Neural network Gaussian processes as efficient models of potential energy surfaces for polyatomic molecules.
Jun DaiRoman V. KremsPublished in: Mach. Learn. Sci. Technol. (2023)
Keyphrases
- gaussian processes
- neural network
- gaussian process
- covariance function
- human pose estimation
- gaussian process regression
- bayesian approaches
- gaussian process models
- bayesian methods
- bayesian framework
- multi task learning
- image reconstruction
- model selection
- maximum likelihood
- support vector machine
- probabilistic model
- artificial neural networks