2017
A Disentangled Recognition and Nonlinear Dynamics Model for Unsupervised Learning
NeurIPS 2017spotlight
This paper takes a step towards temporal reasoning in a dynamically changing video, not in the pixel space that constitutes its frames, but in a latent space that describes the non-linear dynamics of the objects in its world. We introduce the Kalman variational auto-encoder, a framework for unsuperv…