These three models form a variational autoencoder and can be trained jointly in a semi-supervised manner. The experimental results show that the regularization of the classification model based on the ...

The proposed model attacks classification models by utilizing a distilled model to imitate the output of the multivariate time series classification model. In addition, the adversarial generator ...

The image is reconstructed through the probabilistic Maximum A-Posteriori (MAP) estimate. Variational inference is then applied to obtain the optimal solution using a modified Bayes by Backprop ...