IEEE Workshop on Topological Data Analysis and Visualization
in conjunction with IEEE VIS 2023, Melbourne, Australia

List of accepted papers

  1. 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
  2. Sketching Merge Trees for Scientific Visualization
    Mingzhe Li, Sourabh Palande, Lin Yan, Bei Wang
  3. Combinatorial Exploration of Morse–Smale Functions on the Sphere via Interactive Visualization
    Youjia Zhou, Janis Lazovskis, Michael J. Catanzaro, Matthew Zabka, Bei Wang
  4. Visualizing Topological Importance: A Class-Driven Approach
    Yu Qin, Brittany Terese Fasy, Carola Wenk, Brian Summa
  5. A Mathematical Foundation for the Spatial Uncertainty of Critical Points in Probabilistic Scalar Fields
    Dominik Vietinghoff, Michael Böttinger, Gerik Scheuermann, Christian Heine
  6. Taming Horizontal Instability in Merge Trees: On the Computation of a Comprehensive Deformation-based Edit Distance
    Florian Wetzels, Markus Anders, Christoph Garth
  7. Probabilistic Gradient-Based Extrema Tracking
    Emma Nilsson, Jonas Lukasczyk, Talha Bin Masood, Christoph Garth, Ingrid Hotz
  8. Homology-Preserving Multi-Scale Graph Skeletonization Using Mapper on Graphs
    Paul Rosen, Mustafa Hajij, Bei Wang
  9. Planar Symmetry Detection and Quantification using the Extended Persistent Homology Transform
    Nicholas A. Bermingham, Vanessa Robins, Katharine Turner
  10. Multi-field Visualisation via Trait-induced Merge Trees
    Jochen Jankowai, Talha Bin Masood, Ingrid Hotz