Model Categories in Algebraic Topology. - Kathryn Hess (Appl. Categorical Struct., 2002)

Simulations as Homotopies. - Kathryn Hess; Paul-Eugène Parent; Andrew Tonks; Krzysztof Worytkiewicz (CMCIM/GETCO@CONCUR, 2003)

Quantifying topological invariants of neuronal morphologies. - Lida Kanari; Pawel Dlotko; Martina Scolamiero; Ran Levi; Julian C. Shillcock; Kathryn Hess; Henry Markram (CoRR, 2016)

Cliques of Neurons Bound into Cavities Provide a Missing Link between Structure and Function. - Michael W. Reimann; Max Nolte; Martina Scolamiero; Katharine Turner; Rodrigo Perin; Giuseppe Chindemi; Pawel Dlotko; Ran Levi; Kathryn Hess; Henry Markram (Frontiers Comput. Neurosci., 2017)

A Topological Representation of Branching Neuronal Morphologies. - Lida Kanari; Pawel Dlotko; Martina Scolamiero; Ran Levi; Julian C. Shillcock; Kathryn Hess; Henry Markram (Neuroinformatics, 2018)

Two-Tier Mapper, an unbiased topology-based clustering method for enhanced global gene expression analysis. - Rachel Jeitziner; Mathieu Carrière; Jacques Rougemont; Steve Oudot; Kathryn Hess; Cathrin Brisken (Bioinform., 2019)

From Trees to Barcodes and Back Again: Theoretical and Statistical Perspectives. - Lida Kanari; Adélie Garin; Kathryn Hess (Algorithms, 2020)

Localized Persistent Homologies for more Effective Deep Learning. - Doruk Öner; Adélie Garin; Mateusz Kozinski; Kathryn Hess; Pascal Fua (CoRR, 2021)

giotto-tda: : A Topological Data Analysis Toolkit for Machine Learning and Data Exploration. - Guillaume Tauzin; Umberto Lupo; Lewis Tunstall; Julian Burella Pérez; Matteo Caorsi; Anibal M. Medina-Mardones; Alberto Dassatti; Kathryn Hess (J. Mach. Learn. Res., 2021)

Persistent Homology With Improved Locality Information for More Effective Delineation. - Doruk Öner; Adélie Garin; Mateusz Kozinski; Kathryn Hess; Pascal Fua (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

From trees to barcodes and back again II: Combinatorial and probabilistic aspects of a topological inverse problem. - Justin Curry; Jordan DeSha; Adélie Garin; Kathryn Hess; Lida Kanari; Brendan Mallery (Comput. Geom., 2024)