Deep learning based numerical approximation algorithms for stochastic partial differential equations and high-dimensional nonlinear filtering problems.
Christian BeckSebastian BeckerPatrick CheriditoArnulf JentzenAriel NeufeldPublished in: CoRR (2020)
Keyphrases
- approximation algorithms
- partial differential equations
- deep learning
- numerical methods
- high dimensional
- anisotropic diffusion
- nonlinear filtering
- np hard
- unsupervised learning
- image denoising
- special case
- worst case
- dimensionality reduction
- image processing
- level set
- nonlinear filters
- image compression
- higher order
- image analysis
- pairwise