Manifold Disentangling

Geometric Manifold Component Estimator

Introduced by Pfau et al. in Disentangling by Subspace Diffusion

Geomancer is a nonparametric algorithm for symmetry-based disentangling of data manifolds. It learns a set of subspaces to assign to each point in the dataset, where each subspace is the tangent space of one disentangled submanifold. This means that geomancer can be used to disentangle manifolds for which there may not be a global axis-aligned coordinate system.

Source: Disentangling by Subspace Diffusion

Papers


Paper Code Results Date Stars

Tasks


Task Papers Share
Metric Learning 1 100.00%

Components


Component Type
🤖 No Components Found You can add them if they exist; e.g. Mask R-CNN uses RoIAlign

Categories