MMD GAN: Towards Deeper Understanding of Moment Matching Network

24 May 2017

Chun-Liang Li

Papers citing "MMD GAN: Towards Deeper Understanding of Moment Matching Network"

50 / 157 papers shown

Title
Fair Representation Learning for Continuous Sensitive Attributes using Expectation of Integral Probability Metrics Insung Kong Kunwoong Kim Yongdai Kim FaML 32 1 0 09 May 2025
Boosting Statistic Learning with Synthetic Data from Pretrained Large Models Jialong Jiang Wenkang Hu Jian Huang Yuling Jiao Xu Liu DiffM 50 0 0 08 May 2025
ReLU integral probability metric and its applications Yuha Park Kunwoong Kim Insung Kong Yongdai Kim 48 0 0 26 Apr 2025
MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection Lin Yuan Xuelong Li Yan Zhang Jiawei Zhang Hongbo Li Xinbo Gao 38 0 0 18 Apr 2025
PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models Kyeongkook Seo Dong-Jun Han Jaejun Yoo 45 0 0 11 Mar 2025
Forensics Adapter: Adapting CLIP for Generalizable Face Forgery Detection Xinjie Cui Yuan Li Ao Luo Jiaran Zhou Junyu Dong 131 4 0 29 Nov 2024
Learning Deep Kernels for Non-Parametric Independence Testing Nathaniel Xu Feng Liu Danica J. Sutherland BDL 34 0 0 10 Sep 2024
Improving Synthetic Image Detection Towards Generalization: An Image Transformation Perspective Ouxiang Li Jiayin Cai Y. Hao Xiaolong Jiang Yao Hu Fuli Feng AAML 35 8 0 13 Aug 2024
Submodular Framework for Structured-Sparse Optimal Transport Piyushi Manupriya Pratik Jawanpuria Karthik S. Gurumoorthy SakethaNath Jagarlapudi Bamdev Mishra OT 97 0 0 07 Jun 2024
Deep MMD Gradient Flow without adversarial training Alexandre Galashov Valentin De Bortoli Arthur Gretton DiffM 40 8 0 10 May 2024
DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems Yair Schiff Zhong Yi Wan Jeffrey B. Parker Stephan Hoyer Volodymyr Kuleshov Fei Sha Leonardo Zepeda-Núñez 36 13 0 06 Feb 2024
Image Synthesis with Graph Conditioning: CLIP-Guided Diffusion Models for Scene Graphs Rameshwar Mishra A. V. Subramanyam DiffM 30 2 0 25 Jan 2024
Efficient Numerical Integration in Reproducing Kernel Hilbert Spaces via Leverage Scores Sampling Antoine Chatalic Nicolas Schreuder Ernesto De Vito Lorenzo Rosasco 27 3 0 22 Nov 2023
Matching aggregate posteriors in the variational autoencoder Surojit Saha Sarang Joshi Ross T. Whitaker DRL 37 4 0 13 Nov 2023
Domain Generalisation via Risk Distribution Matching Toan Nguyen Kien Do Bao Duong T. Nguyen OOD 39 4 0 28 Oct 2023
Bayesian Domain Invariant Learning via Posterior Generalization of Parameter Distributions Shiyu Shen Bin Pan Tianyang Shi Tao Li Zhenwei Shi BDL OOD 37 1 0 25 Oct 2023
Increasing Entropy to Boost Policy Gradient Performance on Personalization Tasks Andrew Starnes Anton Dereventsov Clayton Webster 24 0 0 09 Oct 2023
Stability Analysis Framework for Particle-based Distance GANs with Wasserstein Gradient Flow Chuqi Chen Yue Wu Yang Xiang GAN 17 0 0 04 Jul 2023
Data Interpolants -- That's What Discriminators in Higher-order Gradient-regularized GANs Are Siddarth Asokan C. Seelamantula 32 4 0 01 Jun 2023
The Representation Jensen-Shannon Divergence J. Hoyos-Osorio Santiago Posso-Murillo L. S. Giraldo 40 6 0 25 May 2023
PCF-GAN: generating sequential data via the characteristic function of measures on the path space Hang Lou Siran Li Hao Ni AI4TS 46 10 0 21 May 2023
Local Convergence of Gradient Descent-Ascent for Training Generative Adversarial Networks Evan Becker Parthe Pandit S. Rangan A. Fletcher GAN 26 1 0 14 May 2023
A Semi-Bayesian Nonparametric Estimator of the Maximum Mean Discrepancy Measure: Applications in Goodness-of-Fit Testing and Generative Adversarial Networks Forough Fazeli Asl M. Zhang Lizhen Lin 29 1 0 05 Mar 2023
