When training Variational Autoencoders (VAEs), which technique is used to allow backpropagation through the stochastic sampling layer?

Reparameterization trick

The reparameterization trick expresses the latent variable as a deterministic function of the parameters and an independent noise variable. This allows gradients to flow from the loss function through the sample to the encoder network.