While the beta-VAE family is aiming to find disentangled representations and acquire human-interpretable generative factors, like what an ICA does in the linear domain  , we propose Full Encoder : a novel unified autoencoder framework as a correspondence to PCA in the non-linear domain.
<fluency> While the beta-VAE family is aiming to find disentangled representations and acquire human-interpretable generative factors, like what an ICA does in the linear domain  , we propose Full Encoder : a novel unified autoencoder framework as a correspondence to PCA in the non-linear domain.
While the beta-VAE family is aiming to find disentangled representations and acquire human-interpretable generative factors, like what an ICA (from the linear domain , we propose Full Encoder : a novel unified autoencoder framework as a correspondence to PCA in the non-linear domain.