Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks

Weiming Zhi, Tin Lai, Lionel Ott, Edwin V. Bonilla, Fabio Ramos. Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks. In Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvári, Gang Niu 0001, Sivan Sabato, editors, International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA. Volume 162 of Proceedings of Machine Learning Research, pages 27060-27074, PMLR, 2022. [doi]

@inproceedings{ZhiLOBR22,
  title = {Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks},
  author = {Weiming Zhi and Tin Lai and Lionel Ott and Edwin V. Bonilla and Fabio Ramos},
  year = {2022},
  url = {https://proceedings.mlr.press/v162/zhi22a.html},
  researchr = {https://researchr.org/publication/ZhiLOBR22},
  cites = {0},
  citedby = {0},
  pages = {27060-27074},
  booktitle = {International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA},
  editor = {Kamalika Chaudhuri and Stefanie Jegelka and Le Song and Csaba Szepesvári and Gang Niu 0001 and Sivan Sabato},
  volume = {162},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}