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