Yunchen Pu

发表

Unsupervised Change Detection Based on Iterative Histogram Matching and Bayesian Decision of Thresholding

Wei Wang, Qiongcheng Xu, Yunchen Pu, 2012, 2012 Fifth International Joint Conference on Computational Sciences and Optimization.

Communication-Efficient Stochastic Gradient MCMC for Neural Networks

Lawrence Carin, Yunchen Pu, Chunyuan Li, 2019, AAAI.

Zero-Shot Learning via Class-Conditioned Deep Generative Models

Kai Fan, Lawrence Carin, Piyush Rai, 2017, AAAI.

Bayesian Deep Deconvolutional Learning pdf

Xin Yuan, Lawrence Carin, Yunchen Pu, 2014, ArXiv.

Deep Learning for Lensless Compressive Imaging

Xin Yuan, Yunchen Pu, 2018 .

SUPPLEMENTARY MATERIAL FOR "BAYESIAN DEEP DECONVOLUTIONAL LEARNING"

Xin Yuan, Lawrence Carin, Yunchen Pu, 2015 .

Adaptive DCTNet for audio signal classification

Liang Lu, Zhe Gan, Yunchen Pu, 2017, ICASSP.

Adaptive DCTNet for audio signal classification

Liang Lu, Zhe Gan, Yunchen Pu, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Deep Overcomplete Tensor Rank-Decompositions pdf

Lawrence Carin, Yannan Sun, Yunchen Pu, 2016, ArXiv.

Adaptive Feature Abstraction for Translating Video to Text

Zhe Gan, Lawrence Carin, Martin Renqiang Min, 2018, AAAI.

Continuous-Time Flows for Efficient Inference and Density Estimation

Lawrence Carin, Yunchen Pu, Chunyuan Li, 2017, ICML.

Variational Autoencoder for Deep Learning of Images, Labels and Captions

Zhe Gan, Xin Yuan, Lawrence Carin, 2016, NIPS.

Parallel lensless compressive imaging via deep convolutional neural networks.

Xin Yuan, Yunchen Pu, Yunchen Pu, 2018, Optics express.

Multispectral remote sensing image change detection based on Markovian fusion

Wei Wang, Qiongcheng Xu, Yunchen Pu, 2012, 2012 First International Conference on Agro- Geoinformatics (Agro-Geoinformatics).

Unsupervised Learning of Sentence Representations using Convolutional Neural Networks pdf

Zhe Gan, Lawrence Carin, Xiaodong He, 2016, ArXiv.

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

Guoyin Wang, Zhe Gan, Lawrence Carin, 2018, ICML.

Learning Generic Sentence Representations Using Convolutional Neural Networks

Zhe Gan, Lawrence Carin, Xiaodong He, 2016, EMNLP.

Triangle Generative Adversarial Networks

Zhe Gan, Lawrence Carin, Liqun Chen, 2017, NIPS.

Stein Variational Autoencoder pdf

Zhe Gan, Lawrence Carin, Yunchen Pu, 2017, ArXiv.

Deep Generative Models for Image Representation Learning

Yunchen Pu, Yunchen Pu, 2018 .

Generative Deep Deconvolutional Learning

Xin Yuan, Lawrence Carin, Yunchen Pu, 2014 .

A Deep Generative Deconvolutional Image Model pdf

Xin Yuan, Lawrence Carin, Yunchen Pu, 2015, AISTATS.

Image Change Detection Based on the Minimum Mean Square Error

Wei Wang, Qiongcheng Xu, Yunchen Pu, 2012, 2012 Fifth International Joint Conference on Computational Sciences and Optimization.

Semantic Compositional Networks for Visual Captioning

Zhe Gan, Jianfeng Gao, Li Deng, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling pdf

Zhe Gan, Lawrence Carin, Yunchen Pu, 2016, ACL.

Convolutional factor analysis inspired compressive sensing

Xin Yuan, Yunchen Pu, Yunchen Pu, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

Learning Weight Uncertainty with Stochastic Gradient MCMC for Shape Classification

Zhe Gan, Lawrence Carin, Yunchen Pu, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Adaptive Feature Abstraction for Translating Video to Language pdf

Zhe Gan, Lawrence Carin, Martin Renqiang Min, 2017, ICLR.

Compressive Sensing via Convolutional Factor Analysis pdf

Xin Yuan, Lawrence Carin, Yunchen Pu, 2017, ArXiv.

Adversarial Symmetric Variational Autoencoder

Zhe Gan, Lawrence Carin, Liqun Chen, 2017, NIPS.

VAE Learning via Stein Variational Gradient Descent

Zhe Gan, Lawrence Carin, Yunchen Pu, 2017, NIPS.

A Generative Model for Deep Convolutional Learning pdf

Xin Yuan, Lawrence Carin, Yunchen Pu, 2015, ICLR.

ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

Lawrence Carin, Liqun Chen, Yunchen Pu, 2017, NIPS.

Tensor-Dictionary Learning with Deep Kruskal-Factor Analysis

Lawrence Carin, Yannan Sun, Yunchen Pu, 2016, AISTATS.

Image change detection based on cross-correlation coefficient by using Genetic Algorithm

Wei Wang, Qiongcheng Xu, Yunchen Pu, 2012, 2012 First International Conference on Agro- Geoinformatics (Agro-Geoinformatics).