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Di Wang
University of Utah
1Publications
Publications 2
Newest
#1Shusen Liu (LLNL: Lawrence Livermore National Laboratory)H-Index: 10
#2Rushil Anirudh (LLNL: Lawrence Livermore National Laboratory)H-Index: 6
Last.Valerio Pascucci (UofU: University of Utah)H-Index: 45
view all 16 authors...
With the rapid adoption of machine learning techniques for large-scale applications in science and engineering comes the convergence of two grand challenges in visualization. First, the utilization of black box models (e.g., deep neural networks) calls for advanced techniques in exploring and interpreting model behaviors. Second, the rapid growth in computing has produced enormous datasets that require techniques that can handle millions or more samples. Although some solutions to these interpre...
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#1Shusen LiuH-Index: 10
Last.Peer-Timo BremerH-Index: 26
view all 16 authors...
With the rapid adoption of machine learning techniques for large-scale applications in science and engineering comes the convergence of two grand challenges in visualization. First, the utilization of black box models (e.g., deep neural networks) calls for advanced techniques in exploring and interpreting model behaviors. Second, the rapid growth in computing has produced enormous datasets that require techniques that can handle millions or more samples. Although some solutions to these interpre...
1