Variational inference in neural functional prior using normalizing flows: Application to differential equation and operator learning problems.
Xuhui MengPublished in: CoRR (2023)
Keyphrases
- learning problems
- differential equations
- learning tasks
- supervised learning
- variational inference
- machine learning algorithms
- learning algorithm
- machine learning
- kernel methods
- semi supervised learning
- dynamical systems
- multi task learning
- reinforcement learning
- data sets
- image processing
- bayesian inference
- neural network