Generative Moment Matching Networks

10 February 2015

Papers citing "Generative Moment Matching Networks"

50 / 190 papers shown

Title
MMD-Bayes: Robust Bayesian Estimation via Maximum Mean Discrepancy Badr-Eddine Chérief-Abdellatif Pierre Alquier 56 72 0 29 Sep 2019
Minimum Stein Discrepancy Estimators Alessandro Barp François‐Xavier Briol Andrew B. Duncan Mark Girolami Lester W. Mackey 33 90 0 19 Jun 2019
Statistical Inference for Generative Models with Maximum Mean Discrepancy François‐Xavier Briol Alessandro Barp Andrew B. Duncan Mark Girolami 27 70 0 13 Jun 2019
Maximum Mean Discrepancy Gradient Flow Michael Arbel Anna Korba Adil Salim Arthur Gretton 27 159 0 11 Jun 2019
Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy Zhengwei Wang Qi She T. Ward MedIm EGVM 29 90 0 04 Jun 2019
Graph Normalizing Flows Jenny Liu Aviral Kumar Jimmy Ba J. Kiros Kevin Swersky BDL GNN AI4CE 27 155 0 30 May 2019
Kernel Conditional Density Operators Ingmar Schuster Mattes Mollenhauer Stefan Klus Krikamol Muandet 24 25 0 27 May 2019
Deep Signature Transforms Patrick Kidger Patrick Kidger Imanol Perez Arribas C. Salvi Terry Lyons SLR 27 126 0 21 May 2019
Kernel Mean Matching for Content Addressability of GANs Wittawat Jitkrittum Patsorn Sangkloy Muhammad Waleed Gondal Amit Raj James Hays Bernhard Schölkopf GAN BDL 32 9 0 14 May 2019
Synthetic-Neuroscore: Using A Neuro-AI Interface for Evaluating Generative Adversarial Networks Zhengwei Wang Qi She Alan F. Smeaton T. Ward Graham Healy EGVM 21 11 0 10 May 2019
Meta-Sim: Learning to Generate Synthetic Datasets Amlan Kar Aayush Prakash Ming Liu Eric Cameracci Justin Yuan Matt Rusiniak David Acuna Antonio Torralba Sanja Fidler 22 248 0 25 Apr 2019
A Selective Overview of Deep Learning Jianqing Fan Cong Ma Yiqiao Zhong BDL VLM 38 136 0 10 Apr 2019
ASVspoof 2019: Future Horizons in Spoofed and Fake Audio Detection Massimiliano Todisco Xin Wang Ville Vestman Md. Sahidullah Héctor Delgado A. Nautsch Junichi Yamagishi Nicholas W. D. Evans Tomi Kinnunen Kong Aik Lee 27 595 0 09 Apr 2019
Learning Implicit Generative Models by Matching Perceptual Features Cicero Nogueira dos Santos Youssef Mroueh Inkit Padhi Pierre Dognin GAN 43 28 0 04 Apr 2019
High Fidelity Face Manipulation with Extreme Poses and Expressions Chaoyou Fu Yibo Hu Xiang Wu Guoli Wang Qian Zhang Ran He CVBM 32 25 0 28 Mar 2019
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning Yongqin Xian Saurabh Sharma Bernt Schiele Zeynep Akata GAN VLM 36 483 0 25 Mar 2019
Generative Moment Matching Network-based Random Modulation Post-filter for DNN-based Singing Voice Synthesis and Neural Double-tracking H. Tamaru Yuki Saito Shinnosuke Takamichi Tomoki Koriyama Hiroshi Saruwatari 14 9 0 09 Feb 2019
TF-Replicator: Distributed Machine Learning for Researchers P. Buchlovsky David Budden Dominik Grewe Chris Jones John Aslanides ... Aidan Clark Sergio Gomez Colmenarejo Aedan Pope Fabio Viola Dan Belov GNN OffRL AI4CE 37 20 0 01 Feb 2019
Deep Generative Learning via Variational Gradient Flow Yuan Gao Yuling Jiao Yang Wang Yao Wang Can Yang Shunkang Zhang 27 36 0 24 Jan 2019
Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back M. Simonovsky BDL GNN 29 1 0 24 Jan 2019
Kernel Change-point Detection with Auxiliary Deep Generative Models Wei-Cheng Chang Chun-Liang Li Yiming Yang Barnabás Póczós 16 67 0 18 Jan 2019
MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks Dan Li Dacheng Chen Lei Shi Baihong Jin Jonathan Goh See-Kiong Ng 34 763 0 15 Jan 2019
MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders Xuezhe Ma Chunting Zhou Eduard H. Hovy DRL 28 39 0 06 Jan 2019
Improving MMD-GAN Training with Repulsive Loss Function Wei Wang Yuan Sun Saman K. Halgamuge GAN 17 79 0 24 Dec 2018
