Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning.
Julius BernerMarkus DablanderPhilipp GrohsPublished in: NeurIPS (2020)
Keyphrases
- partial differential equations
- deep learning
- high dimensional
- finite difference method
- level set
- numerical solution
- anisotropic diffusion
- image denoising
- unsupervised feature learning
- multiscale
- image processing
- unsupervised learning
- numerical methods
- machine learning
- image enhancement
- numerical algorithms
- differential equations
- high order
- dimensionality reduction
- high dimensional data
- denoising
- mental models
- feature space
- data points
- object recognition