Differentially Private Neural Tangent Kernels for Privacy-Preserving Data Generation Yilin Yang Kamil Adamczewski Danica J. Sutherland Xiaoxiao Li Mijung Park 33 14 0 03 Mar 2023
Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets Hussein Hazimeh Natalia Ponomareva GAN 33 2 0 31 Jan 2023
Constrained Policy Optimization with Explicit Behavior Density for Offline Reinforcement Learning Jing Zhang Chi Zhang Wenjia Wang Bing-Yi Jing OffRL 35 7 0 28 Jan 2023
Optimally-Weighted Estimators of the Maximum Mean Discrepancy for Likelihood-Free Inference Ayush Bharti Masha Naslidnyk Oscar Key Samuel Kaski F. Briol 42 12 0 27 Jan 2023
Fast Inference in Denoising Diffusion Models via MMD Finetuning Emanuele Aiello D. Valsesia E. Magli DiffM 22 4 0 19 Jan 2023
Can We Find Strong Lottery Tickets in Generative Models? Sangyeop Yeo Yoojin Jang Jy-yong Sohn Dongyoon Han Jaejun Yoo 20 6 0 16 Dec 2022
Effective Dynamics of Generative Adversarial Networks S. Durr Youssef Mroueh Yuhai Tu Shenshen Wang GAN 38 4 0 08 Dec 2022
DigGAN: Discriminator gradIent Gap Regularization for GAN Training with Limited Data Tiantian Fang Ruoyu Sun A. Schwing GAN 30 16 0 27 Nov 2022
Learning Compact Features via In-Training Representation Alignment X. Li Xiangrui Li Deng Pan Yao Qiang D. Zhu OOD 8 3 0 23 Nov 2022
Unbalanced Optimal Transport, from Theory to Numerics Thibault Séjourné Gabriel Peyré Franccois-Xavier Vialard OT 30 48 0 16 Nov 2022
MMD-B-Fair: Learning Fair Representations with Statistical Testing Namrata Deka Danica J. Sutherland 20 7 0 15 Nov 2022
Camera Alignment and Weighted Contrastive Learning for Domain Adaptation in Video Person ReID Djebril Mekhazni Maximilien Dufau Christian Desrosiers M. Pedersoli Eric Granger 44 8 0 07 Nov 2022
Minimum Kernel Discrepancy Estimators Chris J. Oates 32 10 0 28 Oct 2022
Anisotropic multiresolution analyses for deepfake detection Wei Huang Michelangelo Valsecchi Michael Multerer AAML 26 5 0 26 Oct 2022
Deep Semantic Statistics Matching (D2SM) Denoising Network Kangfu Mei Vishal M. Patel Rui Huang DiffM 21 8 0 19 Jul 2022
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts Haotao Wang Junyuan Hong Jiayu Zhou Zhangyang Wang OOD 60 11 0 04 Jul 2022
On making optimal transport robust to all outliers Kilian Fatras OT 24 0 0 23 Jun 2022
Functional Ensemble Distillation Coby Penso Idan Achituve Ethan Fetaya FedML 37 2 0 05 Jun 2022
RCC-GAN: Regularized Compound Conditional GAN for Large-Scale Tabular Data Synthesis Mohammad Esmaeilpour Nourhene Chaalia Adel Abusitta François-Xavier Devailly Wissem Maazoun P. Cardinal GAN 25 2 0 24 May 2022
Conditional Born machine for Monte Carlo event generation Oriel Kiss Michele Grossi E. Kajomovitz S. Vallecorsa 41 14 0 16 May 2022
Synthetic Data -- what, why and how? James Jordon Lukasz Szpruch F. Houssiau M. Bottarelli Giovanni Cherubin Carsten Maple Samuel N. Cohen Adrian Weller 48 109 0 06 May 2022
Heterogeneous Domain Adaptation with Adversarial Neural Representation Learning: Experiments on E-Commerce and Cybersecurity Mohammadreza Ebrahimi Yidong Chai Hao Helen Zhang Hsinchun Chen 16 9 0 05 May 2022
PI-VAE: Physics-Informed Variational Auto-Encoder for stochastic differential equations Weiheng Zhong Hadi Meidani DRL 30 37 0 21 Mar 2022
Geometric Methods for Sampling, Optimisation, Inference and Adaptive Agents Alessandro Barp Lancelot Da Costa G. Francca Karl J. Friston Mark Girolami Michael I. Jordan G. Pavliotis 36 25 0 20 Mar 2022
Rates of convergence for nonparametric estimation of singular distributions using generative adversarial networks Minwoo Chae GAN 32 4 0 07 Feb 2022
Depth and Feature Learning are Provably Beneficial for Neural Network Discriminators Carles Domingo-Enrich MLT MDE 31 0 0 27 Dec 2021
Manifold Learning Benefits GANs Yao Ni Piotr Koniusz Richard I. Hartley Richard Nock GAN 31 16 0 23 Dec 2021