Towards Efficient Modeling and Inference in Multi-Dimensional Gaussian Process State-Space Models.
Zhidi LinJuan MaroñasYing LiFeng YinSergios TheodoridisPublished in: ICASSP (2024)
Keyphrases
- gaussian process
- multi dimensional
- covariance function
- gaussian processes
- gaussian process models
- dynamical models
- state space
- variational inference
- model selection
- bayesian framework
- dynamical systems
- gaussian process regression
- expectation propagation
- hyperparameters
- probabilistic model
- dynamic bayesian networks
- regression model
- dynamical model
- bayesian networks
- gaussian process classification
- bayesian inference
- approximate inference
- latent variables
- generative model
- prior knowledge
- reinforcement learning
- human pose estimation
- semi supervised