Variational inference for nonlinear ordinary differential equations.
Sanmitra GhoshPaul BirrellDaniela De AngelisPublished in: AISTATS (2021)
Keyphrases
- ordinary differential equations
- variational inference
- bayesian inference
- differential equations
- dynamic systems
- topic models
- posterior distribution
- variational methods
- probabilistic model
- gaussian process
- latent dirichlet allocation
- mathematical models
- mixture model
- partial differential equations
- closed form
- numerical solution
- biological systems
- approximate inference
- parameter estimation
- latent variables
- complex systems
- bayesian framework
- graphical models
- feature selection
- knowledge discovery
- probability distribution
- level set
- hyperparameters
- conditional probabilities
- prior information
- high order