Approximation Capabilities of Neural Ordinary Differential Equations.
Han ZhangXi GaoJacob UntermanTomasz ArodzPublished in: CoRR (2019)
Keyphrases
- ordinary differential equations
- numerical integration
- mathematical modeling
- taylor series
- differential equations
- dynamic systems
- phase space
- numerical solution
- neural network
- partial differential equations
- mathematical models
- biological systems
- multiscale
- dynamical systems
- experimental data
- sufficient conditions
- biologically inspired
- data sources
- gene regulatory networks
- data sets
- computer vision
- artificial intelligence
- genetic regulatory networks