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Bayesian GAN
v1v2v3 (latest)

Bayesian GAN

26 May 2017
Yunus Saatci
A. Wilson
    GAN
ArXiv (abs)PDFHTML

Papers citing "Bayesian GAN"

15 / 65 papers shown
Title
Understanding Priors in Bayesian Neural Networks at the Unit Level
Understanding Priors in Bayesian Neural Networks at the Unit Level
M. Vladimirova
Jakob Verbeek
Pablo Mesejo
Julyan Arbel
BDLUQCV
70
4
0
11 Oct 2018
Deep convolutional Gaussian processes
Deep convolutional Gaussian processes
Kenneth Blomqvist
Samuel Kaski
Markus Heinonen
BDL
86
61
0
06 Oct 2018
Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods
Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods
Apratim Bhattacharyya
Mario Fritz
Bernt Schiele
UQCV
103
46
0
01 Oct 2018
A Review of Learning with Deep Generative Models from Perspective of
  Graphical Modeling
A Review of Learning with Deep Generative Models from Perspective of Graphical Modeling
Zhijian Ou
100
16
0
05 Aug 2018
Doubly Stochastic Adversarial Autoencoder
Doubly Stochastic Adversarial Autoencoder
Mahdi Azarafrooz
GAN
19
1
0
19 Jul 2018
K-Beam Minimax: Efficient Optimization for Deep Adversarial Learning
K-Beam Minimax: Efficient Optimization for Deep Adversarial Learning
Jihun Hamm
Yung-Kyun Noh
79
9
0
29 May 2018
BourGAN: Generative Networks with Metric Embeddings
BourGAN: Generative Networks with Metric Embeddings
Chang Xiao
Peilin Zhong
Changxi Zheng
GAN
90
69
0
19 May 2018
Sampling-Free Variational Inference of Bayesian Neural Networks by
  Variance Backpropagation
Sampling-Free Variational Inference of Bayesian Neural Networks by Variance Backpropagation
Manuel Haussmann
Fred Hamprecht
M. Kandemir
BDL
72
6
0
19 May 2018
Generative Adversarial Network based Autoencoder: Application to fault
  detection problem for closed loop dynamical systems
Generative Adversarial Network based Autoencoder: Application to fault detection problem for closed loop dynamical systems
Indrasis Chakraborty
Rudrasis Chakraborty
D. Vrabie
DRLAI4CE
18
4
0
15 Apr 2018
Graphical Generative Adversarial Networks
Graphical Generative Adversarial Networks
Chongxuan Li
Max Welling
Jun Zhu
Bo Zhang
GAN
47
36
0
10 Apr 2018
Learning the Base Distribution in Implicit Generative Models
Learning the Base Distribution in Implicit Generative Models
Cem Subakan
Oluwasanmi Koyejo
Paris Smaragdis
GANDRL
35
8
0
12 Mar 2018
Bayesian Renewables Scenario Generation via Deep Generative Networks
Bayesian Renewables Scenario Generation via Deep Generative Networks
Yize Chen
Pan Li
Baosen Zhang
69
42
0
02 Feb 2018
MINE: Mutual Information Neural Estimation
MINE: Mutual Information Neural Estimation
Mohamed Ishmael Belghazi
A. Baratin
Sai Rajeswar
Sherjil Ozair
Yoshua Bengio
Aaron Courville
R. Devon Hjelm
DRL
244
1,286
0
12 Jan 2018
On Connecting Stochastic Gradient MCMC and Differential Privacy
On Connecting Stochastic Gradient MCMC and Differential Privacy
Bai Li
Changyou Chen
Hao Liu
Lawrence Carin
76
38
0
25 Dec 2017
Learning Scalable Deep Kernels with Recurrent Structure
Learning Scalable Deep Kernels with Recurrent Structure
Maruan Al-Shedivat
A. Wilson
Yunus Saatchi
Zhiting Hu
Eric Xing
BDL
104
105
0
27 Oct 2016
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