We present a neural network approach to compute stream functions, which ...
Scene representation networks (SRNs) have been recently proposed for
com...
B-spline models are a powerful way to represent scientific data sets wit...
3D volume rendering is widely used to reveal insightful intrinsic patter...
B-spline models are a powerful way to represent scientific data sets wit...
We explore an online learning reinforcement learning (RL) paradigm for
o...
This paper demonstrates that parallel vector curves are piecewise cubic
...
Scientific workflows have been used almost universally across scientific...
Fitting B-splines to discrete data is especially challenging when the gi...
We present the Feature Tracking Kit (FTK), a framework that simplifies,
...
Feature tracking and the visualizations of the resulting trajectories ma...
We propose InSituNet, a deep learning based surrogate model to support
p...