A Topological "Reading" Lesson: Classification of MNIST using TDA. - Adélie Garin; Guillaume Tauzin (ICMLA, 2019)

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

Duality in Persistent Homology of Images. - Adélie Garin; Teresa Heiss; Kelly Maggs; Bea Bleile; Vanessa Robins (CoRR, 2020)

The Impact of Changes in Resolution on the Persistent Homology of Images. - Teresa Heiss; Sarah Tymochko; Brittany Story; Adélie Garin; Hoa T. Bui; Bea Bleile; Vanessa Robins (IEEE BigData, 2021)

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

A Lattice-Theoretic Perspective on the Persistence Map. - Brendan Mallery; Adélie Garin; Justin Curry (CoRR, 2022)

Stratifying the space of barcodes using Coxeter complexes. - Benjamin Brück; Adélie Garin (J. Appl. Comput. Topol., 2023)

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)