activity
20042021
most citedPore-geometry recognition: on the importance of quantifying similarity in nanoporous materials

194 citations · 657 across the 37 of their papers we have counts for

collaborators

43 papers

math.AT2021

A shadow perspective on equivariant Hochschild homologies

Katharine Adamyk, Teena Gerhardt, Kathryn Hess +2

Shadows for bicategories, defined by Ponto, provide a useful framework that generalizes classical and topological Hochschild homology. In this paper, we define Hochschild-type inva…

cs.CV2021★ 1 cited

Persistent Homology with Improved Locality Information for more Effective Delineation

Doruk Oner, Adélie Garin, Mateusz Koziński +2

Persistent Homology (PH) has been successfully used to train networks to detect curvilinear structures and to improve the topological quality of their results. However, existing me…

math.CT2021

Shadows are Bicategorical Traces

Kathryn Hess, Nima Rasekh

Hochschild homology has proved to be an important invariant in algebra and homotopy theory, in particular due to its relevance in algebraic -theory and fixed point theory, leadi…

math.AT2021★ 1 cited

From Trees to Barcodes and Back Again II: Combinatorial and Probabilistic Aspects of a Topological Inverse Problem

Justin Curry, Jordan DeSha, Adélie Garin +3

In this paper we consider two aspects of the inverse problem of how to construct merge trees realizing a given barcode. Much of our investigation exploits a recently discovered con…

math.AT2021

Graph Pseudometrics from a Topological Point of View

Ana Lucia Garcia-Pulido, Kathryn Hess, Jane Tan +3

We explore pseudometrics for directed graphs in order to better understand their topological properties. The directed flag complex associated to a directed graph provides a useful…

math.AT2020★ 4 cited

From trees to barcodes and back again: theoretical and statistical perspectives

Lida Kanari, Adélie Garin, Kathryn Hess

Methods of topological data analysis have been successfully applied in a wide range of fields to provide useful summaries of the structure of complex data sets in terms of topologi…