A Convenient Infinite Dimensional Framework for Generative Adversarial
Learning

A Convenient Infinite Dimensional Framework for Generative Adversarial Learning

24 November 2020

Hanno Gottschalk

Marieke Lippert

Matthias Rottmann

Papers citing "A Convenient Infinite Dimensional Framework for Generative Adversarial Learning"

17 / 17 papers shown

Title
$Beyond $\mathcal{H}$-Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence$ Beyond $\mathcal{H}$ -Divergence: Domain Adaptation Theory With Jensen-Shannon Divergence Changjian Shui Qi Chen Jun Wen Fan Zhou Christian Gagné Boyu Wang 57 22 0 30 Jul 2020
Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators Takeshi Teshima Isao Ishikawa Koichi Tojo Kenta Oono Masahiro Ikeda Masashi Sugiyama 39 110 0 20 Jun 2020
Distribution Approximation and Statistical Estimation Guarantees of Generative Adversarial Networks Minshuo Chen Wenjing Liao H. Zha Tuo Zhao 43 15 0 10 Feb 2020
An Introduction to Variational Autoencoders Diederik P. Kingma Max Welling BDL SSL DRL 63 2,322 0 06 Jun 2019
Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses Ananya Uppal Shashank Singh Barnabás Póczós 45 52 0 09 Feb 2019
Large Scale GAN Training for High Fidelity Natural Image Synthesis Andrew Brock Jeff Donahue Karen Simonyan 213 5,363 0 28 Sep 2018
Equivalence of approximation by convolutional neural networks and fully-connected networks P. Petersen Felix Voigtländer 43 78 0 04 Sep 2018
Nonparametric Density Estimation under Adversarial Losses Shashank Singh Ananya Uppal Boyue Li Chun-Liang Li Manzil Zaheer Barnabás Póczós GAN 54 56 0 22 May 2018
Universal approximations of invariant maps by neural networks Dmitry Yarotsky 60 210 0 26 Apr 2018
Some Theoretical Properties of GANs Gérard Biau B. Cadre Maxime Sangnier Ugo Tanielian GAN 32 51 0 21 Mar 2018
Optimal approximation of piecewise smooth functions using deep ReLU neural networks P. Petersen Felix Voigtländer 152 472 0 15 Sep 2017
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks Jun-Yan Zhu Taesung Park Phillip Isola Alexei A. Efros GAN 89 5,556 0 30 Mar 2017
Error bounds for approximations with deep ReLU networks Dmitry Yarotsky 128 1,226 0 03 Oct 2016
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network C. Ledig Lucas Theis Ferenc Huszár Jose Caballero Andrew Cunningham ... Andrew P. Aitken Alykhan Tejani J. Totz Zehan Wang Wenzhe Shi GAN 229 10,646 0 15 Sep 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
NICE: Non-linear Independent Components Estimation Laurent Dinh David M. Krueger Yoshua Bengio DRL BDL 91 2,246 0 30 Oct 2014
Generative Adversarial Networks Ian Goodfellow Jean Pouget-Abadie M. Berk Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville Yoshua Bengio GAN 124 2,191 0 10 Jun 2014