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[60] Feydy, J., Roussillon, P., Trouvé, A., & Gori, P. (2019). [Fast and scalable optimal transport for brain tractograms](https://arxiv.org/pdf/2107.02010.pdf). In Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part III 22 (pp. 636-644). Springer International Publishing.
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[61] Charlier, B., Feydy, J., Glaunes, J. A., Collin, F. D., & Durif, G. (2021). [Kernel operations on the gpu, with autodiff, without memory overflows](https://www.jmlr.org/papers/volume22/20-275/20-275.pdf). The Journal of Machine Learning Research, 22(1), 3457-3462.
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[61] Charlier, B., Feydy, J., Glaunes, J. A., Collin, F. D., & Durif, G. (2021). [Kernel operations on the gpu, with autodiff, without memory overflows](https://www.jmlr.org/papers/volume22/20-275/20-275.pdf). The Journal of Machine Learning Research, 22(1), 3457-3462.
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[62] H. Van Assel, C. Vincent-Cuaz, T. Vayer, R. Flamary, N. Courty (2023). [Interpolating between Clustering and Dimensionality Reduction with Gromov-Wasserstein](https://arxiv.org/pdf/2310.03398.pdf). NeurIPS 2023 Workshop Optimal Transport and Machine Learning.
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