Generative Moment Matching Networks

10 February 2015

Papers citing "Generative Moment Matching Networks"

50 / 190 papers shown

Title
Implicit Generative Copulas Tim Janke M. Ghanmi F. Steinke 35 17 0 29 Sep 2021
Reversible Gromov-Monge Sampler for Simulation-Based Inference Y. Hur Wenxuan Guo Tengyuan Liang 36 9 0 28 Sep 2021
Rethinking Multidimensional Discriminator Output for Generative Adversarial Networks M. Dai Haibin Hang A. Srivastava 18 3 0 08 Sep 2021
Self-balanced Learning For Domain Generalization Jin-Hwa Kim Jiyoung Lee Jungin Park Dongbo Min Kwanghoon Sohn OOD AI4CE 21 6 0 31 Aug 2021
SIGN: Spatial-information Incorporated Generative Network for Generalized Zero-shot Semantic Segmentation Jiaxin Cheng Soumyaroop Nandi Premkumar Natarajan Wael AbdAlmageed VLM 32 55 0 27 Aug 2021
Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet Process Fei Ye A. Bors CLL 26 18 0 25 Aug 2021
Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation Donghyeon Baek Youngmin Oh Bumsub Ham 21 77 0 14 Aug 2021
Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds Bjoern Michele Alexandre Boulch Gilles Puy Maxime Bucher Renaud Marlet 3DPC DiffM VLM 41 57 0 13 Aug 2021
A Pragmatic Look at Deep Imitation Learning Kai Arulkumaran D. Lillrank 29 9 0 04 Aug 2021
Generative adversarial networks in time series: A survey and taxonomy Eoin Brophy Zhengwei Wang Qi She Tomas E. Ward EGVM AI4TS 17 57 0 23 Jul 2021
Dual Training of Energy-Based Models with Overparametrized Shallow Neural Networks Carles Domingo-Enrich A. Bietti Marylou Gabrié Joan Bruna Eric Vanden-Eijnden FedML 38 6 0 11 Jul 2021
How many moments does MMD compare? Rustem Takhanov 21 0 0 27 Jun 2021
Discrepancy-based Inference for Intractable Generative Models using Quasi-Monte Carlo Ziang Niu J. Meier F. Briol 32 12 0 22 Jun 2021
Fitting summary statistics of neural data with a differentiable spiking network simulator G. Bellec Shuqi Wang Alireza Modirshanechi Johanni Brea W. Gerstner 34 11 0 18 Jun 2021
A Note on Optimizing Distributions using Kernel Mean Embeddings Boris Muzellec Francis R. Bach Alessandro Rudi 11 4 0 18 Jun 2021
KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint Support Pierre Glaser Michael Arbel Arthur Gretton 52 37 0 16 Jun 2021
Reproducing Kernel Hilbert Space, Mercer's Theorem, Eigenfunctions, Nyström Method, and Use of Kernels in Machine Learning: Tutorial and Survey Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley 27 35 0 15 Jun 2021
Latent Space Refinement for Deep Generative Models R. Winterhalder Marco Bellagente Benjamin Nachman BDL GAN DRL DiffM 10 27 0 01 Jun 2021
Efficient and Accurate Gradients for Neural SDEs Patrick Kidger James Foster Xuechen Li Terry Lyons DiffM 24 60 0 27 May 2021
Hidden Biases in Unreliable News Detection Datasets Xiang Zhou Heba Elfardy Christos Christodoulopoulos Thomas Butler Joey Tianyi Zhou 22 15 0 20 Apr 2021
Generative Speech Coding with Predictive Variance Regularization W. Kleijn Andrew Storus Michael Chinen Tom Denton Felicia S. C. Lim Alejandro Luebs Jan Skoglund Hengchin Yeh 26 67 0 18 Feb 2021
A Unified Joint Maximum Mean Discrepancy for Domain Adaptation Wei Wang Baopu Li Shuhui Yang Jing Sun Zhengming Ding Junyang Chen Xiao Dong Zhihui Wang Haojie Li 39 11 0 25 Jan 2021
Applications of multivariate quasi-random sampling with neural networks Marius Hofert Avinash Prasad Mu Zhu 22 1 0 15 Dec 2020
Interpretability and Explainability: A Machine Learning Zoo Mini-tour Ricards Marcinkevics Julia E. Vogt XAI 28 119 0 03 Dec 2020
