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Official Code for ICML 2024 paper "TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision"

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TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision

ICML 2024 accepted paper TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision

This code has been tested to work on

python=3.10
jax=0.4.23
flax=0.7.5

Illustration

Results on Burger's Equation

To cite our paper

@misc{chen2024teng,
      title={TENG: Time-Evolving Natural Gradient for Solving PDEs with Deep Neural Net}, 
      author={Zhuo Chen and Jacob McCarran and Esteban Vizcaino and Marin Soljačić and Di Luo},
      year={2024},
      eprint={2404.10771},
      archivePrefix={arXiv},
      primaryClass={cs.LG}
}

License

This software is licensed under CC BY-NC-SA 4.0

You are free to:
- Share: copy and redistribute the material in any medium or format
- Adapt: remix, transform, and build upon the material

Under the following terms:
- Attribution: You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- NonCommercial: You may not use the material for commercial purposes.
- ShareAlike: If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
- No additional restrictions: You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

See LICENSE for details.

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Official Code for ICML 2024 paper "TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision"

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