23 citations · 39 across the 8 of their papers we have counts for
4 papers · 1 filter
LossLens: Diagnostics for Machine Learning through Loss Landscape Visual Analytics
Tiankai Xie, Jiaqing Chen, Yaoqing Yang +8
Modern machine learning often relies on optimizing a neural network's parameters using a loss function to learn complex features. Beyond training, examining the loss function with…
Understanding Reader Takeaways in Thematic Maps Under Varying Text, Detail, and Spatial Autocorrelation
Arlen Fan, Fan Lei, Michelle Mancenido +2
Maps are crucial in conveying geospatial data in diverse contexts such as news and scientific reports. This research, utilizing thematic maps, probes deeper into the underexplored…
Capturing Cancer as Music: Cancer Mechanisms Expressed through Musification
Rostyslav Hnatyshyn, Jiayi Hong, Ross Maciejewski +2
The development of cancer is difficult to express on a simple and intuitive level due to its complexity. Since cancer is so widespread, raising public awareness about its mechanism…
A Survey of Designs for Combined 2D+3D Visual Representations
Jiayi Hong, Rostyslav Hnatyshyn, Ebrar A. D. Santos +2
We examine visual representations of data that make use of combinations of both 2D and 3D data mappings. Combining 2D and 3D representations is a common technique that allows viewe…