Stochasticity in Neural ODEs: An Empirical Study

Viktor Oganesyan, Alexandra Volokhova, Dmitry Vetrov

Stochastic regularization of neural networks (e.g. dropout) is a wide-spread technique in deep learning that allows for better generalization. Despite its success, continuous-time…