1. D. Alvarez-Melis, N. Fusi, Geometric dataset distances via optimal transport, in: H. Larochelle, M. Ranzato, R. Hadsell, M.F. Balcan, H. Lin (Eds.), Advances in Neural Information Processing Systems 33, Vol. 33, Curran Associates Inc, 2020, pp. 21428–21439. URL: https://proceedings.neurips.cc/paper/2020/file/f52a7b2610fb4d3f74b4106fb80b233d-Paper.pdf.
2. Gans trained by a two time-scale update rule converge to a local nash equilibrium;Heusel;Adv. Neural Inform. Process. Syst.,2017
3. M.J. Chong, D. Forsyth, Effectively unbiased fid and inception score and where to find them, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 2020, pp. 6070–6079.
4. K. Kawano, S. Koide, K. Otaki, Partial wasserstein covering, in: Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 36(7), 2022, pp. 7115–7123.
5. O. Bachem, M. Lucic, A. Krause, Practical coreset constructions for machine learning, arXiv preprint arXiv:1703.06476 (2017).