2020
Learning Disentangled Representations and Group Structure of Dynamical Environments
NeurIPS 2020poster
Learning disentangled representations is a key step towards effectively discovering and modelling the underlying structure of environments. In the natural sciences, physics has found great success by describing the universe in terms of symmetry preserving transformations. Inspired by this formalism,…