Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations.
Maziar RaissiPublished in: CoRR (2018)
Keyphrases
- partial differential equations
- deep learning
- forward backward
- neural network
- high dimensional
- ambrosio tortorelli
- image denoising
- anisotropic diffusion
- level set
- hidden markov models
- numerical solution
- unsupervised learning
- image processing
- dimensionality reduction
- unsupervised feature learning
- pattern recognition
- multiscale
- image enhancement
- numerical methods
- weakly supervised
- machine learning
- numerical algorithms
- mental models
- differential equations
- feature space
- object detection
- data points
- denoising
- image analysis