v1v2v3v4 (latest)

How Well Generative Adversarial Networks Learn Distributions

Journal of machine learning research (JMLR), 2018

7 November 2018

Tengyuan Liang

GAN

ArXiv (abs)PDF HTML

Papers citing "How Well Generative Adversarial Networks Learn Distributions"

50 / 55 papers shown

Title
CINDES: Classification induced neural density estimator and simulator Dehao Dai Jianqing Fan Yihong Gu Debarghya Mukherjee DiffM CML 100 0 0 01 Oct 2025
Feature Space Topology Control via Hopkins Loss Einari Vaaras Manu Airaksinen 64 0 0 14 Sep 2025
Distribution estimation via Flow Matching with Lipschitz guarantees Lea Kunkel DiffM 85 0 0 02 Sep 2025
Half-AVAE: Adversarial-Enhanced Factorized and Structured Encoder-Free VAE for Underdetermined Independent Component Analysis Yuan-Hao Wei Yan-Jie Sun 149 1 0 08 Jun 2025
Towards provable probabilistic safety for scalable embodied AI systems Linxuan He Qing-Shan Jia Ang Li Hongyan Sang Ling Wang ... Yisen Wang Peng Wei Zhongyuan Wang Henry X. Liu Shuo Feng 185 0 0 05 Jun 2025
A Theoretical Perspective: How to Prevent Model Collapse in Self-consuming Training LoopsInternational Conference on Learning Representations (ICLR), 2025 Shi Fu Yingjie Wang Yuzhu Chen Xinmei Tian Dacheng Tao 267 7 0 26 Feb 2025
Adversarial Transform Particle Filters Chengxin Gong Wei Lin Cheng Zhang 175 0 0 10 Feb 2025
Scalable Sobolev IPM for Probability Measures on a Graph Tam Le Truyen V. Nguyen H. Hino Kenji Fukumizu 299 2 0 02 Feb 2025
Nested Annealed Training Scheme for Generative Adversarial Networks Chang Wan Ming-Hsuan Yang Minglu Li Yunliang Jiang Zhonglong Zheng GAN 295 1 0 20 Jan 2025
DNA-SE: Towards Deep Neural-Nets Assisted Semiparametric EstimationInternational Conference on Machine Learning (ICML), 2024 Qinshuo Liu Zixin Wang Xi-An Li Xinyao Ji Lei Zhang Lin Liu Zhonghua Liu 256 0 0 04 Aug 2024
Theoretical Insights into CycleGAN: Analyzing Approximation and Estimation Errors in Unpaired Data Generation Luwei Sun Dongrui Shen Han Feng 339 4 0 16 Jul 2024
Causality Pursuit from Heterogeneous Environments via Neural Adversarial Invariance LearningAnnals of Statistics (Ann. Stat.), 2024 Yihong Gu Cong Fang Peter Bühlmann Jianqing Fan OOD CML 634 4 0 07 May 2024
Minimax density estimation in the adversarial framework under local differential privacy Mélisande Albert Juliette Chevallier Béatrice Laurent Ousmane Sacko 132 0 0 27 Mar 2024
A Statistical Analysis of Wasserstein Autoencoders for Intrinsically Low-dimensional Data Saptarshi Chakraborty Peter L. Bartlett 113 3 0 24 Feb 2024
A Survey on Statistical Theory of Deep Learning: Approximation, Training Dynamics, and Generative ModelsAnnual Review of Statistics and Its Application (ARSIA), 2024 Namjoon Suh Guang Cheng MedIm 265 17 0 14 Jan 2024
Sample Complexity Bounds for Estimating Probability Divergences under InvariancesInternational Conference on Machine Learning (ICML), 2023 B. Tahmasebi Stefanie Jegelka 246 8 0 06 Nov 2023
Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical DistributionInternational Conference on Machine Learning (ICML), 2023 Elen Vardanyan Sona Hunanyan T. Galstyan A. Minasyan A. Dalalyan 274 2 0 31 Jul 2023
Complexity Matters: Rethinking the Latent Space for Generative ModelingNeural Information Processing Systems (NeurIPS), 2023 Tianyang Hu Fei Chen Hong Wang Jiawei Li Wei Cao Jiacheng Sun Hao Sun DiffM 272 17 0 17 Jul 2023
Insights into Closed-form IPM-GAN Discriminator Guidance for Diffusion Modeling Aadithya Srikanth Siddarth Asokan Nishanth Shetty C. Seelamantula 246 0 0 02 Jun 2023
Toward Understanding Generative Data AugmentationNeural Information Processing Systems (NeurIPS), 2023 Chenyu Zheng Guoqiang Wu Chongxuan Li 170 40 0 27 May 2023
Statistical Guarantees of Group-Invariant GANs Ziyu Chen Markos A. Katsoulakis Luc Rey-Bellet Wei-wei Zhu 508 4 0 22 May 2023
Utility Theory of Synthetic Data Generation Shi Xu W. Sun Guang Cheng 449 5 0 17 May 2023
Spider GAN: Leveraging Friendly Neighbors to Accelerate GAN TrainingComputer Vision and Pattern Recognition (CVPR), 2023 Aadithya Srikanth C. Seelamantula GAN 309 3 0 12 May 2023
Minimax optimal density estimation using a shallow generative model with a one-dimensional latent variableInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 Hyeok Kyu Kwon Minwoo Chae DRL 255 3 0 11 May 2023
LD-GAN: Low-Dimensional Generative Adversarial Network for Spectral Image Generation with Variance Regularization Emmanuel Martinez Roman Jacome Alejandra Hernandez-Rojas Henry Arguello 162 7 0 29 Apr 2023
GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative ModelsNeural Information Processing Systems (NeurIPS), 2023 Zaitang Li Pin-Yu Chen Tsung-Yi Ho AAML DiffM 158 6 0 19 Apr 2023
PAC-Bayesian Generalization Bounds for Adversarial Generative ModelsInternational Conference on Machine Learning (ICML), 2023 S. Mbacke Florence Clerc Pascal Germain 292 10 0 17 Feb 2023
Constrained Policy Optimization with Explicit Behavior Density for Offline Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2023 Jing Zhang Chi Zhang Wenjia Wang Bing-Yi Jing OffRL 186 13 0 28 Jan 2023
Distribution Estimation of Contaminated Data via DNN-based MoM-GANs Fang Xie Lihu Xu Qiuran Yao Huiming Zhang 136 0 0 28 Dec 2022
Blessings and Curses of Covariate Shifts: Adversarial Learning Dynamics, Directional Convergence, and EquilibriaJournal of machine learning research (JMLR), 2022 Tengyuan Liang 356 3 0 05 Dec 2022
Asymptotic Statistical Analysis of $f$ -divergence GAN Xinwei Shen Kani Chen Tong Zhang 178 2 0 14 Sep 2022
$α$ -GAN: Convergence and Estimation GuaranteesInternational Symposium on Information Theory (ISIT), 2022 Gowtham R. Kurri Monica Welfert Tyler Sypherd Lalitha Sankar GAN 166 10 0 12 May 2022
A Manifold Two-Sample Test Study: Integral Probability Metric with Neural NetworksInformation and Inference A Journal of the IMA (JIII), 2022 Jie Wang Minshuo Chen Tuo Zhao Wenjing Liao Yao Xie 178 8 0 04 May 2022
On the Nash equilibrium of moment-matching GANs for stationary Gaussian processesMathematical and Scientific Machine Learning (MSML), 2022 Sixin Zhang GAN 230 2 0 14 Mar 2022
Online Learning to Transport via the Minimal Selection PrincipleAnnual Conference Computational Learning Theory (COLT), 2022 Wenxuan Guo Y. Hur Tengyuan Liang Christopher Ryan 140 6 0 09 Feb 2022
Rates of convergence for nonparametric estimation of singular distributions using generative adversarial networksJournal of the Korean Statistical Society (JKSS), 2022 Minwoo Chae GAN 230 5 0 07 Feb 2022
Approximation bounds for norm constrained neural networks with applications to regression and GANsApplied and Computational Harmonic Analysis (ACHA), 2022 Yuling Jiao Yang Wang Yunfei Yang 162 24 0 24 Jan 2022
Minimax Optimality (Probably) Doesn't Imply Distribution Learning for GANsInternational Conference on Learning Representations (ICLR), 2022 Sitan Chen Jungshian Li Yuanzhi Li Raghu Meka GAN 175 6 0 18 Jan 2022
Optimal 1-Wasserstein Distance for WGANsBernoulli (Bernoulli), 2022 Arthur Stéphanovitch Ugo Tanielian B. Cadre N. Klutchnikoff Gérard Biau OT GAN 107 5 0 08 Jan 2022
Non-Asymptotic Error Bounds for Bidirectional GANsNeural Information Processing Systems (NeurIPS), 2021 Shiao Liu Yunfei Yang Jian Huang Yuling Jiao Yang Wang 102 8 0 24 Oct 2021
Statistical Regeneration Guarantees of the Wasserstein Autoencoder with Latent Space ConsistencyNeural Information Processing Systems (NeurIPS), 2021 A. Chakrabarty Swagatam Das DRL 107 7 0 08 Oct 2021
Reversible Gromov-Monge Sampler for Simulation-Based Inference Y. Hur Wenxuan Guo Tengyuan Liang 207 12 0 28 Sep 2021
Wasserstein Generative Adversarial Uncertainty Quantification in Physics-Informed Neural NetworksJournal of Computational Physics (JCP), 2021 Yihang Gao Michael K. Ng 171 34 0 30 Aug 2021
Sharp Convergence Rates for Empirical Optimal Transport with Smooth Costs Tudor Manole Jonathan Niles-Weed OT 292 45 0 24 Jun 2021
Realizing GANs via a Tunable Loss FunctionInformation Theory Workshop (ITW), 2021 Gowtham R. Kurri Tyler Sypherd Lalitha Sankar GAN 143 17 0 09 Jun 2021
A likelihood approach to nonparametric estimation of a singular distribution using deep generative modelsJournal of machine learning research (JMLR), 2021 Minwoo Chae Dongha Kim Yongdai Kim Lizhen Lin 441 22 0 09 May 2021
Statistical inference for generative adversarial networks and other minimax problemsScandinavian Journal of Statistics (Scand. J. Stat.), 2021 Mika Meitz GAN 180 6 0 21 Apr 2021
Approximating Probability Distributions by using Wasserstein Generative Adversarial NetworksSIAM Journal on Mathematics of Data Science (SIMODS), 2021 Yihang Gao Michael K. Ng Mingjie Zhou GAN 303 1 0 18 Mar 2021
Rates of convergence for density estimation with generative adversarial networksJournal of machine learning research (JMLR), 2021 Nikita Puchkin S. Samsonov Denis Belomestny Eric Moulines A. Naumov 406 13 0 30 Jan 2021
On the capacity of deep generative networks for approximating distributionsNeural Networks (NN), 2021 Yunfei Yang Zhen Li Yang Wang 172 32 0 29 Jan 2021