팔로우
Yunchen Pu
Yunchen Pu
Research Scientist, Facebook
fb.com의 이메일 확인됨
제목
인용
인용
연도
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 29, 2016
6482016
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
3872017
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 30, 2017
2302017
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 30, 2017
139*2017
Zero-shot learning via class-conditioned deep generative models
W Wang, Y Pu, V Verma, K Fan, Y Zhang, C Chen, P Rai, L Carin
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
1342018
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
130*2016
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 30, 2017
1262017
l-net: Reconstruct hyperspectral images from a snapshot measurement
X Miao, X Yuan, Y Pu, V Athitsos
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
882019
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
662018
Parallel lensless compressive imaging via deep convolutional neural networks
X Yuan, Y Pu
Optics express 26 (2), 1962-1977, 2018
612018
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
492016
A deep generative deconvolutional image model
Y Pu, W Yuan, A Stevens, C Li, L Carin
Artificial Intelligence and Statistics, 741-750, 2016
462016
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
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
372016
Jointgan: Multi-domain joint distribution learning with generative adversarial nets
Y Pu, S Dai, Z Gan, W Wang, G Wang, Y Zhang, R Henao, LC Duke
International Conference on Machine Learning, 4151-4160, 2018
352018
Adaptive feature abstraction for translating video to text
Y Pu, M Min, Z Gan, L Carin
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
272018
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
172017
Generative deep deconvolutional learning
Y Pu, X Yuan, L Carin
arXiv preprint arXiv:1412.6039, 2014
16*2014
Continuous-time flows for deep generative models
C Chen, C Li, L Chen, W Wang, Y Pu, L Carin
arXiv preprint arXiv:1709.01179, 2017
132017
Adaptive feature abstraction for translating video to language
Y Pu, MR Min, Z Gan, L Carin
122017
현재 시스템이 작동되지 않습니다. 나중에 다시 시도해 주세요.
학술자료 1–20