Skylar W Wurster
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Explore the profile of Skylar W Wurster including associated specialties, affiliations and a list of published articles.
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5
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2
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Recent Articles
1.
Xiong T, Wurster S, Guo H, Peterka T, Shen H
IEEE Trans Vis Comput Graph
. 2024 Sep;
31(1):645-655.
PMID: 39255168
Feature grid Scene Representation Networks (SRNs) have been applied to scientific data as compact functional surrogates for analysis and visualization. As SRNs are black-box lossy data representations, assessing the prediction...
2.
Wurster S, Xiong T, Shen H, Guo H, Peterka T
IEEE Trans Vis Comput Graph
. 2023 Oct;
30(1):965-974.
PMID: 37883276
Scene representation networks (SRNs) have been recently proposed for compression and visualization of scientific data. However, state-of-the-art SRNs do not adapt the allocation of available network parameters to the complex...
3.
Wurster S, Guo H, Shen H, Peterka T, Xu J
IEEE Trans Vis Comput Graph
. 2022 Oct;
29(12):5483-5495.
PMID: 36251892
We present a novel technique for hierarchical super resolution (SR) with neural networks (NNs), which upscales volumetric data represented with an octree data structure to a high-resolution uniform gridwith minimal...
4.
Shi N, Xu J, Wurster S, Guo H, Woodring J, Van Roekel L, et al.
IEEE Trans Vis Comput Graph
. 2022 Apr;
28(6):2301-2313.
PMID: 35389867
We propose GNN-Surrogate, a graph neural network-based surrogate model to explore the parameter space of ocean climate simulations. Parameter space exploration is important for domain scientists to understand the influence...
5.
Xu J, Guo H, Shen H, Raj M, Wurster S, Peterka T
IEEE Trans Vis Comput Graph
. 2022 Feb;
29(6):3052-3066.
PMID: 35130159
We explore an online reinforcement learning (RL) paradigm to dynamically optimize parallel particle tracing performance in distributed-memory systems. Our method combines three novel components: (1) a work donation algorithm, (2)...