GibbsNet: Iterative Adversarial Inference for Deep Graphical Models

Alex Lamb, R. Devon Hjelm, Yaroslav Ganin, Joseph Paul Cohen, Aaron C. Courville, Yoshua Bengio. GibbsNet: Iterative Adversarial Inference for Deep Graphical Models. In Isabelle Guyon, Ulrike von Luxburg, Samy Bengio, Hanna M. Wallach, Rob Fergus, S. V. N. Vishwanathan, Roman Garnett, editors, Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 4-9 December 2017, Long Beach, CA, USA. pages 5095-5104, 2017. [doi]

@inproceedings{LambHGCCB17,
  title = {GibbsNet: Iterative Adversarial Inference for Deep Graphical Models},
  author = {Alex Lamb and R. Devon Hjelm and Yaroslav Ganin and Joseph Paul Cohen and Aaron C. Courville and Yoshua Bengio},
  year = {2017},
  url = {http://papers.nips.cc/paper/7094-gibbsnet-iterative-adversarial-inference-for-deep-graphical-models},
  researchr = {https://researchr.org/publication/LambHGCCB17},
  cites = {0},
  citedby = {0},
  pages = {5095-5104},
  booktitle = {Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 4-9 December 2017, Long Beach, CA, USA},
  editor = {Isabelle Guyon and Ulrike von Luxburg and Samy Bengio and Hanna M. Wallach and Rob Fergus and S. V. N. Vishwanathan and Roman Garnett},
}