Yunchen Pu
Title
Cited by
Cited by
Year
Variational autoencoder for deep learning of images, labels and captions
Y Pu, Z Gan, R Henao, X Yuan, C Li, A Stevens, L Carin
Advances in neural information processing systems, 2352-2360, 2016
3792016
Semantic compositional networks for visual captioning
Z Gan, C Gan, X He, Y Pu, K Tran, J Gao, L Carin, L Deng
Proceedings of the IEEE conference on computer vision and pattern …, 2017
2532017
Alice: Towards understanding adversarial learning for joint distribution matching
C Li, H Liu, C Chen, Y Pu, L Chen, R Henao, L Carin
Advances in Neural Information Processing Systems, 5495-5503, 2017
1472017
Learning generic sentence representations using convolutional neural networks
Z Gan, Y Pu, R Henao, C Li, X He, L Carin
arXiv preprint arXiv:1611.07897, 2016
95*2016
Vae learning via stein variational gradient descent
Y Pu, Z Gan, R Henao, C Li, S Han, L Carin
Advances in Neural Information Processing Systems, 4236-4245, 2017
89*2017
Zero-shot learning via class-conditioned deep generative models
W Wang, Y Pu, VK Verma, K Fan, Y Zhang, C Chen, P Rai, L Carin
arXiv preprint arXiv:1711.05820, 2017
842017
Triangle generative adversarial networks
Z Gan, L Chen, W Wang, Y Pu, Y Zhang, H Liu, C Li, L Carin
Advances in neural information processing systems, 5247-5256, 2017
842017
Symmetric variational autoencoder and connections to adversarial learning
L Chen, S Dai, Y Pu, E Zhou, C Li, Q Su, C Chen, L Carin
International Conference on Artificial Intelligence and Statistics, 661-669, 2018
462018
A deep generative deconvolutional image model
Y Pu, W Yuan, A Stevens, C Li, L Carin
Artificial Intelligence and Statistics, 741-750, 2016
452016
Parallel lensless compressive imaging via deep convolutional neural networks
X Yuan, Y Pu
Optics express 26 (2), 1962-1977, 2018
392018
Scalable bayesian learning of recurrent neural networks for language modeling
Z Gan, C Li, C Chen, Y Pu, Q Su, L Carin
arXiv preprint arXiv:1611.08034, 2016
312016
Learning weight uncertainty with stochastic gradient mcmc for shape classification
C Li, A Stevens, C Chen, Y Pu, Z Gan, L Carin
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
312016
Adaptive Feature Abstraction for Translating Video to Text.
Y Pu, MR Min, Z Gan, L Carin
AAAI, 7284-7291, 2018
262018
Implicit causal models for genome-wide association studies
D Tran, DM Blei
arXiv preprint arXiv:1710.10742, 2017
242017
lambda-Net: Reconstruct Hyperspectral Images From a Snapshot Measurement
X Miao, X Yuan, Y Pu, V Athitsos
2019 IEEE/CVF International Conference on Computer Vision (ICCV), 4058-4068, 2019
232019
Jointgan: Multi-domain joint distribution learning with generative adversarial nets
Y Pu, S Dai, Z Gan, W Wang, G Wang, Y Zhang, R Henao, L Carin
arXiv preprint arXiv:1806.02978, 2018
222018
Continuous-time flows for efficient inference and density estimation
C Chen, C Li, L Chen, W Wang, Y Pu, LC Duke
International Conference on Machine Learning, 824-833, 2018
212018
Generative deep deconvolutional learning
Y Pu, X Yuan, L Carin
arXiv preprint arXiv:1412.6039, 2014
16*2014
Tensor-dictionary learning with deep kruskal-factor analysis
A Stevens, Y Pu, Y Sun, G Spell, L Carin
Artificial Intelligence and Statistics, 121-129, 2017
152017
Image change detection based on the minimum mean square error
Y Pu, W Wang, Q Xu
2012 Fifth International Joint Conference on Computational Sciences and …, 2012
112012
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