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Geometrical Insights for Implicit Generative Modeling

Geometrical Insights for Implicit Generative Modeling

21 December 2017
Léon Bottou
Martín Arjovsky
David Lopez-Paz
Maxime Oquab
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Papers citing "Geometrical Insights for Implicit Generative Modeling"

8 / 8 papers shown
Title
Touring sampling with pushforward maps
Touring sampling with pushforward maps
Vivien A. Cabannes
Charles Arnal
26
0
0
23 Nov 2023
Survival Mixture Density Networks
Survival Mixture Density Networks
Xintian Han
Mark Goldstein
Rajesh Ranganath
26
5
0
23 Aug 2022
On the Convergence of Gradient Descent in GANs: MMD GAN As a Gradient
  Flow
On the Convergence of Gradient Descent in GANs: MMD GAN As a Gradient Flow
Youssef Mroueh
Truyen V. Nguyen
21
25
0
04 Nov 2020
Estimating Barycenters of Measures in High Dimensions
Estimating Barycenters of Measures in High Dimensions
Samuel N. Cohen
Michael Arbel
M. Deisenroth
10
22
0
14 Jul 2020
Smoothness and Stability in GANs
Smoothness and Stability in GANs
Casey Chu
Kentaro Minami
Kenji Fukumizu
GAN
16
56
0
11 Feb 2020
Statistical Inference for Generative Models with Maximum Mean
  Discrepancy
Statistical Inference for Generative Models with Maximum Mean Discrepancy
François‐Xavier Briol
Alessandro Barp
Andrew B. Duncan
Mark Girolami
16
70
0
13 Jun 2019
Maximum Mean Discrepancy Gradient Flow
Maximum Mean Discrepancy Gradient Flow
Michael Arbel
Anna Korba
Adil Salim
A. Gretton
21
158
0
11 Jun 2019
Nonparametric Density Estimation & Convergence Rates for GANs under
  Besov IPM Losses
Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses
Ananya Uppal
Shashank Singh
Barnabás Póczós
25
52
0
09 Feb 2019
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