@article{optimaltransportinspireddeeplearning,
  title = {Optimal Transport-inspired Deep Learning Framework for Slow-Decaying Kolmogorov n-width Problems: Exploiting Sinkhorn Loss and Wasserstein Kernel},
  author = {Moaad Khamlich and Federico Pichi and Gianluigi Rozza},
  year = {2023},
  eprint = {2308.13840},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2308.13840v2},
}