Moment Matching for Multi-Source Domain Adaptation Xingchao Peng Qinxun Bai Xide Xia Zijun Huang Kate Saenko Bo Wang OOD 74 1,751 0 04 Dec 2018
Deep Knockoffs Yaniv Romano Matteo Sesia Emmanuel J. Candès BDL 18 139 0 16 Nov 2018
Use of Neural Signals to Evaluate the Quality of Generative Adversarial Network Performance in Facial Image Generation Zhengwei Wang Graham Healy Alan F. Smeaton T. Ward EGVM 39 37 0 10 Nov 2018
Interpolating between Optimal Transport and MMD using Sinkhorn Divergences Jean Feydy Thibault Séjourné François-Xavier Vialard S. Amari A. Trouvé Gabriel Peyré OT 23 520 0 18 Oct 2018
Adversarial Balancing for Causal Inference Michal Ozery-Flato Pierre Thodoroff Matan Ninio Michal Rosen-Zvi T. El-Hay CML GAN 16 25 0 17 Oct 2018
Stein Neural Sampler Tianyang Hu Zixiang Chen Hanxi Sun Jincheng Bai Mao Ye Guang Cheng SyDa GAN 22 34 0 08 Oct 2018
Learning disentangled representation from 12-lead electrograms: application in localizing the origin of Ventricular Tachycardia P. Gyawali B. Horácek J. Sapp Linwei Wang 38 3 0 04 Aug 2018
Human Motion Analysis with Deep Metric Learning Huseyin Coskun D. Tan Sailesh Conjeti Nassir Navab Federico Tombari 11 49 0 30 Jul 2018
Learning Implicit Generative Models by Teaching Explicit Ones Chao Du Kun Xu Chongxuan Li Jun Zhu Bo Zhang DRL GAN 14 9 0 10 Jul 2018
Pioneer Networks: Progressively Growing Generative Autoencoder Ari Heljakka Arno Solin Arno Solin GAN DRL 27 41 0 09 Jul 2018
Multi-task Mid-level Feature Alignment Network for Unsupervised Cross-Dataset Person Re-Identification Shan Lin Haoliang Li Chang-Tsun Li Alex C. Kot 24 188 0 04 Jul 2018
Counterfactual Mean Embeddings Krikamol Muandet Motonobu Kanagawa Sorawit Saengkyongam S. Marukatat CML OffRL 20 38 0 22 May 2018
Causal Generative Domain Adaptation Networks Biwei Huang Kun Zhang Erdun Gao Clark Glymour Dacheng Tao Kayhan Batmanghelich CML OOD TTA 30 21 0 12 Apr 2018
DIY Human Action Data Set Generation Mehran Khodabandeh Hamid Reza Vaezi Joze Ilya Zharkov V. Pradeep 21 11 0 29 Mar 2018
Learned Neural Iterative Decoding for Lossy Image Compression Systems Alexander Ororbia A. Mali Jian Wu Scott O'Connell David J. Miller C. Lee Giles 27 27 0 15 Mar 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches Md. Zahangir Alom T. Taha C. Yakopcic Stefan Westberg P. Sidike Mst Shamima Nasrin B. Van Essen A. Awwal V. Asari VLM 29 874 0 03 Mar 2018
Differentially Private Generative Adversarial Network Liyang Xie Kaixiang Lin Shu Wang Fei Wang Jiayu Zhou SyDa 19 491 0 19 Feb 2018
MONK -- Outlier-Robust Mean Embedding Estimation by Median-of-Means M. Lerasle Z. Szabó Gaspar Massiot Guillaume Lecué 34 34 0 13 Feb 2018
First Order Generative Adversarial Networks Calvin Seward Thomas Unterthiner Urs M. Bergmann Nikolay Jetchev Sepp Hochreiter GAN 40 8 0 13 Feb 2018
Demystifying MMD GANs Mikolaj Binkowski Danica J. Sutherland Michael Arbel Arthur Gretton EGVM 43 1,453 0 04 Jan 2018
How Well Can Generative Adversarial Networks Learn Densities: A Nonparametric View Tengyuan Liang GAN 21 37 0 21 Dec 2017
Geometrical Insights for Implicit Generative Modeling Léon Bottou Martín Arjovsky David Lopez-Paz Maxime Oquab 32 49 0 21 Dec 2017
Learning to Write Stylized Chinese Characters by Reading a Handful of Examples D. Sun Tongzheng Ren Chongxun Li Hang Su Jun Zhu 29 87 0 06 Dec 2017
Large-Scale Optimal Transport and Mapping Estimation Vivien Seguy B. Damodaran Rémi Flamary Nicolas Courty Antoine Rolet Mathieu Blondel OT 41 243 0 07 Nov 2017
Understanding GANs: the LQG Setting S. Feizi Changho Suh F. Xia David Tse 42 63 0 30 Oct 2017
Auto-Differentiating Linear Algebra Matthias Seeger A. Hetzel Zhenwen Dai Eric Meissner Neil D. Lawrence 17 38 0 24 Oct 2017