2020
Approximation Capabilities of Neural ODEs and Invertible Residual Networks
ICML 2020poster
Recent interest in invertible models and normalizing flows has resulted in new architectures that ensure invertibility of the network model. Neural ODEs and i-ResNets are two recent techniques for constructing models that are invertible, but it is unclear if they can be used to approximate any conti…