Search Results for author: Tom Peterka

Found 3 papers, 0 papers with code

Adaptive Regularization of B-Spline Models for Scientific Data

no code implementations23 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 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 reinforcement Learning

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

no code implementations1 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

Cannot find the paper you are looking for? You can Submit a new open access paper.