ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1701.04722
  4. Cited By
Adversarial Variational Bayes: Unifying Variational Autoencoders and
  Generative Adversarial Networks

Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks

17 January 2017
L. Mescheder
Sebastian Nowozin
Andreas Geiger
    GAN
    BDL
ArXivPDFHTML

Papers citing "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks"

20 / 270 papers shown
Title
On Unifying Deep Generative Models
On Unifying Deep Generative Models
Zhiting Hu
Zichao Yang
Ruslan Salakhutdinov
Eric P. Xing
DRL
GAN
41
127
0
02 Jun 2017
PixelGAN Autoencoders
PixelGAN Autoencoders
Alireza Makhzani
Brendan J. Frey
GAN
32
100
0
02 Jun 2017
The Numerics of GANs
The Numerics of GANs
L. Mescheder
Sebastian Nowozin
Andreas Geiger
GAN
37
455
0
30 May 2017
Kernel Implicit Variational Inference
Kernel Implicit Variational Inference
Jiaxin Shi
Shengyang Sun
Jun Zhu
BDL
24
3
0
29 May 2017
Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in
  Generative Models
Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models
Aditya Grover
Manik Dhar
Stefano Ermon
GAN
36
24
0
24 May 2017
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational
  Learning
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning
Akash Srivastava
Lazar Valkov
Chris Russell
Michael U. Gutmann
Charles Sutton
SyDa
GAN
24
673
0
22 May 2017
From optimal transport to generative modeling: the VEGAN cookbook
From optimal transport to generative modeling: the VEGAN cookbook
Olivier Bousquet
Sylvain Gelly
Ilya O. Tolstikhin
Carl-Johann Simon-Gabriel
B. Schoelkopf
OT
22
147
0
22 May 2017
Accelerated Parallel Non-conjugate Sampling for Bayesian Non-parametric
  Models
Accelerated Parallel Non-conjugate Sampling for Bayesian Non-parametric Models
M. Zhang
Sinead Williamson
Fernando Perez-Cruz
26
1
0
19 May 2017
Relaxed Wasserstein with Applications to GANs
Relaxed Wasserstein with Applications to GANs
Xin Guo
Johnny Hong
Tianyi Lin
Nan Yang
GAN
28
35
0
19 May 2017
Gradient Estimators for Implicit Models
Gradient Estimators for Implicit Models
Yingzhen Li
Richard Turner
35
104
0
19 May 2017
VAE with a VampPrior
VAE with a VampPrior
Jakub M. Tomczak
Max Welling
GAN
BDL
34
622
0
19 May 2017
Comparison of Maximum Likelihood and GAN-based training of Real NVPs
Comparison of Maximum Likelihood and GAN-based training of Real NVPs
Ivo Danihelka
Balaji Lakshminarayanan
Benigno Uria
Daan Wierstra
Peter Dayan
GAN
24
53
0
15 May 2017
Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play
Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play
Sainbayar Sukhbaatar
Zeming Lin
Ilya Kostrikov
Gabriel Synnaeve
Arthur Szlam
Rob Fergus
SSL
28
329
0
15 Mar 2017
Hierarchical Implicit Models and Likelihood-Free Variational Inference
Hierarchical Implicit Models and Likelihood-Free Variational Inference
Dustin Tran
Rajesh Ranganath
David M. Blei
VLM
GAN
30
100
0
28 Feb 2017
Approximate Inference with Amortised MCMC
Approximate Inference with Amortised MCMC
Yingzhen Li
Richard Turner
Qiang Liu
BDL
19
61
0
27 Feb 2017
Variational Inference using Implicit Distributions
Variational Inference using Implicit Distributions
Ferenc Huszár
DRL
GAN
11
135
0
27 Feb 2017
Deep Models Under the GAN: Information Leakage from Collaborative Deep
  Learning
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning
Briland Hitaj
G. Ateniese
Fernando Perez-Cruz
FedML
35
1,377
0
24 Feb 2017
A Hybrid Convolutional Variational Autoencoder for Text Generation
A Hybrid Convolutional Variational Autoencoder for Text Generation
Stanislau Semeniuta
Aliaksei Severyn
Erhardt Barth
18
251
0
08 Feb 2017
Learning in Implicit Generative Models
Learning in Implicit Generative Models
S. Mohamed
Balaji Lakshminarayanan
GAN
25
412
0
11 Oct 2016
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
251
2,550
0
25 Jan 2016
Previous
123456