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Comparison of Maximum Likelihood and GAN-based training of Real NVPs

Comparison of Maximum Likelihood and GAN-based training of Real NVPs

15 May 2017
Ivo Danihelka
Balaji Lakshminarayanan
Benigno Uria
Daan Wierstra
Peter Dayan
    GAN
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Papers citing "Comparison of Maximum Likelihood and GAN-based training of Real NVPs"

14 / 14 papers shown
Title
Training Invertible Neural Networks as Autoencoders
Training Invertible Neural Networks as Autoencoders
The-Gia Leo Nguyen
Lynton Ardizzone
Ullrich Kothe
BDL
DRL
SSL
27
9
0
20 Mar 2023
A Review on Generative Adversarial Networks: Algorithms, Theory, and
  Applications
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
Jie Gui
Zhenan Sun
Yonggang Wen
Dacheng Tao
Jieping Ye
EGVM
26
817
0
20 Jan 2020
Towards GAN Benchmarks Which Require Generalization
Towards GAN Benchmarks Which Require Generalization
Ishaan Gulrajani
Colin Raffel
Luke Metz
18
57
0
10 Jan 2020
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows
PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows
Guandao Yang
Xun Huang
Zekun Hao
Ming-Yu Liu
Serge J. Belongie
Bharath Hariharan
3DPC
13
654
0
28 Jun 2019
Bias Correction of Learned Generative Models using Likelihood-Free
  Importance Weighting
Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting
Aditya Grover
Jiaming Song
Alekh Agarwal
Kenneth Tran
Ashish Kapoor
Eric Horvitz
Stefano Ermon
26
123
0
23 Jun 2019
Analyzing Inverse Problems with Invertible Neural Networks
Analyzing Inverse Problems with Invertible Neural Networks
Lynton Ardizzone
Jakob Kruse
Sebastian J. Wirkert
D. Rahner
E. Pellegrini
R. Klessen
Lena Maier-Hein
Carsten Rother
Ullrich Kothe
18
482
0
14 Aug 2018
On GANs and GMMs
On GANs and GMMs
Eitan Richardson
Yair Weiss
GAN
17
149
0
31 May 2018
Transferring GANs: generating images from limited data
Transferring GANs: generating images from limited data
Yaxing Wang
Chenshen Wu
Luis Herranz
Joost van de Weijer
Abel Gonzalez-Garcia
Bogdan Raducanu
18
283
0
04 May 2018
Quantitatively Evaluating GANs With Divergences Proposed for Training
Quantitatively Evaluating GANs With Divergences Proposed for Training
Daniel Jiwoong Im
He Ma
Graham W. Taylor
K. Branson
EGVM
19
69
0
02 Mar 2018
Is Generator Conditioning Causally Related to GAN Performance?
Is Generator Conditioning Causally Related to GAN Performance?
Augustus Odena
Jacob Buckman
Catherine Olsson
Tom B. Brown
C. Olah
Colin Raffel
Ian Goodfellow
AI4CE
24
112
0
23 Feb 2018
Generative Adversarial Networks using Adaptive Convolution
Generative Adversarial Networks using Adaptive Convolution
Nhat M. Nguyen
Nilanjan Ray
GAN
10
1
0
25 Jan 2018
Demystifying MMD GANs
Demystifying MMD GANs
Mikolaj Binkowski
Danica J. Sutherland
Michael Arbel
A. Gretton
EGVM
43
1,449
0
04 Jan 2018
Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At
  Every Step
Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step
W. Fedus
Mihaela Rosca
Balaji Lakshminarayanan
Andrew M. Dai
S. Mohamed
Ian Goodfellow
GAN
11
208
0
23 Oct 2017
Filtering Variational Objectives
Filtering Variational Objectives
Chris J. Maddison
Dieterich Lawson
George Tucker
N. Heess
Mohammad Norouzi
A. Mnih
Arnaud Doucet
Yee Whye Teh
FedML
20
210
0
25 May 2017
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