IEEE Workshop onTopological Data Analysis and Visualization in conjunction with IEEE VIS 2023,Melbourne, Australia
List of accepted papers
Comparing Mapper Graphs of Artificial Neuron Activations
Youjia Zhou, Helen Jenne, Davis Brown, Madelyn R. Shapiro, Brett A. Jefferson, Cliff Joslyn, Gregory Henselman-Petrusek, Brenda Praggastis, Emilie Purvine, Bei Wang
Sketching Merge Trees for Scientific Visualization
Mingzhe Li, Sourabh Palande, Lin Yan, Bei Wang
Combinatorial Exploration of Morse–Smale Functions on the Sphere via Interactive Visualization
Youjia Zhou, Janis Lazovskis, Michael J. Catanzaro, Matthew Zabka, Bei Wang
Visualizing Topological Importance: A Class-Driven Approach
Yu Qin, Brittany Terese Fasy, Carola Wenk, Brian Summa
A Mathematical Foundation for the Spatial Uncertainty of Critical Points in Probabilistic Scalar Fields
Dominik Vietinghoff, Michael Böttinger, Gerik Scheuermann, Christian Heine
Taming Horizontal Instability in Merge Trees: On the Computation of a Comprehensive Deformation-based Edit Distance
Florian Wetzels, Markus Anders, Christoph Garth
Probabilistic Gradient-Based Extrema Tracking
Emma Nilsson, Jonas Lukasczyk, Talha Bin Masood, Christoph Garth, Ingrid Hotz
Homology-Preserving Multi-Scale Graph Skeletonization Using Mapper on Graphs
Paul Rosen, Mustafa Hajij, Bei Wang
Planar Symmetry Detection and Quantification using the Extended Persistent Homology Transform
Nicholas A. Bermingham, Vanessa Robins, Katharine Turner
Multi-field Visualisation via Trait-induced Merge Trees