371 citations · 446 across the 17 of their papers we have counts for
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stat.ML2017★ 2 cited
Compressive Sensing via Convolutional Factor Analysis
Xin Yuan, Yunchen Pu, Lawrence Carin
We solve the compressive sensing problem via convolutional factor analysis, where the convolutional dictionaries are learned {\em in situ} from the compressed measurements. An alte…
stat.ML2016★ 371 cited
Variational Autoencoder for Deep Learning of Images, Labels and Captions
Yunchen Pu, Zhe Gan, Ricardo Henao +4
A novel variational autoencoder is developed to model images, as well as associated labels or captions. The Deep Generative Deconvolutional Network (DGDN) is used as a decoder of t…
stat.ML2014★ 4 cited
Generative Deep Deconvolutional Learning
Yunchen Pu, Xin Yuan, Lawrence Carin
A generative Bayesian model is developed for deep (multi-layer) convolutional dictionary learning. A novel probabilistic pooling operation is integrated into the deep model, yieldi…