Deep Generative Models with Stick-Breaking Priors

By Eric T. Nalisnick, Padhraic Smyth. 2016

21 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Phil Blunsom
2. Edward Grefenstette
3. Yishu Miao
4. Yoshua Bengio
5. Jianfeng Gao
6. Mohit Bansal
7. Kyunghyun Cho
8. Zhe Gan

Citations in the corpus

• Discovering Discrete Latent Topics with Neural Variational Inference (2017, background): “Nalisnick & Smyth (2016) (Hoffman et al., 2010) and neural variational inference LDA (NVLDA) (Srivastava & Sutton, 2016) models.”
• Approximate Inference for Deep Latent Gaussian Mixtures (2016, methodology): “For instance, Kingma et al. [7] employ full-covariance Gaussian posteriors, and Nalisnick & Smyth [13] use (truncated) GEM random variables.”