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Yu-Chia Chen

2 accepted papers

2021

The decomposition of the higher-order homology embedding constructed from the $k$-Laplacian

NeurIPS 2021oral

The null space of the $k$-th order Laplacian $\mathbf{\mathcal L}_k$, known as the {\em $k$-th homology vector space}, encodes the non-trivial topology of a manifold or a network. Understanding the structure of the homology embedding can thus disclose geometric or topological information from the da…

Cited by 13SourcePDFScholar
2019

Selecting the independent coordinates of manifolds with large aspect ratios

NeurIPS 2019poster

Many manifold embedding algorithms fail apparently when the data manifold has a large aspect ratio (such as a long, thin strip). Here, we formulate success and failure in terms of finding a smooth embedding, showing also that the problem is pervasive and more complex than previously recognized. Math…