List of Accepted Papers

Long Papers

1. Seeing the Many: Exploring Parameter Distributions Conditioned on Features in Surrogates

Xiaohan Wang, Zhimin Li, Joshua A Levine, and Matthew Berger

2. Uncertainty-Aware PCA for Arbitrarily Distributed Data Modeled by Gaussian Mixture Models

Daniel Klötzl, Ozan Tastekin, David Hägele, Marina Evers, and Daniel Weiskopf

3. Uncertainty Tube Visualization of Particle Trajectories

Jixian Li, Timbwaoga A. J. Ouermi, Mengjiao Han, and Chris R. Johnson

4. Visualizing Uncertainty from Meteo-Oceanic Ensemble Data

Julius Bañgate, Jacques Gautier, Sidonie Christophe, Déborah Idier, Denis Paradis, and Sophie Lecacheux

Short papers

1. Layers of Doubt: Typology of Temporal Uncertainty in Dynamic Diffusion Networks

Tom Baumgartl, Tatiana von Landesberger, Alessio Arleo, Silvia Miksch, Velitchko Andreev Filipov, Sandhya Rajendran, and Daniel Archambault

2. Efficient Probabilistic Visualization of Local Divergence of 2D Vector Fields with Independent Gaussian Uncertainty

Timbwaoga A. J. Ouermi, Eric Li, Kenneth Moreland, David Pugmire, Chris R. Johnson, and Tushar M. Athawale

3. DE-VAE: Revealing Uncertainty in Parametric and Inverse Projections with Variational Autoencoders using Differential Entropy

Frederik L. Dennig and Daniel Keim

4. Visualizing Diagnostic Uncertainty in Tabular Data: An Information-Theoretic Matrix Approach

Alp Ö. Yener, Gokturk Ipek, M.D Ali Nural, Okan Akinci, Muhsin Melik, Cevdet Kocogullari, and Selim Balcisoy

5. Ensemble Visualization With Variational Autoencoder

Cenyang Wu, Qinhan Yu, and Liang Zhou