ODE$^2$VAE: Deep generative second order ODEs with Bayesian neural networks.
Çagatay YildizMarkus HeinonenHarri LähdesmäkiPublished in: CoRR (2019)
Keyphrases
- ordinary differential equations
- neural network
- differential equations
- data driven
- dynamic systems
- belief nets
- higher order
- artificial neural networks
- generative model
- high order
- numerical solution
- biological systems
- pattern recognition
- mathematical models
- conjugate priors
- bayesian inference
- gene regulatory networks
- back propagation
- partial differential equations
- feed forward
- bayesian networks
- genetic algorithm
- fuzzy systems
- fuzzy logic
- machine learning
- training process
- multi layer
- self organizing maps
- maximum likelihood
- unsupervised learning
- learning algorithm
- pairwise
- bayesian estimation
- feature selection
- recurrent neural networks
- neural network model
- dynamical systems