Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models

24 May 2017

Papers citing "Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models"

5 / 5 papers shown

Title
On the Evaluation of Generative Adversarial Networks By Discriminative Models A. Torfi Mohammadreza Beyki Edward A. Fox EGVM 11 7 0 07 Oct 2020
Understanding the (un)interpretability of natural image distributions using generative models Ryen Krusinga Sohil Shah Matthias Zwicker Tom Goldstein David Jacobs DiffM FAtt GAN 21 11 0 06 Jan 2019
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 13 482 0 14 Aug 2018
Is Generator Conditioning Causally Related to GAN Performance? Augustus Odena Jacob Buckman Catherine Olsson Tom B. Brown C. Olah Colin Raffel Ian Goodfellow AI4CE 14 112 0 23 Feb 2018
Continuous-Time Flows for Efficient Inference and Density Estimation Changyou Chen Chunyuan Li Liquan Chen Wenlin Wang Yunchen Pu Lawrence Carin TPM 32 57 0 04 Sep 2017