Monte Carlo PINNs: deep learning approach for forward and inverse problems involving high dimensional fractional partial differential equations.
Ling GuoHao WuXiaochen YuTao ZhouPublished in: CoRR (2022)
Keyphrases
- problems involving
- monte carlo
- partial differential equations
- deep learning
- high dimensional
- matrix inversion
- image denoising
- anisotropic diffusion
- level set
- unsupervised learning
- markov chain
- dimensionality reduction
- image processing
- image enhancement
- multiscale
- data points
- high dimensional data
- optimization problems
- weakly supervised
- monte carlo tree search
- multiple objectives
- particle filter
- machine learning
- mental models
- neural network
- edge detection
- denoising
- feature space
- data mining