where L AE is the Autoencoder loss function, L skew is the skewness loss function that maximizes the skewness of the distribution in the latent space, ||w|| 2 is a L2 regularization term, and α and β are hyperparameters. The Autoencoder loss function is defined in Equation (3) using the standard reconstruction error, based on the difference between the inputs and the reconstructed outputs: