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---
title: AirfRANS remeshed visualization
emoji: 🏆
colorFrom: purple
colorTo: pink
sdk: gradio
sdk_version: 4.37.2
app_file: app.py
pinned: false
license: mit
---
This space provides a visualization of the dataset created in [the paper](https://arxiv.org/abs/2305.12871):
```
@misc{casenave2023mmgpmeshmorphinggaussian,
title={MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under non-parameterized geometrical variability},
author={Fabien Casenave and Brian Staber and Xavier Roynard},
year={2023},
eprint={2305.12871},
archivePrefix={arXiv},
primaryClass={cs.LG},
url={https://arxiv.org/abs/2305.12871},
}
``` |