Pierre Jacquier
Pierre Jacquier
M.Sc., Ecole de Technogie Supérieure
Verified email at ens.etsmtl.ca - Homepage
Title
Cited by
Cited by
Year
Non-intrusive reduced-order modeling using uncertainty-aware Deep Neural Networks and Proper Orthogonal Decomposition: Application to flood modeling
P Jacquier, A Abdedou, V Delmas, A Soulaïmani
Journal of Computational Physics 424, 109854, 2021
152021
Deep learning methods for high-dimensional fluid dynamics problems: application to flood modeling with uncertainty quantification
P Jacquier
École de technologie supérieure, 2020
2020
UNCERTAINTY-AWARE DEEP NEURAL NETWORKS AND PROPER ORTHOGONAL DECOMPOSITION: APPLICATION TO FLOOD MODELING
P Jacquier, A Abdedou, V Delmas, A Soulaïmani
arXiv preprint arXiv:2005.13506, 2020
2020
Reduced-Order Flood Modeling Using Uncertainty-Aware Deep Neural Networks
P Jacquier, A Abdedou, A Soulaïmani
EGU General Assembly Conference Abstracts, 3726, 2020
2020
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Articles 1–4