On Deep Generative Models for Approximation and Estimation of
Distributions on Manifolds

On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds

25 February 2023

Papers citing "On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds"

10 / 10 papers shown

Title
Image Interpolation with Score-based Riemannian Metrics of Diffusion Models Shinnosuke Saito Takashi Matsubara DiffM 118 1 0 28 Apr 2025
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 181 30,069 0 01 Mar 2022
A likelihood approach to nonparametric estimation of a singular distribution using deep generative models Minwoo Chae Dongha Kim Yongdai Kim Lizhen Lin 63 17 0 09 May 2021
On Computation and Generalization of GANs with Spectrum Control Haoming Jiang Zhehui Chen Minshuo Chen Feng Liu Dingding Wang T. Zhao 28 6 0 28 Dec 2018
Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network Vanessa Volz Jacob Schrum Jialin Liu Simon Lucas Adam M. Smith S. Risi GAN 86 232 0 02 May 2018
Sharp asymptotic and finite-sample rates of convergence of empirical measures in Wasserstein distance Jonathan Niles-Weed Francis R. Bach 134 417 0 01 Jul 2017
Estimating the Reach of a Manifold Eddie Aamari Jisu Kim Frédéric Chazal Bertrand Michel Alessandro Rinaldo Larry Wasserman LM-Orsay 103 104 0 12 May 2017
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network C. Ledig Lucas Theis Ferenc Huszár Jose Caballero Andrew Cunningham ... Andrew P. Aitken Alykhan Tejani J. Totz Zehan Wang Wenzhe Shi GAN 231 10,646 0 15 Sep 2016
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 393 8,999 0 10 Jun 2016
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 376 16,962 0 20 Dec 2013