Search Results for author: Skylar W. Wurster

Found 4 papers, 1 papers with code

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

1 code implementation18 Feb 2022 Neng Shi, Jiayi Xu, Skylar W. Wurster, Hanqi Guo, Jonathan Woodring, Luke P. Van Roekel, Han-Wei Shen

Our approach improves the efficiency of parameter space exploration with a surrogate model that predicts the simulation outputs accurately and efficiently.

Reinforcement Learning for Load-balanced Parallel Particle Tracing

no code implementations13 Sep 2021 Jiayi Xu, Hanqi Guo, Han-Wei Shen, Mukund Raj, Skylar W. Wurster, Tom Peterka

Second, we propose a workload estimation model, helping RL agents estimate the workload distribution of processes in future computations.

reinforcement-learning

Deep Hierarchical Super-Resolution for Scientific Data Reduction and Visualization

no code implementations30 May 2021 Skylar W. Wurster, Han-Wei Shen, Hanqi Guo, Thomas Peterka, Mukund Raj, Jiayi Xu

We present an approach for hierarchical super resolution (SR) using neural networks on an octree data representation.

Super-Resolution

Human Gist Processing Augments Deep Learning Breast Cancer Risk Assessment

no code implementations28 Nov 2019 Skylar W. Wurster, Arkadiusz Sitek, Jian Chen, Karla Evans, Gaeun Kim, Jeremy M. Wolfe

Radiologists can classify a mammogram as normal or abnormal at better than chance levels after less than a second's exposure to the images.

BIG-bench Machine Learning

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