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If using the R implementation of Einops in your research work, please cite the original ICLR paper, in addition to this package:

Yang Q (2025). “Einops for R.” https://qile0317.github.io/einops/.

Rogozhnikov A (2022). “Einops: Clear and Reliable Tensor Manipulations with Einstein-like Notation.” In International Conference on Learning Representations. https://openreview.net/forum?id=oapKSVM2bcj.

Corresponding BibTeX entries: 

  @Misc{,
    title = {Einops for R},
    author = {Qile Yang},
    year = {2025},
    url = {https://qile0317.github.io/einops/},
  }

  @InProceedings{,
    title = {Einops: Clear and Reliable Tensor Manipulations with
      Einstein-like Notation},
    author = {Alex Rogozhnikov},
    booktitle = {International Conference on Learning Representations},
    year = {2022},
    url = {https://openreview.net/forum?id=oapKSVM2bcj},
  }

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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