Figure 1
From: Symplectic encoders for physics-constrained variational dynamics inference
VAE: The data is first passed through an encoder network to output the mean and variance of the latent distribution of the data. Then we sample from this distribution to obtain a candidate latent space. This candidate latent space is then mapped back to an approximation of the original data using a decoder network.
