Differential geometry and stochastic dynamics with deep learning numerics.

Line Kühnel Stefan Sommer Alexis Arnaudon

Published in: Appl. Math. Comput. (2019)

Keyphrases

deep learning
differential geometry
unsupervised learning
infinite dimensional
machine learning
riemannian manifolds
structure tensor
mental models
weakly supervised
closed curves
shape space
euclidean space
energy function
higher order
co occurrence
active learning
multiscale
bayesian networks