Citing difw

This software is released under the MIT License.

difw was accepted as a short paper and published in the Proceedings of the 39 th International Conference on Machine Learning, Baltimore, Maryland, USA, PMLR 162, 2022.

Note that if you use this code and/or the results of running it to support any form of publication we request to include the following citation:

Bibtex entry:

@article{https://doi.org/10.48550/arxiv.2206.08107,
  doi = {10.48550/ARXIV.2206.08107},
  url = {https://arxiv.org/abs/2206.08107},
  author = {Martinez, Iñigo and Viles, Elisabeth and Olaizola, Igor G.},
  keywords = {Machine Learning (cs.LG), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
  title = {Closed-Form Diffeomorphic Transformations for Time Series Alignment},
  publisher = {arXiv},
  year = {2022},
  copyright = {arXiv.org perpetual, non-exclusive license}
}