v1v2v3v4v5 (latest)

Generalization and Equilibrium in Generative Adversarial Nets (GANs)

2 March 2017

Papers citing "Generalization and Equilibrium in Generative Adversarial Nets (GANs)"

50 / 246 papers shown

Title
Generalization in VAE and Diffusion Models: A Unified Information-Theoretic Analysis Qi Chen Jierui Zhu Florian Shkurti DiffM 72 1 0 01 Jun 2025
On Generalization and Distributional Update for Mimicking Observations with Adequate Exploration Yirui Zhou Xiaowei Liu Xiaofeng Zhang Yangchun Zhang 116 0 0 22 Jan 2025
Stability and Generalization in Free Adversarial Training Xiwei Cheng Kexin Fu Farzan Farnia AAML 86 3 0 08 Jan 2025
MGMD-GAN: Generalization Improvement of Generative Adversarial Networks with Multiple Generator Multiple Discriminator Framework Against Membership Inference Attacks Nirob Arefin AI4CE 51 0 0 10 Oct 2024
FedLED: Label-Free Equipment Fault Diagnosis with Vertical Federated Transfer Learning Jie Shen Shusen Yang Cong Zhao Xuebin Ren Peng Zhao Yuqian Yang Qing Han Shuaijun Wu FedML 60 10 0 29 Dec 2023
Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution Elen Vardanyan Sona Hunanyan T. Galstyan A. Minasyan A. Dalalyan 121 2 0 31 Jul 2023
Quantum Neural Estimation of Entropies Ziv Goldfeld Dhrumil Patel Sreejith Sreekumar Mark M. Wilde 98 9 0 03 Jul 2023
Penalty Gradient Normalization for Generative Adversarial Networks Tian Xia GAN 64 1 0 23 Jun 2023
A Theory of Unsupervised Speech Recognition Liming Wang M. Hasegawa-Johnson Chang D. Yoo SSL 57 2 0 09 Jun 2023
EMEF: Ensemble Multi-Exposure Image Fusion Renshuai Liu Chengyang Li Haitao Cao Yinglin Zheng Ming Zeng Xuan Cheng 51 4 0 22 May 2023
Statistical Guarantees of Group-Invariant GANs Ziyu Chen Markos A. Katsoulakis Luc Rey-Bellet Wei-wei Zhu 259 2 0 22 May 2023
IoTFlowGenerator: Crafting Synthetic IoT Device Traffic Flows for Cyber Deception Joseph Bao Murat Kantarcioglu Yevgeniy Vorobeychik Charles A. Kamhoua 46 1 0 01 May 2023
Beyond Privacy: Navigating the Opportunities and Challenges of Synthetic Data B. V. Breugel M. Schaar 67 31 0 07 Apr 2023
PAPAL: A Provable PArticle-based Primal-Dual ALgorithm for Mixed Nash Equilibrium Shihong Ding Hanze Dong Cong Fang Zhouchen Lin Tong Zhang 76 1 0 02 Mar 2023
PAC-Bayesian Generalization Bounds for Adversarial Generative Models S. Mbacke Florence Clerc Pascal Germain 106 9 0 17 Feb 2023
Class Overwhelms: Mutual Conditional Blended-Target Domain Adaptation P. Xu Boyu Wang Charles Ling 91 6 0 03 Feb 2023
Discriminative Radial Domain Adaptation Zenan Huang Jun Wen Siheng Chen Linchao Zhu Nenggan Zheng OOD 116 14 0 01 Jan 2023
Distribution Estimation of Contaminated Data via DNN-based MoM-GANs Fang Xie Lihu Xu Qiuran Yao Huiming Zhang 55 0 0 28 Dec 2022
Knowledge-Guided Data-Centric AI in Healthcare: Progress, Shortcomings, and Future Directions Edward Y. Chang MedIm 54 7 0 27 Dec 2022
A Mathematical Framework for Learning Probability Distributions Hongkang Yang 113 7 0 22 Dec 2022
Statistical treatment of convolutional neural network super-resolution of inland surface wind for subgrid-scale variability quantification Daniel J. Getter J. Bessac J. Rudi Yan Feng 76 0 0 30 Nov 2022
Deep Neural Networks as the Semi-classical Limit of Topological Quantum Neural Networks: The problem of generalisation A. Marcianò De-Wei Chen Filippo Fabrocini C. Fields M. Lulli Emanuele Zappala GNN 47 5 0 25 Oct 2022
Quantifying Quality of Class-Conditional Generative Models in Time-Series Domain Alireza Koochali Maria Walch Sankrutyayan Thota P. Schichtel Andreas Dengel Sheraz Ahmed EGVM 62 3 0 14 Oct 2022
