Local Disentanglement in V ariational Auto-Encoders Using Jacobian L1 Regularization

Neural Information Processing Systems 

Inferring a good latent representation from a dataset is a difficult problem and is generally under-specified in algorithms. This underspecification is called the "model identification" problem, and