yanalish / SymDLNN

Code base acompanying the paper Discrete Lagrangian Neural Networks with Automatic Symmetry Discovery

SymDLNN

Code base acompanying the paper Discrete Lagrangian Neural Networks with Automatic Symmetry Discovery

Prerequisites

In order to run the code we require several packages, conda users can use the environment.yml to generate the necessary virtual environment from terminal

Use the terminal or an Anaconda Prompt (for windows users) for the following steps:

1. Create the environment from the environment.yml file:

conda env create -f environment.yml

The first line of the yml file sets the new environment's name. This process can take a while despite the number of dependencies being low, because of the dependency checker in conda. Go grab a coffee.

2. Activate the new environment once environment is created:

conda activate symdlnn

3. This is your own environment, feel free to install any other dependencies

Citation

If you use any of the code for your own projects, please consider citing

@misc{lishkova2022symdlnn,
      title={Discrete Lagrangian Neural Networks with Automatic Symmetry Discovery}, 
      author={Yana Lishkova and Paul Scherer and Steffen Ridderbusch and Mateja Jamnik and Pietro Liò and Sina Ober-Blöbaum and Christian Offen},
      year={2022},
      eprint={2211.10830},
      archivePrefix={arXiv},
      primaryClass={cs.LG}
}