Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients.
Marc HärkönenMarkus Lange-HegermannBogdan RaitaPublished in: ICML (2023)
Keyphrases
- gaussian process
- partial differential equations
- bayesian framework
- gaussian processes
- level set
- prior knowledge
- image processing
- image enhancement
- regression model
- semi supervised
- numerical solution
- closed form
- approximate inference
- gaussian process regression
- linear combination
- state space
- pairwise
- high order
- support vector
- multiscale
- hyperparameters
- image segmentation
- learning algorithm
- linear systems