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  publisher = {arXiv},

  url       = {https://arxiv.org/abs/1811.02834},

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  keywords  = {Machine Learning (stat.ML),Machine Learning (cs.LG),FOS: Computer and information sciences,FOS: Computer and information sciences},

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}

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@misc{scetbon:21b,

  author    = {Scetbon, Meyer and Peyré, Gabriel and Cuturi, Marco},

  publisher = {arXiv},

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  keywords  = {Machine Learning (cs.LG),Machine Learning (stat.ML),FOS: Computer and information sciences,FOS: Computer and information sciences},

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}

@misc{scetbon:22b,

  author    = {Scetbon, Meyer and Cuturi, Marco},

  publisher = {arXiv},

  url       = {https://arxiv.org/abs/2205.12365},

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  keywords  = {Machine Learning (stat.ML),Machine Learning (cs.LG),FOS: Computer and information sciences,FOS: Computer and information sciences},

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}

@misc{scetbon:23,

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  publisher = {arXiv},

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  keywords  = {Machine Learning (stat.ML),Machine Learning (cs.LG),FOS: Computer and information sciences,FOS: Computer and information sciences},

  title={Unbalanced Low-rank Optimal Transport Solvers},

  year={2023}

}

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  eprint      = {2206.07630},

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  eprinttype  = {arXiv},

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  year        = {2022},

}

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AUTHOR = {Vayer, Titouan and Chapel, Laetitia and Flamary, Remi and Tavenard, Romain and Courty, Nicolas},

TITLE = {Fused Gromov-Wasserstein Distance for Structured Objects},

JOURNAL = {Algorithms},

VOLUME = {13},

YEAR = {2020},

NUMBER = {9},

ARTICLE-NUMBER = {212},

URL = {https://www.mdpi.com/1999-4893/13/9/212},

ISSN = {1999-4893},

DOI = {10.3390/a13090212}}

@misc{klein2023generative,

      title={Generative Entropic Neural Optimal Transport To Map Within and Across Spaces},

      author={Dominik Klein and Théo Uscidda and Fabian Theis and Marco Cuturi},

      year={2023},

      eprint={2310.09254},

      archivePrefix={arXiv},

      primaryClass={stat.ML}

}