List of accepted papers

The top six papers selected for full or short presentation

1. Exploring Uncertainty Visualization for Degenerate Tensors in 3D Symmetric Second-Order Tensor Field Ensembles [Best Long Paper]: Tadea Schmitz and Tim Gerrits
2. Voicing Uncertainty: How Speech, Text, and Visualizations Influence Decisions with Data Uncertainty: Chase Stokes, Chelsea Sanker, Bridget Cogley, and Vidya Setlur
3. Effects of Forecast Number, Order, and Cost in Multiple Forecast Visualizations: Laura Matzen, Dr. Mallory C Stites, Kristin M Divis, Alexander Bendeck, John Stasko, and Lace M. Padilla

1. Uncertainty Visualization Challenges in Decision Systems with Ensemble Data & Surrogate Models [Best Short Paper]: Sam Molnar, J.D. Laurence-Chasen, Yuhan Duan, Julie Bessac, and Kristi Potter
2. Accelerated Depth Computation for Surface Boxplots with Deep Learning: Mengjiao Han, Tushar M. Athawale, Jixian Li, and Chris R. Johnson
3. FunM^2C: A Filter for Uncertainty Visualization of Multivariate Data on Multi-Core Devices: Gautam Hari, Nrushad A Joshi, Zhe Wang, Qian Gong, David Pugmire, Kenneth Moreland, Chris R. Johnson, Scott Klasky, Norbert Podhorszki, and Tushar M. Athawale

1. Estimation and Visualization of Isosurface Uncertainty from Linear and High-Order Interpolation Methods: Timbwaoga A. J. Ouermi, Jixian Li, Tushar M. Athawale, and Chris R. Johnson
2. Uncertainty-Informed Volume Visualization using Implicit Neural Representation: Shanu Saklani, Chitwan Goel, Shrey Bansal, Zhe Wang, Soumya Dutta, Tushar M. Athawale, David Pugmire, and Chris R. Johnson

1. Glyph-Based Uncertainty Visualization and Analysis of Time-Varying Vector Field: Timbwaoga A. J. Ouermi, Jixian Li, Zachary Morrow, Bart van Bloemen Waanders, and Chris R. Johnson
2. An Entropy-Based Test and Development Framework for Uncertainty Modeling in Level-Set Visualizations: Robert Sisneros, Tushar M. Athawale, Kenneth Moreland, and David Pugmire
3. Visualizing Uncertainties in Ensemble Wildfire Forecast Simulations: Jixian Li, Timbwaoga A. J. Ouermi , and Chris R. Johnson

1. UADAPy: An Uncertainty-Aware Visualization and Analysis Toolbox: Patrick Paetzold, David Hägele, Marina Evers, Daniel Weiskopf, and Oliver Deussen