Uncertainty Quantification via Neural Posterior Principal Components.
Elias NehmeOmer YairTomer MichaeliPublished in: CoRR (2023)
Keyphrases
- principal components
- principal component analysis
- network architecture
- dimensionality reduction
- multivariate data
- neural network
- kernel space
- probability distribution
- principal components analysis
- hyperplane
- correlation coefficient
- covariance matrix
- bayesian framework
- probabilistic model
- gaussian process
- feature extraction
- conditional probabilities
- feature set
- spectral data
- posterior distribution
- principal component regression
- posterior probability
- feature space
- pattern recognition
- learning algorithm