Statistical guarantees for generative models without domination

Statistical guarantees for generative models without domination

19 October 2020

Nicolas Schreuder

Victor-Emmanuel Brunel

Papers citing "Statistical guarantees for generative models without domination"

11 / 11 papers shown

Title
Generative adversarial learning with optimal input dimension and its adaptive generator architecture Zhiyao Tan Ling Zhou Huazhen Lin GAN 42 0 0 06 May 2024
A Statistical Analysis of Wasserstein Autoencoders for Intrinsically Low-dimensional Data Saptarshi Chakraborty Peter L. Bartlett 44 1 0 24 Feb 2024
Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution Elen Vardanyan Sona Hunanyan T. Galstyan A. Minasyan A. Dalalyan 34 2 0 31 Jul 2023
Spider GAN: Leveraging Friendly Neighbors to Accelerate GAN Training Siddarth Asokan C. Seelamantula GAN 69 1 0 12 May 2023
MAUVE Scores for Generative Models: Theory and Practice Krishna Pillutla Lang Liu John Thickstun Sean Welleck Swabha Swayamdipta Rowan Zellers Sewoong Oh Yejin Choi Zaïd Harchaoui EGVM 35 21 0 30 Dec 2022
On PAC-Bayesian reconstruction guarantees for VAEs Badr-Eddine Chérief-Abdellatif Yuyang Shi Arnaud Doucet Benjamin Guedj DRL 45 17 0 23 Feb 2022
Rates of convergence for nonparametric estimation of singular distributions using generative adversarial networks Minwoo Chae GAN 32 4 0 07 Feb 2022
Optimal 1-Wasserstein Distance for WGANs Arthur Stéphanovitch Ugo Tanielian B. Cadre N. Klutchnikoff Gérard Biau OT GAN 20 3 0 08 Jan 2022
Intrinsic Dimension Estimation Using Wasserstein Distances Adam Block Zeyu Jia Yury Polyanskiy Alexander Rakhlin 25 21 0 08 Jun 2021
Rates of convergence for density estimation with generative adversarial networks Nikita Puchkin S. Samsonov Denis Belomestny Eric Moulines A. Naumov 24 10 0 30 Jan 2021
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 279 10,354 0 12 Dec 2018