Space-time deep neural network approximations for high-dimensional partial differential equations.
Fabian HornungArnulf JentzenDiyora SalimovaPublished in: CoRR (2020)
Keyphrases
- space time
- partial differential equations
- neural network
- high dimensional
- numerical methods
- anisotropic diffusion
- difference equations
- spatio temporal
- spatial and temporal
- level set
- image processing
- video sequences
- numerical solution
- image denoising
- dynamic scenes
- multiscale
- fourth order
- image enhancement
- differential equations
- curve evolution
- variational methods
- numerical algorithms
- parameter space
- energy functional
- pattern recognition
- denoising
- lattice boltzmann
- conservation laws
- discrete data
- high quality
- machine learning