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On gradient regularizers for MMD GANs

29 May 2018

Papers citing "On gradient regularizers for MMD GANs"

50 / 68 papers shown

Title
Adaptive generative moment matching networks for improved learning of dependence structures Marius Hofert Gan Yao 124 0 0 29 Aug 2025
Exploring Image Generation via Mutually Exclusive Probability Spaces and Local Correlation Hypothesis Chenqiu Zhao Anup Basu 194 0 0 26 Jun 2025
Smooth Model Compression without Fine-Tuning Christina Runkel Natacha Kuete Meli Jovita Lukasik A. Biguri Carola-Bibiane Schönlieb Michael Moeller 185 0 0 30 May 2025
Stationary MMD Points for Cubature Zonghao Chen Toni Karvonen Heishiro Kanagawa F. Briol Chris J. Oates 248 1 0 27 May 2025
CKGAN: Training Generative Adversarial Networks Using Characteristic Kernel Integral Probability Metrics Kuntian Zhang Simin Yu Yaoshu Wang Makoto Onizuka Chuan Xiao GAN 227 0 0 08 Apr 2025
Optimality and Adaptivity of Deep Neural Features for Instrumental Variable RegressionInternational Conference on Learning Representations (ICLR), 2025 Juno Kim Dimitri Meunier Arthur Gretton Taiji Suzuki Zhu Li 123 2 0 10 Jan 2025
Learning Representations for Independence Testing Nathaniel Xu Yifan Zhang Danica J. Sutherland BDL 220 0 0 10 Sep 2024
Deep MMD Gradient Flow without adversarial training Alexandre Galashov Valentin De Bortoli Arthur Gretton DiffM 201 10 0 10 May 2024
Hoeffding's Inequality for Markov Chains under Generalized Concentrability Condition Hao Chen Abhishek Gupta Yin Sun Ness B. Shroff 156 2 0 04 Oct 2023
Stability Analysis Framework for Particle-based Distance GANs with Wasserstein Gradient Flow Chuqi Chen Yue Wu Yang Xiang GAN 121 0 0 04 Jul 2023
Data Interpolants -- That's What Discriminators in Higher-order Gradient-regularized GANs Are Aadithya Srikanth C. Seelamantula 160 4 0 01 Jun 2023
Differentially Private Neural Tangent Kernels for Privacy-Preserving Data Generation Yilin Yang Kamil Adamczewski Danica J. Sutherland Xiaoxiao Li Mijung Park 247 14 0 03 Mar 2023
Optimizing DDPM Sampling with Shortcut Fine-TuningInternational Conference on Machine Learning (ICML), 2023 Ying Fan Kangwook Lee 447 83 0 31 Jan 2023
Why neural networks find simple solutions: the many regularizers of geometric complexityNeural Information Processing Systems (NeurIPS), 2022 Benoit Dherin Michael Munn M. Rosca David Barrett 280 41 0 27 Sep 2022
Evaluating Graph Generative Models with Contrastively Learned FeaturesNeural Information Processing Systems (NeurIPS), 2022 Hamed Shirzad Kaveh Hassani Danica J. Sutherland 175 9 0 13 Jun 2022
Multi-level Latent Space Structuring for Generative Control Oren Katzir Vicky Perepelook Dani Lischinski Daniel Cohen-Or 259 4 0 11 Feb 2022
Variational Wasserstein gradient flowInternational Conference on Machine Learning (ICML), 2021 JiaoJiao Fan Qinsheng Zhang Amirhossein Taghvaei Yongxin Chen 284 66 0 04 Dec 2021
The Geometric Occam's Razor Implicit in Deep Learning Benoit Dherin Micheal Munn David Barrett 189 7 0 30 Nov 2021
RoMA: Robust Model Adaptation for Offline Model-based Optimization Sihyun Yu SungSoo Ahn Le Song Jinwoo Shin OffRL 219 44 0 27 Oct 2021
Two Sample Testing in High Dimension via Maximum Mean Discrepancy Hanjia Gao Xiaofeng Shao 190 16 0 30 Sep 2021
Deep Generative Learning via Schrödinger BridgeInternational Conference on Machine Learning (ICML), 2021 Gefei Wang Yuling Jiao Qiang Xu Yang Wang Can Yang DiffM OT 222 123 0 19 Jun 2021
KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint Support Pierre Glaser Michael Arbel Arthur Gretton 205 39 0 16 Jun 2021
Learning High-Dimensional Distributions with Latent Neural Fokker-Planck Kernels Jiuxiang Gu Changyou Chen Jinhui Xu 172 2 0 10 May 2021
Adversarially Robust Kernel SmoothingInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 Jia-Jie Zhu Christina Kouridi Yassine Nemmour Bernhard Schölkopf 210 8 0 16 Feb 2021
DuelGAN: A Duel Between Two Discriminators Stabilizes the GAN TrainingEuropean Conference on Computer Vision (ECCV), 2021 Jiaheng Wei Minghao Liu Jiahao Luo Andrew Zhu James Davis Yang Liu GAN 400 15 0 19 Jan 2021
