Takeshi Teshima, Isao Ishikawa, Koichi Tojo, Kenta Oono, Masahiro Ikeda, Masashi Sugiyama. Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators. In Hugo Larochelle, Marc'Aurelio Ranzato, Raia Hadsell, Maria-Florina Balcan, Hsuan-Tien Lin, editors, Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual. 2020. [doi]
@inproceedings{TeshimaITOIS20,
title = {Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators},
author = {Takeshi Teshima and Isao Ishikawa and Koichi Tojo and Kenta Oono and Masahiro Ikeda and Masashi Sugiyama},
year = {2020},
url = {https://proceedings.neurips.cc/paper/2020/hash/2290a7385ed77cc5592dc2153229f082-Abstract.html},
researchr = {https://researchr.org/publication/TeshimaITOIS20},
cites = {0},
citedby = {0},
booktitle = {Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual},
editor = {Hugo Larochelle and Marc'Aurelio Ranzato and Raia Hadsell and Maria-Florina Balcan and Hsuan-Tien Lin},
}