Approximation Capabilities of Neural ODEs and Invertible Residual Networks.
Han ZhangXi GaoJacob UntermanTom ArodzPublished in: ICML (2020)
Keyphrases
- network architecture
- neural network
- bio inspired
- network analysis
- approximation error
- closed form
- recurrent networks
- complex networks
- spiking neurons
- social networks
- approximation algorithms
- network model
- error bounds
- hebbian learning
- ordinary differential equations
- computer networks
- gene expression
- special case
- artificial neural networks
- image processing
- artificial intelligence