Disentangled Recurrent Wasserstein AutoencoderInternational Conference on Learning Representations (ICLR), 2021 Jun Han Martin Renqiang Min Ligong Han Erran L. Li Xuan Zhang CoGe SyDa DRL 160 36 0 19 Jan 2021
A case for new neural network smoothness constraints Mihaela Rosca T. Weber Arthur Gretton S. Mohamed AAML 291 59 0 14 Dec 2020
Generative Learning With Euler Particle Transport Yuan Gao Jian Huang Yuling Jiao Jin Liu Xiliang Lu J. Yang OT 172 2 0 11 Dec 2020
On the Convergence of Gradient Descent in GANs: MMD GAN As a Gradient Flow Youssef Mroueh Truyen V. Nguyen 176 26 0 04 Nov 2020
Towards Accurate Knowledge Transfer via Target-awareness Representation DisentanglementMachine-mediated learning (ML), 2020 Xingjian Li Di Hu Xuhong Li Haoyi Xiong Zhiquan Ye Zhipeng Wang Chengzhong Xu Dejing Dou AAML 90 2 0 16 Oct 2020
Learning Manifold Implicitly via Explicit Heat-Kernel LearningNeural Information Processing Systems (NeurIPS), 2020 Jiuxiang Gu Changyou Chen Jinhui Xu 216 9 0 05 Oct 2020
Unbalanced Sobolev Descent Youssef Mroueh Mattia Rigotti 134 18 0 29 Sep 2020
Blindness of score-based methods to isolated components and mixing proportions Wenliang K. Li Heishiro Kanagawa 312 35 0 23 Aug 2020
Estimating Barycenters of Measures in High Dimensions Samuel N. Cohen Michael Arbel M. Deisenroth 306 25 0 14 Jul 2020
Sliced Kernelized Stein Discrepancy Wenbo Gong Yingzhen Li José Miguel Hernández-Lobato 236 38 0 30 Jun 2020
COT-GAN: Generating Sequential Data via Causal Optimal Transport Tianlin Xu L. Wenliang Michael Munn Beatrice Acciaio GAN CML 155 121 0 15 Jun 2020
Distributional Robustness with IPMs and links to Regularization and GANs Hisham Husain 146 22 0 08 Jun 2020
Deep Attentive Generative Adversarial Network for Photo-Realistic Image De-Quantization Yang Zhang Changhui Hu Xiaobo Lu GAN 112 1 0 07 Apr 2020
Synchronizing Probability Measures on Rotations via Optimal TransportComputer Vision and Pattern Recognition (CVPR), 2020 Tolga Birdal Michael Arbel Umut Simsekli Leonidas Guibas OT 140 31 0 01 Apr 2020
Generalized Energy Based ModelsInternational Conference on Learning Representations (ICLR), 2020 Michael Arbel Liang Zhou Arthur Gretton DRL 412 90 0 10 Mar 2020
ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICANeural Information Processing Systems (NeurIPS), 2020 Ilyes Khemakhem R. Monti Diederik P. Kingma Aapo Hyvarinen CML 304 129 0 26 Feb 2020
Amortised Learning by Wake-SleepInternational Conference on Machine Learning (ICML), 2020 W. Li Theodore H. Moskovitz Heishiro Kanagawa M. Sahani OOD 275 7 0 22 Feb 2020
Learning Deep Kernels for Non-Parametric Two-Sample TestsInternational Conference on Machine Learning (ICML), 2020 Yifan Zhang Wenkai Xu Jie Lu Guangquan Zhang Arthur Gretton Danica J. Sutherland 264 205 0 21 Feb 2020
Generalised Lipschitz Regularisation Equals Distributional RobustnessInternational Conference on Machine Learning (ICML), 2020 Zac Cranko Zhan Shi Xinhua Zhang Richard Nock Simon Kornblith OOD 159 23 0 11 Feb 2020
Smoothness and Stability in GANsInternational Conference on Learning Representations (ICLR), 2020 Casey Chu Kentaro Minami Kenji Fukumizu GAN 155 60 0 11 Feb 2020
Learning Implicit Generative Models with Theoretical Guarantees Yuan Gao Jian Huang Yuling Jiao Jin Liu 154 7 0 07 Feb 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and ApplicationsIEEE Transactions on Knowledge and Data Engineering (TKDE), 2020 Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 262 1,002 0 20 Jan 2020
On Computation and Generalization of Generative Adversarial Imitation LearningInternational Conference on Learning Representations (ICLR), 2020 Minshuo Chen Yizhou Wang Tianyi Liu Zhuoran Yang Xingguo Li Zhaoran Wang T. Zhao 245 41 0 09 Jan 2020
KernelNet: A Data-Dependent Kernel Parameterization for Deep Generative Modeling Jiuxiang Gu Changyou Chen Jinhui Xu 240 2 0 02 Dec 2019
Double cycle-consistent generative adversarial network for unsupervised conditional generationInternational Conference on Information Photonics (ICIP), 2019 Fei Ding Feng Luo Yin Yang SyDa AI4CE 108 10 0 13 Nov 2019