Generalization bounds for neural ordinary differential equations and deep residual networks.
Pierre MarionPublished in: NeurIPS (2023)
Keyphrases
- ordinary differential equations
- generalization bounds
- data dependent
- differential equations
- learning theory
- generalization ability
- dynamic systems
- gene regulatory networks
- model selection
- neural network
- statistical learning theory
- ranking algorithm
- vc dimension
- linear classifiers
- numerical solution
- mathematical models
- complex systems
- biologically inspired
- bayesian networks
- artificial intelligence
- learning algorithm