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Adversarial Autoencoders

18 November 2015

Papers citing "Adversarial Autoencoders"

31 / 31 papers shown

Title
Likelihood-Free Variational Autoencoders Chen Xu Qiang Wang Lijun Sun DiffM DRL 181 0 0 24 Apr 2025
EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling Theodoros Kouzelis Ioannis Kakogeorgiou Spyros Gidaris N. Komodakis DRL 245 8 0 17 Feb 2025
A Revisit of Total Correlation in Disentangled Variational Auto-Encoder with Partial Disentanglement Chengrui Li Yunmiao Wang Yule Wang Weihan Li Dieter Jaeger Anqi Wu CoGe DRL 120 1 0 04 Feb 2025
Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax I. Butakov Alexander Sememenko Alexander Tolmachev Andrey Gladkov Marina Munkhoeva Alexey Frolov 138 1 0 09 Oct 2024
SoftCVI: Contrastive variational inference with self-generated soft labels Daniel Ward Mark Beaumont Matteo Fasiolo BDL 199 1 0 22 Jul 2024
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference Benjamin Eysenbach Vivek Myers Ruslan Salakhutdinov Sergey Levine AI4TS 112 12 0 06 Mar 2024
Demystifying Variational Diffusion Models Fabio De Sousa Ribeiro Ben Glocker DiffM 63 0 0 11 Jan 2024
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors Wasu Top Piriyakulkij Yingheng Wang Volodymyr Kuleshov DiffM 86 1 0 05 Jan 2024
Auto-Encoding Goodness of Fit A. Palmer Zhiyi Chi Derek Aguiar J. Bi 85 1 0 12 Oct 2022
Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction Jun Chen Ming Hu Boyang Albert Li Mohamed Elhoseiny 130 37 0 01 Jun 2022
LatentGAN Autoencoder: Learning Disentangled Latent Distribution Sanket Kalwar Animikh Aich Tanay Dixit Adit Chhabra DRL 66 0 0 05 Apr 2022
AI Discovering a Coordinate System of Chemical Elements: Dual Representation by Variational Autoencoders A. Glushkovsky DRL 84 6 0 24 Nov 2020
Generative chemistry: drug discovery with deep learning generative models Yuemin Bian X. Xie AI4CE 106 95 0 20 Aug 2020
From optimal transport to generative modeling: the VEGAN cookbook Olivier Bousquet Sylvain Gelly Ilya O. Tolstikhin Carl-Johann Simon-Gabriel B. Schoelkopf OT 93 147 0 22 May 2017
Classical Planning in Deep Latent Space: Bridging the Subsymbolic-Symbolic Boundary Masataro Asai A. Fukunaga 138 172 0 29 Apr 2017
Variational Inference using Implicit Distributions Ferenc Huszár DRL GAN 160 135 0 27 Feb 2017
On orthogonality and learning recurrent networks with long term dependencies Eugene Vorontsov C. Trabelsi Samuel Kadoury C. Pal ODL 84 241 0 31 Jan 2017
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks L. Mescheder Sebastian Nowozin Andreas Geiger GAN BDL 121 529 0 17 Jan 2017
Auxiliary Deep Generative Models Lars Maaløe C. Sønderby Søren Kaae Sønderby Ole Winther DRL GAN 75 451 0 17 Feb 2016
Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks Jost Tobias Springenberg GAN 85 745 0 19 Nov 2015
A note on the evaluation of generative models Lucas Theis Aaron van den Oord Matthias Bethge EGVM 131 1,146 0 05 Nov 2015
Importance Weighted Autoencoders Yuri Burda Roger C. Grosse Ruslan Salakhutdinov BDL 276 1,245 0 01 Sep 2015
Semi-Supervised Learning with Ladder Networks Antti Rasmus Harri Valpola Mikko Honkala Mathias Berglund T. Raiko SSL 96 1,372 0 09 Jul 2015
Distributional Smoothing with Virtual Adversarial Training Takeru Miyato S. Maeda Masanori Koyama Ken Nakae S. Ishii 91 458 0 02 Jul 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 463 43,328 0 11 Feb 2015
Generative Moment Matching Networks Yujia Li Kevin Swersky R. Zemel OOD GAN 110 847 0 10 Feb 2015
Discovering Hidden Factors of Variation in Deep Networks Brian Cheung J. Livezey Arjun K. Bansal Bruno A. Olshausen DRL 87 193 0 20 Dec 2014
Semi-Supervised Learning with Deep Generative Models Diederik P. Kingma Danilo Jimenez Rezende S. Mohamed Max Welling GAN SSL BDL 88 2,742 0 20 Jun 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 452 16,923 0 20 Dec 2013
Deep Generative Stochastic Networks Trainable by Backprop Yoshua Bengio Eric Thibodeau-Laufer Guillaume Alain J. Yosinski BDL 131 396 0 05 Jun 2013
Better Mixing via Deep Representations Yoshua Bengio Grégoire Mesnil Yann N. Dauphin Salah Rifai 81 341 0 18 Jul 2012