Skylar W. Wurster

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 10

Top Topics

Scene Representation

Top Venues

IEEE Trans. Vis. Comput. Graph.

Publications

Skylar W. Wurster, Tianyu Xiong, Han-Wei Shen, Hanqi Guo, Tom Peterka
Adaptively Placed Multi-Grid Scene Representation Networks for Large-Scale Data Visualization. IEEE Trans. Vis. Comput. Graph. 30 (1) (2024)
Tianyu Xiong, Skylar W. Wurster, Hanqi Guo, Tom Peterka, Han-Wei Shen
Regularized Multi-Decoder Ensemble for an Error-Aware Scene Representation Network. CoRR (2024)
Jiayi Xu, Hanqi Guo, Han-Wei Shen, Mukund Raj, Skylar W. Wurster, Tom Peterka
Reinforcement Learning for Load-Balanced Parallel Particle Tracing. IEEE Trans. Vis. Comput. Graph. 29 (6) (2023)
Skylar W. Wurster, Hanqi Guo, Han-Wei Shen, Tom Peterka, Jiayi Xu
Deep Hierarchical Super Resolution for Scientific Data. IEEE Trans. Vis. Comput. Graph. 29 (12) (2023)
Skylar W. Wurster, Hanqi Guo, Tom Peterka, Han-Wei Shen
Neural Stream Functions. PacificVis (2023)
Neng Shi, Jiayi Xu, Skylar W. Wurster, Hanqi Guo, Jonathan Woodring, Luke P. Van Roekel, Han-Wei Shen
GNN-Surrogate: A Hierarchical and Adaptive Graph Neural Network for Parameter Space Exploration of Unstructured-Mesh Ocean Simulations. IEEE Trans. Vis. Comput. Graph. 28 (6) (2022)
Neng Shi, Jiayi Xu, Skylar W. Wurster, Hanqi Guo, Jonathan Woodring, Luke P. Van Roekel, Han-Wei Shen
GNN-Surrogate: A Hierarchical and Adaptive Graph Neural Network for Parameter Space Exploration of Unstructured-Mesh Ocean Simulations. CoRR (2022)
Skylar W. Wurster, Han-Wei Shen, Hanqi Guo, Thomas Peterka, Mukund Raj, Jiayi Xu
Deep Hierarchical Super-Resolution for Scientific Data Reduction and Visualization. CoRR (2021)
Paul Hyunjin Kim, Jacob Grove, Skylar W. Wurster, Roger Crawfis
Design-centric maze generation. FDG (2019)
Skylar W. Wurster, Arkadiusz Sitek, Jian Chen, Karla K. Evans, Gaeun Kim, Jeremy M. Wolfe
Human Gist Processing Augments Deep Learning Breast Cancer Risk Assessment. CoRR (2019)