Physics-Informed Machine Learning of Dynamical Systems for Efficient Bayesian Inference.
Somayajulu L. N. DhulipalaYifeng CheMichael D. ShieldsPublished in: CoRR (2022)
Keyphrases
- bayesian inference
- dynamical systems
- machine learning
- statistical inference
- probabilistic model
- dynamic systems
- dynamical behavior
- hyperparameters
- differential equations
- bayesian model
- prior information
- nonlinear dynamical systems
- state space
- text mining
- qualitative simulation
- decision trees
- hidden markov models
- reinforcement learning
- hidden variables
- image segmentation
- inference process
- phase space
- expectation propagation
- predictive state representations