Bibliography

Citing

When using one of the models implemented in this repo in academic work please cite the corresponding paper. In case you want to cite the NPF website or this specific implementation of the NPs then you can use:

@misc{dubois2020npf,
  title        = {Neural Process Family},
  author       = {Dubois, Yann and Gordon, Jonathan and Foong, Andrew YK},
  month        = {September},
  year         = {2020},
  howpublished = {\url{http://yanndubs.github.io/Neural-Process-Family/}}
}

Bibliography

BCB15

Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. Neural machine translation by jointly learning to align and translate. In Yoshua Bengio and Yann LeCun, editors, 3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Conference Track Proceedings. 2015. URL: http://arxiv.org/abs/1409.0473.

Ell87

Aaron M Ellison. Effect of seed dimorphism on the density-dependent dynamics of experimental populations of atriplex triangularis (chenopodiaceae). American Journal of Botany, 74(8):1280–1288, 1987.

FBG+20

Andrew YK Foong, Wessel P Bruinsma, Jonathan Gordon, Yann Dubois, James Requeima, and Richard E Turner. Meta-learning stationary stochastic process prediction with convolutional neural processes. arXiv preprint arXiv:2007.01332, 2020.

FM82

Kunihiko Fukushima and Sei Miyake. Neocognitron: a self-organizing neural network model for a mechanism of visual pattern recognition. In Competition and cooperation in neural nets, pages 267–285. Springer, 1982.

GRM+18

Marta Garnelo, Dan Rosenbaum, Christopher Maddison, Tiago Ramalho, David Saxton, Murray Shanahan, Yee Whye Teh, Danilo Jimenez Rezende, and S. M. Ali Eslami. Conditional neural processes. In Jennifer G. Dy and Andreas Krause, editors, Proceedings of the 35th International Conference on Machine Learning, ICML 2018, Stockholmsmässan, Stockholm, Sweden, July 10-15, 2018, volume 80 of Proceedings of Machine Learning Research, 1690–1699. PMLR, 2018. URL: http://proceedings.mlr.press/v80/garnelo18a.html.

GSR+18

Marta Garnelo, Jonathan Schwarz, Dan Rosenbaum, Fabio Viola, Danilo J. Rezende, S. M. Ali Eslami, and Yee Whye Teh. Neural processes. CoRR, 2018. URL: http://arxiv.org/abs/1807.01622, arXiv:1807.01622.

GBF+20

Jonathan Gordon, Wessel P. Bruinsma, Andrew Y. K. Foong, James Requeima, Yann Dubois, and Richard E. Turner. Convolutional conditional neural processes. In 8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26-30, 2020. OpenReview.net, 2020. URL: https://openreview.net/forum?id=Skey4eBYPS.

KMS+19

Hyunjik Kim, Andriy Mnih, Jonathan Schwarz, Marta Garnelo, S. M. Ali Eslami, Dan Rosenbaum, Oriol Vinyals, and Yee Whye Teh. Attentive neural processes. In 7th International Conference on Learning Representations, ICLR 2019, New Orleans, LA, USA, May 6-9, 2019. OpenReview.net, 2019. URL: https://openreview.net/forum?id=SkE6PjC9KX.

LKG+18

Tuan Anh Le, Hyunjik Kim, Marta Garnelo, Dan Rosenbaum, Jonathan Schwarz, and Yee Whye Teh. Empirical evaluation of neural process objectives. In NeurIPS workshop on Bayesian Deep Learning. 2018.

LBD+89

Yann LeCun, Bernhard Boser, John S Denker, Donnie Henderson, Richard E Howard, Wayne Hubbard, and Lawrence D Jackel. Backpropagation applied to handwritten zip code recognition. Neural computation, 1(4):541–551, 1989.

LBB+98

Yann LeCun, Léon Bottou, Yoshua Bengio, Patrick Haffner, and others. Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11):2278–2324, 1998.

LLWT18

Ziwei Liu, Ping Luo, Xiaogang Wang, and Xiaoou Tang. Large-scale celebfaces attributes (celeba) dataset. Retrieved August, 15:2018, 2018.

LLUZ16

Wenjie Luo, Yujia Li, Raquel Urtasun, and Richard Zemel. Understanding the effective receptive field in deep convolutional neural networks. In Advances in neural information processing systems, 4898–4906. 2016.

ZKR+17

Manzil Zaheer, Satwik Kottur, Siamak Ravanbakhsh, Barnabas Poczos, Ruslan R Salakhutdinov, and Alexander J Smola. Deep sets. In I. Guyon, U. V. Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan, and R. Garnett, editors, Advances in Neural Information Processing Systems 30, pages 3391–3401. 2017.