Variational Inference for Continuous-Time Switching Dynamical Systems.
Lukas KöhsBastian AltHeinz KoepplPublished in: CoRR (2021)
Keyphrases
- dynamical systems
- variational inference
- bayesian inference
- linear dynamical systems
- topic models
- probabilistic graphical models
- probabilistic model
- variational methods
- posterior distribution
- mixture model
- gaussian process
- latent dirichlet allocation
- dynamic systems
- closed form
- exponential family
- exact inference
- state space
- approximate inference
- graphical models
- hyperparameters
- factor graphs
- statistical model
- latent variables
- multiscale
- bayesian framework
- probability distribution
- markov networks
- optic flow
- machine learning
- image sequences
- prior knowledge
- bayesian networks
- message passing
- belief propagation
- cross validation
- sample size
- parameter estimation
- generative model
- model selection
- markov chain
- maximum likelihood
- scale space
- text mining