Complexity Controlled Generative Adversarial Networks Himanshu Pant Jayadeva Jayadeva Sumit Soman GAN 22 1 0 20 Nov 2020
On the Convergence of Gradient Descent in GANs: MMD GAN As a Gradient Flow Youssef Mroueh Truyen V. Nguyen 29 25 0 04 Nov 2020
Rescuing neural spike train models from bad MLE Diego M. Arribas Yuan Zhao Il Memming Park 37 8 0 23 Oct 2020
Representing Point Clouds with Generative Conditional Invertible Flow Networks Michal Stypulkowski Kacper Kania M. Zamorski Maciej Ziȩba Tomasz Trzciñski J. Chorowski 3DPC 26 4 0 07 Oct 2020
GANs with Variational Entropy Regularizers: Applications in Mitigating the Mode-Collapse Issue Pirazh Khorramshahi Hossein Souri Ramalingam Chellappa S. Feizi GAN DRL 30 4 0 24 Sep 2020
Generative models with kernel distance in data space Szymon Knop Marcin Mazur Przemysław Spurek Jacek Tabor Igor T. Podolak GAN SyDa 27 11 0 15 Sep 2020
Reparameterized Variational Divergence Minimization for Stable Imitation Dilip Arumugam Debadeepta Dey Alekh Agarwal Asli Celikyilmaz E. Nouri W. Dolan 33 3 0 18 Jun 2020
Learning the Redundancy-free Features for Generalized Zero-Shot Object Recognition Zongyan Han Zhenyong Fu Jian Yang 23 86 0 16 Jun 2020
Probabilistic Autoencoder Vanessa Böhm U. Seljak UQCV BDL DRL 24 32 0 09 Jun 2020
Universal Robust Regression via Maximum Mean Discrepancy Pierre Alquier Mathieu Gerber 38 15 0 01 Jun 2020
Deep Divergence Learning Kubra Cilingir Rachel Manzelli Brian Kulis 6 13 0 06 May 2020
Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future Directions Divya Saxena Jiannong Cao AAML AI4CE 26 286 0 30 Apr 2020
Zero-Shot Learning and its Applications from Autonomous Vehicles to COVID-19 Diagnosis: A Review Mahdi Rezaei Mahsa Shahidi 29 53 0 29 Apr 2020
An explainability study of the constant Q cepstral coefficient spoofing countermeasure for automatic speaker verification Hemlata Tak J. Patino A. Nautsch Nicholas W. D. Evans Massimiliano Todisco 14 46 0 14 Apr 2020
Deep Residual Correction Network for Partial Domain Adaptation Shuang Li Chi Harold Liu Qiuxia Lin Qi Wen Limin Su Gao Huang Zhengming Ding 19 145 0 10 Apr 2020
OpenGAN: Open Set Generative Adversarial Networks Luke Ditria Benjamin J. Meyer Tom Drummond VLM AI4CE GAN 41 20 0 18 Mar 2020
Multivariate time-series modeling with generative neural networks Marius Hofert Avinash Prasad Mu Zhu 8 6 0 25 Feb 2020
Smoothness and Stability in GANs Casey Chu Kentaro Minami Kenji Fukumizu GAN 24 56 0 11 Feb 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 33 821 0 20 Jan 2020
Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits Han Guo Ramakanth Pasunuru Joey Tianyi Zhou 30 114 0 13 Jan 2020
Active Learning for Segmentation Based on Bayesian Sample Queries Firat Özdemir Z. Peng Philipp Fürnstahl C. Tanner O. Goksel 33 22 0 22 Dec 2019
Triple Generative Adversarial Networks Chongxuan Li Kun Xu Jiashuo Liu Jun Zhu Bo Zhang GAN 31 41 0 20 Dec 2019
How to GAN away Detector Effects Marco Bellagente A. Butter Gregor Kasieczka Tilman Plehn R. Winterhalder GAN 19 86 0 01 Dec 2019
Prescribed Generative Adversarial Networks Adji Bousso Dieng Francisco J. R. Ruiz David M. Blei Michalis K. Titsias GAN DRL 27 61 0 09 Oct 2019
Conditional out-of-sample generation for unpaired data using trVAE M. Lotfollahi Mohsen Naghipourfar Fabian J. Theis F. A. Wolf GAN ViT DRL 22 19 0 04 Oct 2019
Stabilizing Generative Adversarial Networks: A Survey Maciej Wiatrak Stefano V. Albrecht A. Nystrom GAN 29 84 0 30 Sep 2019