Gaussian processes meet NeuralODEs: A Bayesian framework for learning the dynamics of partially observed systems from scarce and noisy data.
Mohamed Aziz BhouriParis PerdikarisPublished in: CoRR (2021)
Keyphrases
- bayesian framework
- gaussian processes
- gaussian process
- noisy data
- partially observed
- bayesian methods
- prior knowledge
- hyperparameters
- gaussian process models
- learning algorithm
- multi task learning
- generative model
- incremental learning
- multi task
- learning problems
- supervised learning
- reinforcement learning
- prior information
- learning tasks
- maximum a posteriori
- active learning