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PARCtorch

Physics-aware Recurrent Convolutional Neural Networks (PARCv2) in PyTorch

Documentation

PARCv2

Paper link: arxiv ICML 2024 Proceedings

Installation

Install via miniforge (open source version of conda):

mamba create -n parc python=3.12
mamba activate parc
mamba install pytorch pytorch-cuda=12.4 -c pytorch -c nvidia
mamba install numpy matplotlib tqdm ipykernel imageio
pip install -e .

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Citation

If you find our research helpful, please consider citing us with:

@InProceedings{pmlr-v235-nguyen24c,
  title = 	 {{PARC}v2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modeling},
  author =       {Nguyen, Phong C.H. and Cheng, Xinlun and Azarfar, Shahab and Seshadri, Pradeep and Nguyen, Yen T. and Kim, Munho and Choi, Sanghun and Udaykumar, H.S. and Baek, Stephen},
  booktitle = 	 {Proceedings of the 41st International Conference on Machine Learning},
  pages = 	 {37649--37666},
  year = 	 {2024},
  editor = 	 {Salakhutdinov, Ruslan and Kolter, Zico and Heller, Katherine and Weller, Adrian and Oliver, Nuria and Scarlett, Jonathan and Berkenkamp, Felix},
  volume = 	 {235},
  series = 	 {Proceedings of Machine Learning Research},
  month = 	 {21--27 Jul},
  publisher =    {PMLR},
  pdf = 	 {https://raw.githubusercontent.com/mlresearch/v235/main/assets/nguyen24c/nguyen24c.pdf},
  url = 	 {https://proceedings.mlr.press/v235/nguyen24c.html}
}