Out of Distribution Detection via Domain-Informed Gaussian Process State Space Models.
Alonso MarcoElias MorleyClaire J. TomlinPublished in: CDC (2023)
Keyphrases
- gaussian process
- state space
- model selection
- gaussian processes
- bayesian framework
- covariance function
- gaussian process models
- conditional distribution
- regression model
- gaussian process regression
- hyperparameters
- dynamical models
- semi supervised
- approximate inference
- expectation propagation
- machine learning
- noisy images
- maximum a posteriori
- exponential family
- transfer learning
- dynamical model
- sample size
- prior knowledge
- feature selection