243 citations · 623 across the 9 of their papers we have counts for
3 papers · 1 filter
Disentangling by Subspace Diffusion
David Pfau, Irina Higgins, Aleksandar Botev +1
We present a novel nonparametric algorithm for symmetry-based disentangling of data manifolds, the Geometric Manifold Component Estimator (GEOMANCER). GEOMANCER provides a partial…
Equivariant Hamiltonian Flows
Danilo Jimenez Rezende, Sébastien Racanière, Irina Higgins +1
This paper introduces equivariant hamiltonian flows, a method for learning expressive densities that are invariant with respect to a known Lie-algebra of local symmetry transformat…
Understanding disentangling in -VAE
Christopher P. Burgess, Irina Higgins, Arka Pal +4
We present new intuitions and theoretical assessments of the emergence of disentangled representation in variational autoencoders. Taking a rate-distortion theory perspective, we s…