David Womble

NashAE: Disentangling Representations through Adversarial Covariance Minimization

"We present a self-supervised method to disentangle factors of variation in high-dimensional data that does not rely on prior knowledge of the underlying variation profile (e.g., no assumptions on the number or distribution of the individual variables to be extracted). In this method which we call N…