2019
Unsupervised Co-Learning on $G$-Manifolds Across Irreducible Representations
NeurIPS 2019poster
We introduce a novel co-learning paradigm for manifolds naturally admitting an action of a transformation group $\mathcal{G}$, motivated by recent developments on learning a manifold from attached fibre bundle structures. We utilize a representation theoretic mechanism that canonically associates mu…