2020
Robust Persistence Diagrams using Reproducing Kernels
NeurIPS 2020poster
Persistent homology has become an important tool for extracting geometric and topological features from data, whose multi-scale features are summarized in a persistence diagram. From a statistical perspective, however, persistence diagrams are very sensitive to perturbations in the input space. In t…