Multiresolution Deep Belief Networks

By Yichuan Tang, Abdel-rahman Mohamed. 2012

26 citations recorded by the source corpus.

Subfields: Generative Models

How researchers see this paper

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

In Generative Models

1. Jimei Yang
2. Honglak Lee
3. Thomas Brox
4. Alexey Dosovitskiy
5. Jost Tobias Springenberg
6. Kihyuk Sohn
7. Xinchen Yan
8. Björn Ommer

Citations in the corpus

• Learning to generate chairs with convolutional neural networks (2014, background): “RBMs and DBMs are undirected graphical models which aim to build a probabilistic model of the data and treat encoding and generation as an (intractable) joint inference problem.”
• Attribute2Image: Conditional Image Generation from Visual Attributes (2015, background): “As a representative example, the restricted Boltzmann machine (RBM) [33] and its variants [28, 25, 30, 15, 37, 31] have been widely studied for image modeling.”