Learning in Implicit Generative Models

11 October 2016

Papers citing "Learning in Implicit Generative Models"

34 / 34 papers shown

Title
Proper scoring rules for estimation and forecast evaluation Kartik Waghmare Johanna Ziegel AI4TS 127 0 0 02 Apr 2025
Diffusion Models in Recommendation Systems: A Survey Ting-Ruen Wei Yi Fang 129 2 0 20 Feb 2025
Misspecification-robust likelihood-free inference in high dimensions Owen Thomas Raquel Sá-Leao H. Lencastre Samuel Kaski J. Corander Henri Pesonen 141 9 0 17 Feb 2025
Binary Losses for Density Ratio Estimation Werner Zellinger 86 0 0 28 Jan 2025
Your copula is a classifier in disguise: classification-based copula density estimation David Huk Mark Steel Ritabrata Dutta 116 0 0 05 Nov 2024
Learning Latent Graph Structures and their Uncertainty A. Manenti Daniele Zambon Cesare Alippi BDL 90 1 0 30 May 2024
Diffusion Bridge Implicit Models Kaiwen Zheng Guande He Jianfei Chen Fan Bao Jun Zhu DiffM 103 15 0 24 May 2024
Variational Inference using Implicit Distributions Ferenc Huszár DRL GAN 95 135 0 27 Feb 2017
Wasserstein GAN Martín Arjovsky Soumith Chintala Léon Bottou GAN 131 4,817 0 26 Jan 2017
Towards Principled Methods for Training Generative Adversarial Networks Martín Arjovsky M. Nault GAN 74 2,102 0 17 Jan 2017
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks L. Mescheder Sebastian Nowozin Andreas Geiger GAN BDL 86 528 0 17 Jan 2017
Adversarial Message Passing For Graphical Models Theofanis Karaletsos GAN 41 29 0 15 Dec 2016
Improved generator objectives for GANs Ben Poole Alexander A. Alemi Jascha Narain Sohl-Dickstein A. Angelova 37 70 0 08 Dec 2016
Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy Danica J. Sutherland H. Tung Heiko Strathmann Soumyajit De Aaditya Ramdas Alex Smola Arthur Gretton 47 258 0 14 Nov 2016
On the Quantitative Analysis of Decoder-Based Generative Models Yuhuai Wu Yuri Burda Ruslan Salakhutdinov Roger C. Grosse GAN 69 223 0 14 Nov 2016
Revisiting Classifier Two-Sample Tests David Lopez-Paz Maxime Oquab 95 397 0 20 Oct 2016
Amortised MAP Inference for Image Super-resolution C. Sønderby Jose Caballero Lucas Theis Wenzhe Shi Ferenc Huszár 70 435 0 14 Oct 2016
Generative Adversarial Nets from a Density Ratio Estimation Perspective Masatoshi Uehara Issei Sato Masahiro Suzuki Kotaro Nakayama Y. Matsuo GAN 60 104 0 10 Oct 2016
Task Specific Adversarial Cost Function Antonia Creswell Anil A. Bharath AAML GAN 60 13 0 27 Sep 2016
Energy-based Generative Adversarial Network Jiaqi Zhao Michaël Mathieu Yann LeCun GAN 118 1,112 0 11 Sep 2016
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 358 8,999 0 10 Jun 2016
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization Sebastian Nowozin Botond Cseke Ryota Tomioka GAN 86 1,648 0 02 Jun 2016
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Alec Radford Luke Metz Soumith Chintala GAN OOD 226 13,968 0 19 Nov 2015
How (not) to Train your Generative Model: Scheduled Sampling, Likelihood, Adversary? Ferenc Huszár OOD DiffM GAN 43 296 0 16 Nov 2015
A note on the evaluation of generative models Lucas Theis Aaron van den Oord Matthias Bethge EGVM 61 1,139 0 05 Nov 2015
Learning with a Wasserstein Loss Charlie Frogner Chiyuan Zhang H. Mobahi Mauricio Araya-Polo T. Poggio 29 598 0 17 Jun 2015
Fast Two-Sample Testing with Analytic Representations of Probability Measures Kacper P. Chwialkowski Aaditya Ramdas Dino Sejdinovic Arthur Gretton 41 154 0 15 Jun 2015
Approximating Likelihood Ratios with Calibrated Discriminative Classifiers Kyle Cranmer J. Pavez Gilles Louppe 73 223 0 06 Jun 2015
Training generative neural networks via Maximum Mean Discrepancy optimization Gintare Karolina Dziugaite Daniel M. Roy Zoubin Ghahramani GAN 71 528 0 14 May 2015
Generative Moment Matching Networks Yujia Li Kevin Swersky R. Zemel OOD GAN 88 844 0 10 Feb 2015
Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical Models Michael U. Gutmann J. Corander 100 285 0 14 Jan 2015
Density-Difference Estimation Masashi Sugiyama Takafumi Kanamori Taiji Suzuki M. C. D. Plessis Song Liu Ichiro Takeuchi OT 45 78 0 30 Jun 2012
Approximate Bayesian Computational methods Jean-Michel Marin Pierre Pudlo Christian P. Robert Robin J. Ryder 158 861 0 05 Jan 2011
Information, Divergence and Risk for Binary Experiments Mark D. Reid Robert C. Williamson 82 231 0 05 Jan 2009