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542 * ! Thu, 8/11/2022, 10:30 AM - 12:20 PM CC-204B
Advances in Topological and Geometric Data Analysis — Topic Contributed Papers
IMS, Section on Statistics in Imaging, Section on Statistical Learning and Data Science
Organizer(s): Yen-Chi Chen, University of Washington; Justin Strait, Los Alamos National Laboratory
Chair(s): Yen-Chi Chen, University of Washington
10:35 AM Methods for Testing Distributional Assumptions for Object Data
Leif Ellingson, Texas Tech University; Dong Xu, Suzhou University
10:55 AM Random Persistence Diagram Generation and Materials
Vasileios Maroulas, University of Tennesse, Knoxville; Theodore Papamarkou, The University of Manchester; Farzana Nasrin, University of Hawaii
11:15 AM Density-Based Classification in Diabetic Retinopathy Through Thickness of Retinal Layers from Optical Coherence Tomography
Shariq Mohammed, Boston University; Tingyang Li, University of Michigan; Xing Chen, University of Michigan; Elisa Warner, University of Michigan; Anand Shankar, University of Michigan; Maria Fernanda Abalem, University of Michigan; Thiran Jayasundera, University of Michigan; Thomas Gardner, University of Michigan; Arvind Rao, University of Michigan
11:35 AM Featurization of Topological Data Analysis Using Persistence Landscape and Circular Coordinates
Jisu Kim, Inria; Kwangho Kim, Harvard; Manzil Zaheer, Google Research; Joon Sik Kim, Carnegie Mellon University; Frédéric Chazal, Inria; Larry Wasserman, Carnegie Mellon University; Hengrui Luo, Lawrence Berkeley National Laboratory; Alice Patania, Indiana University; Mikael Vejdemo-Johansson, CUNY
11:55 AM Discussant: Justin Strait, Los Alamos National Laboratory
12:15 PM Floor Discussion