Adaptive Regularization of B-Spline Models for Scientific Data

no code implementations • 23 Mar 2022 • David Lenz, Raine Yeh, Vijay Mahadevan, Iulian Grindeanu, Tom Peterka

B-spline models are a powerful way to represent scientific data sets with a functional approximation.

Reinforcement Learning for Load-balanced Parallel Particle Tracing

no code implementations • 13 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 reinforcement Learning

InSituNet: Deep Image Synthesis for Parameter Space Exploration of Ensemble Simulations

no code implementations • 1 Aug 2019 • Wenbin He, Junpeng Wang, Hanqi Guo, Ko-Chih Wang, Han-Wei Shen, Mukund Raj, Youssef S. G. Nashed, Tom Peterka

We propose InSituNet, a deep learning based surrogate model to support parameter space exploration for ensemble simulations that are visualized in situ.

Image Generation