101 citations · 132 across the 4 of their papers we have counts for
4 papers
ParamsDrag: Interactive Parameter Space Exploration via Image-Space Dragging
Guan Li, Yang Liu, Guihua Shan +4
Numerical simulation serves as a cornerstone in scientific modeling, yet the process of fine-tuning simulation parameters poses significant challenges. Conventionally, parameter ad…
Climate Downscaling: A Deep-Learning Based Super-resolution Model of Precipitation Data with Attention Block and Skip Connections
Chia-Hao Chiang, Zheng-Han Huang, Liwen Liu +6
Human activities accelerate consumption of fossil fuels and produce greenhouse gases, resulting in urgent issues today: global warming and the climate change. These indirectly caus…
InSituNet: Deep Image Synthesis for Parameter Space Exploration of Ensemble Simulations
Wenbin He, Junpeng Wang, Hanqi Guo +5
We propose InSituNet, a deep learning based surrogate model to support parameter space exploration for ensemble simulations that are visualized in situ. In situ visualization, gene…
NNVA: Neural Network Assisted Visual Analysis of Yeast Cell Polarization Simulation
Subhashis Hazarika, Haoyu Li, Ko-Chih Wang +2
Complex computational models are often designed to simulate real-world physical phenomena in many scientific disciplines. However, these simulation models tend to be computationall…