Generative Modeling by Estimating Gradients of the Data Distribution

Yang Song, Stefano Ermon. Generative Modeling by Estimating Gradients of the Data Distribution. In Hanna M. Wallach, Hugo Larochelle, Alina Beygelzimer, Florence d'Alché-Buc, Edward A. Fox, Roman Garnett, editors, Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada. pages 11895-11907, 2019. [doi]

@inproceedings{SongE19-0,
  title = {Generative Modeling by Estimating Gradients of the Data Distribution},
  author = {Yang Song and Stefano Ermon},
  year = {2019},
  url = {http://papers.nips.cc/paper/9361-generative-modeling-by-estimating-gradients-of-the-data-distribution},
  researchr = {https://researchr.org/publication/SongE19-0},
  cites = {0},
  citedby = {0},
  pages = {11895-11907},
  booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada},
  editor = {Hanna M. Wallach and Hugo Larochelle and Alina Beygelzimer and Florence d'Alché-Buc and Edward A. Fox and Roman Garnett},
}