Probabilistic learning on manifolds for the small-data challenge in Uncertainty Quantification

Christian Soize (1)

1 MSME - Laboratoire de Modélisation et Simulation Multi Echelle

Domaines: Sciences de l'ingénieur [physics]; Probabilités [math.PR]; Statistiques [math.ST]

Christian Soize. Probabilistic learning on manifolds for the small-data challenge in Uncertainty Quantification. International Conference on Uncertainty Quantification and Optimization (UQOP), Mar 2019, Paris, France. ⟨hal-02100289⟩