverables 9, 2021 | 2 | 2021 |
| D5. 2 Release of ExaQUte MLMC Python engine R Amela, Q Ayoul-Guilmard, RM Badia, S Ganesh, F Nobile, R Rossi, ... May, 2019 | 2 | 2019 |
| D5. 5 Report on the application of multi-level Monte Carlo to wind engineering Q Ayoul-Guilmard, F Nobile, S Ganesh, M Nuñez, R Tosi, C Soriano, ... | | 2022 |
| D6. 5 Report on stochastic optimisation for wind engineering F Nobile, Q Ayoul-Guilmard, S Ganesh, M Nuñez, A Kodakkal, C Soriano, ... | | 2022 |
| Multi-Level Monte Carlo Methods for Uncertainty Quantification and Risk-Averse Optimisation SS Ganesh EPFL, 2022 | | 2022 |
| ExaQUte: D1. 4 Final public release of the solver Q Ayoul-Guilmard, S Ganesh, F Nobile, RM Badia Sala, J Ejarque, ... | | 2020 |
| ExaQUte: D5. 4 Report on MLMC for time dependent problems Q Ayoul-Guilmard, S Ganesh, M Núñez Corbacho, R Tosi, F Nobile, ... | | 2020 |
| ExaQUte: D5. 3 Report on theoretical work to allow the use of MLMC with adaptive mesh refinement Q Ayoul-Guilmard, S Ganesh, M Núñez Corbacho, R Tosi, F Nobile, ... | | 2020 |
| ExaQUte: D1. 3 First public release of the solver Q Ayoul-Guilmard, RM Badia Sala, J Ejarque, S Ganesh, F Nobile, ... | | 2020 |
| Chaotic Sensitivity Analysis using Shadow Operator Inversion S Ganesh, S Mavros | | 2018 |
| CSQI F Bonizzoni, R Bordelais, SS Ganesh, C Garcia Pareja, DM Goutaudier, ... | | |
| Gradient-based optimization under uncertainties applied to potential flow airfoil optimization using adjoint sensitivity analysis M Nuñez, J Baiges, R Rossi, B Keith, Q Ayoul-Guilmard, S Ganesh, ... | | |
Fabio NobileMATH - CSQI, Ecole Polytechnique Fédérale de Lausanne (EPFL)在 epfl.ch 的电子邮件经过验证
