Efficient Deep Gaussian Process Models for Variable-Sized Inputs

Issam H. Laradji, Mark Schmidt, Vladimir Pavlovic, Minyoung Kim. Efficient Deep Gaussian Process Models for Variable-Sized Inputs. In International Joint Conference on Neural Networks, IJCNN 2019 Budapest, Hungary, July 14-19, 2019. pages 1-7, IEEE, 2019. [doi]

@inproceedings{LaradjiSPK19,
  title = {Efficient Deep Gaussian Process Models for Variable-Sized Inputs},
  author = {Issam H. Laradji and Mark Schmidt and Vladimir Pavlovic and Minyoung Kim},
  year = {2019},
  doi = {10.1109/IJCNN.2019.8851768},
  url = {https://doi.org/10.1109/IJCNN.2019.8851768},
  researchr = {https://researchr.org/publication/LaradjiSPK19},
  cites = {0},
  citedby = {0},
  pages = {1-7},
  booktitle = {International Joint Conference on Neural Networks, IJCNN 2019 Budapest, Hungary, July 14-19, 2019},
  publisher = {IEEE},
  isbn = {978-1-7281-1985-4},
}