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Eric P. Xing

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Diversity-Promoting Bayesian Learning of Latent Variable Models

Nov 23, 2017
Pengtao Xie, Jun Zhu, Eric P. Xing

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Medical Diagnosis From Laboratory Tests by Combining Generative and Discriminative Learning

Nov 16, 2017
Shiyue Zhang, Pengtao Xie, Dong Wang, Eric P. Xing

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A Sparse Graph-Structured Lasso Mixed Model for Genetic Association with Confounding Correction

Nov 11, 2017
Wenting Ye, Xiang Liu, Haohan Wang, Eric P. Xing

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Structured Generative Adversarial Networks

Nov 02, 2017
Zhijie Deng, Hao Zhang, Xiaodan Liang, Luona Yang, Shizhen Xu, Jun Zhu, Eric P. Xing

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Learning Scalable Deep Kernels with Recurrent Structure

Oct 05, 2017
Maruan Al-Shedivat, Andrew Gordon Wilson, Yunus Saatchi, Zhiting Hu, Eric P. Xing

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Towards Visual Explanations for Convolutional Neural Networks via Input Resampling

Aug 16, 2017
Benjamin J. Lengerich, Sandeep Konam, Eric P. Xing, Stephanie Rosenthal, Manuela Veloso

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Dual Motion GAN for Future-Flow Embedded Video Prediction

Aug 03, 2017
Xiaodan Liang, Lisa Lee, Wei Dai, Eric P. Xing

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Generative Semantic Manipulation with Contrasting GAN

Aug 01, 2017
Xiaodan Liang, Hao Zhang, Eric P. Xing

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Efficient Correlated Topic Modeling with Topic Embedding

Jul 01, 2017
Junxian He, Zhiting Hu, Taylor Berg-Kirkpatrick, Ying Huang, Eric P. Xing

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Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters

Jun 11, 2017
Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing

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