Out of Distribution Detection via Domain-Informed Gaussian Process State Space Models.
Alonso MarcoElias MorleyClaire J. TomlinPublished in: CoRR (2023)
Keyphrases
- gaussian process
- gaussian processes
- state space
- bayesian framework
- covariance function
- model selection
- gaussian process regression
- conditional distribution
- gaussian process models
- dynamical models
- probability distribution
- dynamical model
- probabilistic model
- latent variables
- gaussian process classification
- approximate inference
- hyperparameters
- incomplete data
- clustering algorithm
- random variables
- graph cuts
- maximum likelihood
- dynamic programming
- bayesian networks
- similarity measure