Uncertainty Quantification via Neural Posterior Principal Components.
Elias NehmeOmer YairTomer MichaeliPublished in: NeurIPS (2023)
Keyphrases
- principal components
- principal component analysis
- correlation coefficient
- multivariate data
- neural network
- dimensionality reduction
- network architecture
- kernel space
- hyperplane
- principal components analysis
- feature set
- bayesian framework
- posterior distribution
- probability distribution
- kernel principal component analysis
- low dimensional
- covariance matrix
- pattern recognition
- principal component regression
- hyperspectral
- probabilistic model
- high dimensional
- computer vision
- machine learning