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Entropic GANs meet VAEs: A Statistical Approach to Compute Sample
  Likelihoods in GANs
v1v2 (latest)

Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs

9 October 2018
Yogesh Balaji
Hamed Hassani
Rama Chellappa
Soheil Feizi
    GANDRL
ArXiv (abs)PDFHTML

Papers citing "Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs"

12 / 12 papers shown
Title
Extracting Training Data from Diffusion Models
Extracting Training Data from Diffusion ModelsUSENIX Security Symposium (USENIX Security), 2023
Nicholas Carlini
Jamie Hayes
Milad Nasr
Matthew Jagielski
Vikash Sehwag
Florian Tramèr
Borja Balle
Daphne Ippolito
Eric Wallace
DiffM
409
774
0
30 Jan 2023
Understanding Entropic Regularization in GANs
Understanding Entropic Regularization in GANsInternational Symposium on Information Theory (ISIT), 2021
Daria Reshetova
Yikun Bai
Xiugang Wu
Ayfer Özgür
143
10
0
02 Nov 2021
Symmetric Wasserstein Autoencoders
Symmetric Wasserstein Autoencoders
S. Sun
Hong Guo
DiffMGAN
132
0
0
24 Jun 2021
Exploiting Chain Rule and Bayes' Theorem to Compare Probability
  Distributions
Exploiting Chain Rule and Bayes' Theorem to Compare Probability DistributionsNeural Information Processing Systems (NeurIPS), 2020
Huangjie Zheng
Mingyuan Zhou
OT
508
30
0
28 Dec 2020
Image Synthesis with Adversarial Networks: a Comprehensive Survey and
  Case Studies
Image Synthesis with Adversarial Networks: a Comprehensive Survey and Case StudiesInformation Fusion (Inf. Fusion), 2020
Pourya Shamsolmoali
Masoumeh Zareapoor
Mohammadhadi Shateri
Huiyu Zhou
Ruili Wang
M. E. Celebi
Jie Yang
EGVM
263
151
0
26 Dec 2020
Entropy-regularized optimal transport on multivariate normal and
  q-normal distributions
Entropy-regularized optimal transport on multivariate normal and q-normal distributions
Qijun Tong
Kei Kobayashi
OT
134
7
0
19 Dec 2020
AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation
AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation
Jae Hyun Lim
Aaron Courville
C. Pal
Chin-Wei Huang
DRL
129
24
0
09 Jun 2020
Unsupervised Anomaly Detection with Adversarial Mirrored AutoEncoders
Unsupervised Anomaly Detection with Adversarial Mirrored AutoEncoders
Gowthami Somepalli
Y. Wu
Yogesh Balaji
B. Vinzamuri
Soheil Feizi
196
3
0
24 Mar 2020
Adversarial Robustness of Flow-Based Generative Models
Adversarial Robustness of Flow-Based Generative ModelsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Phillip E. Pope
Yogesh Balaji
Soheil Feizi
AAML
84
20
0
20 Nov 2019
Improved BiGAN training with marginal likelihood equalization
Improved BiGAN training with marginal likelihood equalization
Pablo Sánchez-Martín
Pablo M. Olmos
Fernando Perez-Cruz
GAN
199
2
0
04 Nov 2019
Prescribed Generative Adversarial Networks
Prescribed Generative Adversarial Networks
Adji Bousso Dieng
Francisco J. R. Ruiz
David M. Blei
Michalis K. Titsias
GANDRL
171
61
0
09 Oct 2019
Understanding the (un)interpretability of natural image distributions
  using generative models
Understanding the (un)interpretability of natural image distributions using generative models
Ryen Krusinga
Sohil Shah
Matthias Zwicker
Tom Goldstein
David Jacobs
DiffMFAttGAN
253
11
0
06 Jan 2019
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