ODE2VAE: Deep generative second order ODEs with Bayesian neural networks.

Çagatay Yildiz Markus Heinonen Harri Lähdesmäki

Published in: NeurIPS (2019)

Keyphrases

ordinary differential equations
neural network
differential equations
belief nets
dynamic systems
back propagation
bayesian networks
higher order
data driven

pattern recognition
generative model
numerical solution
fuzzy logic
bayesian learning
self organizing maps
neural network model
partial differential equations

neural nets
mathematical models
genetic algorithm
dynamical systems
multi layer
fuzzy systems
maximum likelihood
recurrent neural networks

posterior probability
artificial neural networks
runge kutta
biological systems
decision theory
mathematical model
unsupervised learning
conjugate priors