Implicit regularization of deep residual networks towards neural ODEs

Pierre Marion, Yu-Han Wu, Michael E. Sander +1

Residual neural networks are state-of-the-art deep learning models. Their continuous-depth analog, neural ordinary differential equations (ODEs), are also widely used. Despite thei…