Yunchen Pu

发表

Continuous-Time Flows for Deep Generative Models

L. Carin, Liqun Chen, Chunyuan Li, 2017 .

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).

Recent work often develops a probabilistic model of the caption , conditioned on a video

Martin Renqiang Min, Yunchen Pu, 2017 .

2 Stein Learning of Variational Autoencoder ( Stein VAE ) 2

Ricardo Henao, L. Carin, Chunyuan Li, 2017 .

Tensor-Factor Analysis

Gregory P. Spell, L. Carin, Yunchen Pu, 2016 .

Compressive STEM-EELS

L. Carin, N. Browning, Yunchen Pu, 2016, Microscopy and Microanalysis.

Deep Generative Models for Image Representation Learning

Yunchen Pu, Yunchen Pu, 2018 .

Adversarial Symmetric Variational Autoencoder

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

Tensor-Dictionary Learning with Deep Kruskal-Factor Analysis

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

VAE Learning via Stein Variational Gradient Descent

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

Zero-Shot Learning via Class-Conditioned Deep Generative Models

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

lambda-Net: Reconstruct Hyperspectral Images From a Snapshot Measurement

Vassilis Athitsos, Xin Yuan, Xin Miao, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Variational Autoencoder for Deep Learning of Images, Labels and Captions

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

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

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

Compressive Sensing in Microscopy: a Tutorial

L. Carin, Q. Ramasse, N. Browning, 2016, Microscopy and Microanalysis.

Triangle Generative Adversarial Networks

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

Continuous-Time Flows for Efficient Inference and Density Estimation

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

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).

Semantic Compositional Networks for Visual Captioning

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

Parallel lensless compressive imaging via deep convolutional neural networks.

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

Symmetric Variational Autoencoder and Connections to Adversarial Learning pdf

Lawrence Carin, Liqun Chen, Weiyao Wang, 2017, AISTATS.

ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching

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

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.

Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling pdf

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

! " ! " ! : Input Object " : Output Label : Hidden Units : Weight with 8 a fixed value : Weight with a distribution

L. Carin, Chunyuan Li, Changyou Chen, 2016 .

SUPPLEMENTARY MATERIAL FOR "BAYESIAN DEEP DECONVOLUTIONAL LEARNING"

Xin Yuan, Lawrence Carin, Yunchen Pu, 2015 .

Learning Generic Sentence Representations Using Convolutional Neural Networks

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

Unsupervised Learning of Sentence Representations using Convolutional Neural Networks pdf

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

lambda-Net: Reconstruct Hyperspectral Images From a Snapshot Measurement

V. Athitsos, Yunchen Pu, Xin Yuan, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Convolutional factor analysis inspired compressive sensing

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

Compressive Sensing via Convolutional Factor Analysis pdf

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

Communication-Efficient Stochastic Gradient MCMC for Neural Networks

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

Stein Variational Autoencoder pdf

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