Generalised Mutual Information for Discriminative Clustering Louis Ohl Pierre-Alexandre Mattei C. Bouveyron Warith Harchaoui Mickael Leclercq Arnaud Droit F. Precioso 58 6 0 12 Oct 2022
Dissecting adaptive methods in GANs Samy Jelassi David Dobre A. Mensch Yuanzhi Li Gauthier Gidel 48 4 0 09 Oct 2022
MaxMatch: Semi-Supervised Learning with Worst-Case Consistency Yangbangyan Jiang Xiaodan Li Xiaodan Li YueFeng Chen Yuan He Qianqian Xu Zhiyong Yang Xiaochun Cao Qingming Huang 85 19 0 26 Sep 2022
Asymptotic Statistical Analysis of $f$ -divergence GAN Xinwei Shen Kani Chen Tong Zhang 62 2 0 14 Sep 2022
Verifying the Union of Manifolds Hypothesis for Image Data Bradley Brown M. Volkovs Brendan Leigh Ross Jesse C. Cresswell Gabriel Loaiza-Ganem 139 43 0 06 Jul 2022
On the Role of Generalization in Transferability of Adversarial Examples Yilin Wang Farzan Farnia AAML 83 11 0 18 Jun 2022
What is a Good Metric to Study Generalization of Minimax Learners? Asuman Ozdaglar S. Pattathil Jiawei Zhang Jianchao Tan 79 14 0 09 Jun 2022
A Communication-efficient Algorithm with Linear Convergence for Federated Minimax Learning Zhenyu Sun Ermin Wei FedML 117 14 0 02 Jun 2022
Transferable Reward Learning by Dynamics-Agnostic Discriminator Ensemble Fan Luo Xingchen Cao Rong-Jun Qin Yang Yu 108 3 0 01 Jun 2022
$α$ -GAN: Convergence and Estimation Guarantees Gowtham R. Kurri Monica Welfert Tyler Sypherd Lalitha Sankar GAN 112 10 0 12 May 2022
Power of Quantum Generative Learning Yuxuan Du Zhuozhuo Tu Bujiao Wu Xiao Yuan Dacheng Tao AI4CE 87 8 0 10 May 2022
Diagnosing and Fixing Manifold Overfitting in Deep Generative Models Gabriel Loaiza-Ganem Brendan Leigh Ross Jesse C. Cresswell M. Volkovs GAN DRL 113 31 0 14 Apr 2022
A review of Generative Adversarial Networks for Electronic Health Records: applications, evaluation measures and data sources Ghadeer O. Ghosheh Jin Li T. Zhu 97 42 0 14 Mar 2022
Multi-Source Unsupervised Domain Adaptation via Pseudo Target Domain Chuan-Xian Ren Yong-Jin Liu Xiwen Zhang Ke-Kun Huang AAML OOD 66 93 0 22 Feb 2022
Provably convergent quasistatic dynamics for mean-field two-player zero-sum games Chao Ma Lexing Ying MLT 73 11 0 15 Feb 2022
Minimax Optimality (Probably) Doesn't Imply Distribution Learning for GANs Sitan Chen Jungshian Li Yuanzhi Li Raghu Meka GAN 76 5 0 18 Jan 2022
Transferability in Deep Learning: A Survey Junguang Jiang Yang Shu Jianmin Wang Mingsheng Long OOD 93 105 0 15 Jan 2022
Variational Wasserstein gradient flow JiaoJiao Fan Qinsheng Zhang Amirhossein Taghvaei Yongxin Chen 167 57 0 04 Dec 2021
On Predicting Generalization using GANs Yi Zhang Arushi Gupta Nikunj Saunshi Sanjeev Arora AI4CE 172 6 0 28 Nov 2021
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley GAN 111 12 0 26 Nov 2021
Property Inference Attacks Against GANs Junhao Zhou Yufei Chen Chao Shen Yang Zhang AAML MIACV 112 55 0 15 Nov 2021
Outlier-Robust Optimal Transport: Duality, Structure, and Statistical Analysis Sloan Nietert Rachel Cummings Ziv Goldfeld OT 100 28 0 02 Nov 2021
Training Wasserstein GANs without gradient penalties Dohyun Kwon Yeoneung Kim Guido Montúfar Insoon Yang GAN 52 4 0 27 Oct 2021
Reversible Gromov-Monge Sampler for Simulation-Based Inference Y. Hur Wenxuan Guo Tengyuan Liang 94 9 0 28 Sep 2021
Inferential Wasserstein Generative Adversarial Networks Yao Chen Qingyi Gao Xiao Wang GAN 186 23 0 13 Sep 2021
Wasserstein Generative Adversarial Uncertainty Quantification in Physics-Informed Neural Networks Yihang Gao Michael K. Ng 80 30 0 30 Aug 2021
MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction Patrick Dendorfer Sven Elflein Laura Leal-Taixé 62 100 0 20 Aug 2021