Skylar W. Wurster

According to our database, Skylar W. Wurster authored at least 8 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Adaptively Placed Multi-Grid Scene Representation Networks for Large-Scale Data Visualization.

Skylar W. Wurster, Tianyu Xiong, Han-Wei Shen, Hanqi Guo, Tom Peterka

IEEE Trans. Vis. Comput. Graph., January, 2024

2023

Deep Hierarchical Super Resolution for Scientific Data.

Skylar W. Wurster, Hanqi Guo, Han-Wei Shen, Tom Peterka, Jiayi Xu

IEEE Trans. Vis. Comput. Graph., December, 2023

Reinforcement Learning for Load-Balanced Parallel Particle Tracing.

Jiayi Xu, Hanqi Guo, Han-Wei Shen, Mukund Raj, Skylar W. Wurster, Tom Peterka

IEEE Trans. Vis. Comput. Graph., June, 2023

Neural Stream Functions.

Skylar W. Wurster, Hanqi Guo, Tom Peterka, Han-Wei Shen

Proceedings of the 16th IEEE Pacific Visualization Symposium, 2023

2022

GNN-Surrogate: A Hierarchical and Adaptive Graph Neural Network for Parameter Space Exploration of Unstructured-Mesh Ocean Simulations.

Neng Shi, Jiayi Xu, Skylar W. Wurster, Hanqi Guo, Jonathan Woodring, Luke P. Van Roekel, Han-Wei Shen

IEEE Trans. Vis. Comput. Graph., 2022

2021

Deep Hierarchical Super-Resolution for Scientific Data Reduction and Visualization.

Skylar W. Wurster, Han-Wei Shen, Hanqi Guo, Thomas Peterka, Mukund Raj, Jiayi Xu

CoRR, 2021

2019

Human Gist Processing Augments Deep Learning Breast Cancer Risk Assessment.

Skylar W. Wurster, Arkadiusz Sitek, Jian Chen, Karla K. Evans, Gaeun Kim, Jeremy M. Wolfe

CoRR, 2019

Design-centric maze generation.

Paul Hyunjin Kim, Jacob Grove, Skylar W. Wurster, Roger Crawfis

Proceedings of the 14th International Conference on the Foundations of Digital Games, 2019