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

9 October 2018

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

5 / 5 papers shown

Title
Extracting Training Data from Diffusion Models Nicholas Carlini Jamie Hayes Milad Nasr Matthew Jagielski Vikash Sehwag Florian Tramèr Borja Balle Daphne Ippolito Eric Wallace DiffM 63 569 0 30 Jan 2023
Symmetric Wasserstein Autoencoders S. Sun Hong Guo DiffM GAN 18 0 0 24 Jun 2021
Prescribed Generative Adversarial Networks Adji Bousso Dieng Francisco J. R. Ruiz David M. Blei Michalis K. Titsias GAN DRL 19 61 0 09 Oct 2019
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
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 230 2,545 0 25 Jan 2016