Neural SDE: Stabilizing Neural ODE Networks with Stochastic Noise

Tesi Xiao
Tesi Xiao
Qin Cao
Qin Cao

CoRR, 2019.

Cited by: 15|Bibtex|Views20|Links
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Abstract:

Neural Ordinary Differential Equation (Neural ODE) has been proposed as a continuous approximation to the ResNet architecture. Some commonly used regularization mechanisms in discrete neural networks (e.g. dropout, Gaussian noise) are missing in current Neural ODE networks. In this paper, we propose a new continuous neural network frame...More

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