Uncertainty Quantification in Deep Neural Networks through Statistical Inference on Latent Space.
Luigi SbailòLuca M. GhiringhelliPublished in: CoRR (2023)
Keyphrases
- statistical inference
- latent space
- neural network
- model selection
- latent variables
- gaussian process
- bayesian inference
- statistical learning
- graphical models
- low dimensional
- generative model
- manifold learning
- dimensionality reduction
- parameter space
- feature space
- matrix factorization
- pattern recognition
- gaussian processes
- gaussian process latent variable models
- lower dimensional
- machine learning
- distance metric
- statistical methods
- hyperparameters
- probabilistic latent semantic analysis
- cross validation
- high dimensional data
- probabilistic model
- high dimensional
- semi supervised learning
- knowledge discovery
- reinforcement learning
- feature extraction
- face recognition
- information retrieval
- data sets