Bayesian Deep Learning for Partial Differential Equation Parameter Discovery with Sparse and Noisy Data.
Christophe BonnevilleChristopher J. EarlsPublished in: CoRR (2021)
Keyphrases
- noisy data
- deep learning
- partial differential equations
- high dimensional
- anisotropic diffusion
- image denoising
- unsupervised learning
- level set
- machine learning
- image processing
- image enhancement
- weakly supervised
- bayesian networks
- multiscale
- missing data
- high order
- data mining
- denoising
- noise removal
- high dimensionality
- sparse representation
- computer vision
- higher order
- missing values
- decision trees
- training data
- mental models
- training examples