Derivative-Informed Neural Operator: An efficient framework for high-dimensional parametric derivative learning.
Thomas O'Leary-RoseberryPeng ChenUmberto VillaOmar GhattasPublished in: J. Comput. Phys. (2024)
Keyphrases
- high dimensional
- learning process
- learning scheme
- learning algorithm
- distributed learning
- learning tasks
- knowledge acquisition
- main contribution
- learning systems
- learning problems
- learning mechanism
- data sets
- dimensionality reduction
- mobile learning
- theoretical framework
- network architecture
- similarity search
- learning frameworks
- design principles
- supervised learning
- data points
- feature selection
- neural network