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Continuous-Time Flows for Efficient Inference and Density Estimation

Aug 01, 2018
Changyou Chen, Chunyuan Li, Liqun Chen, Wenlin Wang, Yunchen Pu, Lawrence Carin

* ICML 2018 (fixed a reference) 

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JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets

Jun 08, 2018
Yunchen Pu, Shuyang Dai, Zhe Gan, Weiyao Wang, Guoyin Wang, Yizhe Zhang, Ricardo Henao, Lawrence Carin

* Accepted by ICML 2018 

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Zero-Shot Learning via Class-Conditioned Deep Generative Models

Nov 19, 2017
Wenlin Wang, Yunchen Pu, Vinay Kumar Verma, Kai Fan, Yizhe Zhang, Changyou Chen, Piyush Rai, Lawrence Carin

* To appear in AAAI 2018 

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Triangle Generative Adversarial Networks

Nov 18, 2017
Zhe Gan, Liqun Chen, Weiyao Wang, Yunchen Pu, Yizhe Zhang, Hao Liu, Chunyuan Li, Lawrence Carin

* To appear in NIPS 2017 

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Adversarial Symmetric Variational Autoencoder

Nov 18, 2017
Yunchen Pu, Weiyao Wang, Ricardo Henao, Liqun Chen, Zhe Gan, Chunyuan Li, Lawrence Carin

* Accepted to NIPS 2017 

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VAE Learning via Stein Variational Gradient Descent

Nov 17, 2017
Yunchen Pu, Zhe Gan, Ricardo Henao, Chunyuan Li, Shaobo Han, Lawrence Carin

* Accepted to NIPS 2017 

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Adaptive Feature Abstraction for Translating Video to Text

Nov 17, 2017
Yunchen Pu, Martin Renqiang Min, Zhe Gan, Lawrence Carin

* Accepted to AAAI 2018 

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ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

Nov 05, 2017
Chunyuan Li, Hao Liu, Changyou Chen, Yunchen Pu, Liqun Chen, Ricardo Henao, Lawrence Carin

* NIPS 2017 (22 pages); short version (9 pages): http://people.duke.edu/~cl319/doc/papers/nips_2017_alice.pdf 

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Symmetric Variational Autoencoder and Connections to Adversarial Learning

Oct 19, 2017
Liqun Chen, Shuyang Dai, Yunchen Pu, Chunyuan Li, Qinliang Su, Lawrence Carin


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Learning Generic Sentence Representations Using Convolutional Neural Networks

Jul 26, 2017
Zhe Gan, Yunchen Pu, Ricardo Henao, Chunyuan Li, Xiaodong He, Lawrence Carin

* Accepted by EMNLP 2017 

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Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling

Apr 24, 2017
Zhe Gan, Chunyuan Li, Changyou Chen, Yunchen Pu, Qinliang Su, Lawrence Carin

* Accepted to ACL 2017 

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Semantic Compositional Networks for Visual Captioning

Mar 28, 2017
Zhe Gan, Chuang Gan, Xiaodong He, Yunchen Pu, Kenneth Tran, Jianfeng Gao, Lawrence Carin, Li Deng

* Accepted in CVPR 2017 

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Tensor-Dictionary Learning with Deep Kruskal-Factor Analysis

Mar 05, 2017
Andrew Stevens, Yunchen Pu, Yannan Sun, Greg Spell, Lawrence Carin

* AISTATS 2017 

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Compressive Sensing via Convolutional Factor Analysis

Jan 11, 2017
Xin Yuan, Yunchen Pu, Lawrence Carin

* 17 pages, 6 figures 

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Variational Autoencoder for Deep Learning of Images, Labels and Captions

Sep 28, 2016
Yunchen Pu, Zhe Gan, Ricardo Henao, Xin Yuan, Chunyuan Li, Andrew Stevens, Lawrence Carin

* NIPS 2016 (To appear) 

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A Deep Generative Deconvolutional Image Model

Dec 23, 2015
Yunchen Pu, Xin Yuan, Andrew Stevens, Chunyuan Li, Lawrence Carin

* 10 pages, 7 figures. Appearing in Proceedings of the 19th International Conference on Artificial Intelligence and Statistics (AISTATS) 2016, Cadiz, Spain. JMLR: W&CP volume 41 

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A Generative Model for Deep Convolutional Learning

Apr 15, 2015
Yunchen Pu, Xin Yuan, Lawrence Carin

* 3 pages, 1 figure, ICLR workshop 

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Generative Deep Deconvolutional Learning

Feb 22, 2015
Yunchen Pu, Xin Yuan, Lawrence Carin

* 21 pages, 9 figures, revised version for ICLR 2015 

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