Adversarial Symmetric Variational Autoencoder

14 November 2017

Lawrence Carin

Papers citing "Adversarial Symmetric Variational Autoencoder"

41 / 41 papers shown

Title
Likelihood-Free Variational Autoencoders Chen Xu Qiang Wang Lijun Sun DiffM DRL 78 0 0 24 Apr 2025
Stabilizing Subject Transfer in EEG Classification with Divergence Estimation Niklas Smedemark-Margulies Ye Wang T. Koike-Akino Jing Liu K. Parsons Yunus Bicer Deniz Erdogmus 4 0 0 12 Oct 2023
Symmetric Equilibrium Learning of VAEs B. Flach D. Schlesinger Alexander Shekhovtsov DRL 21 0 0 19 Jul 2023
Enhancing Diffusion-Based Image Synthesis with Robust Classifier Guidance Bahjat Kawar Roy Ganz Michael Elad DiffM 19 38 0 18 Aug 2022
RENs: Relevance Encoding Networks Krithika S. Iyer Riddhish Bhalodia Shireen Elhabian DRL 11 1 0 25 May 2022
A Unified f-divergence Framework Generalizing VAE and GAN Jaime Roquero Gimenez James Y. Zou 11 2 0 11 May 2022
Lifelong Mixture of Variational Autoencoders Fei Ye A. Bors DRL 11 27 0 09 Jul 2021
Lifelong Teacher-Student Network Learning Fei Ye A. Bors CLL 15 42 0 09 Jul 2021
Symmetric Wasserstein Autoencoders S. Sun Hong Guo DiffM GAN 16 0 0 24 Jun 2021
Solving Inverse Problems by Joint Posterior Maximization with Autoencoding Prior Mario González Andrés Almansa Pauline Tan 37 30 0 02 Mar 2021
Learning latent representations across multiple data domains using Lifelong VAEGAN Fei Ye A. Bors SyDa CLL 10 65 0 20 Jul 2020
Bridging Maximum Likelihood and Adversarial Learning via $α$ -Divergence Miaoyun Zhao Yulai Cong Shuyang Dai Lawrence Carin GAN 16 10 0 13 Jul 2020
Learning to infer in recurrent biological networks Ari S. Benjamin Konrad Paul Kording SSL DRL 24 1 0 18 Jun 2020
Generative Adversarial Networks (GANs Survey): Challenges, Solutions, and Future Directions Divya Saxena Jiannong Cao AAML AI4CE 13 284 0 30 Apr 2020
APo-VAE: Text Generation in Hyperbolic Space Shuyang Dai Zhe Gan Yu Cheng Chenyang Tao Lawrence Carin Jingjing Liu BDL GAN DRL 6 33 0 30 Apr 2020
Double Backpropagation for Training Autoencoders against Adversarial Attack Chengjin Sun Sizhe Chen Xiaolin Huang SILM AAML 10 5 0 04 Mar 2020
Learning Representations by Maximizing Mutual Information in Variational Autoencoders Ali Lotfi-Rezaabad S. Vishwanath DRL SSL 9 38 0 21 Dec 2019
Solving Inverse Problems by Joint Posterior Maximization with a VAE Prior Mario González Andrés Almansa M. Delbracio Pablo Musé Pauline Tan 26 6 0 14 Nov 2019
MIM: Mutual Information Machine M. Livne Kevin Swersky David J. Fleet DRL 11 6 0 08 Oct 2019
High Mutual Information in Representation Learning with Symmetric Variational Inference M. Livne Kevin Swersky David J. Fleet SSL DRL 20 0 0 04 Oct 2019
Implicit Discriminator in Variational Autoencoder Prateek Munjal Akanksha Paul N. C. Krishnan GAN DRL 16 13 0 28 Sep 2019
Implicit Deep Latent Variable Models for Text Generation Le Fang Chunyuan Li Jianfeng Gao Wen Dong Changyou Chen DRL 20 64 0 30 Aug 2019
Tutorial: Deriving the Standard Variational Autoencoder (VAE) Loss Function Stephen G. Odaibo GAN BDL DRL 11 53 0 21 Jul 2019
Learning with Succinct Common Representation Based on Wyner's Common Information Jeonghun Ryu Yoojin Choi Young-Han Kim Mostafa El-Khamy Jungwon Lee DRL GAN 11 2 0 27 May 2019
Label-Removed Generative Adversarial Networks Incorporating with K-Means Ce Wang Zhangling Chen Kun Shang GAN 16 25 0 19 Feb 2019
Adversarially Approximated Autoencoder for Image Generation and Manipulation Wenju Xu Shawn Keshmiri Guanghui Wang GAN 24 71 0 14 Feb 2019
Pairwise Augmented GANs with Adversarial Reconstruction Loss Aibek Alanov Max Kochurov D. Yashkov Dmitry Vetrov GAN 14 3 0 11 Oct 2018
The Information Autoencoding Family: A Lagrangian Perspective on Latent Variable Generative Models Shengjia Zhao Jiaming Song Stefano Ermon DRL GAN 4 19 0 18 Jun 2018
Adversarial Attacks on Variational Autoencoders George Gondim-Ribeiro Pedro Tabacof Eduardo Valle AAML DRL 9 43 0 12 Jun 2018
JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets Yunchen Pu Shuyang Dai Zhe Gan Weiyao Wang Guoyin Wang Yizhe Zhang Ricardo Henao Lawrence Carin GAN OOD 20 41 0 08 Jun 2018
Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference Louis C. Tiao Edwin V. Bonilla F. Ramos BDL OOD 9 7 0 05 Jun 2018
Adversarial Training of Variational Auto-encoders for High Fidelity Image Generation Salman H. Khan Munawar Hayat Nick Barnes GAN DRL 19 20 0 27 Apr 2018
Training VAEs Under Structured Residuals Garoe Dorta Sara Vicente Lourdes Agapito Neill D. F. Campbell Ivor J. A. Simpson BDL DRL 14 12 0 03 Apr 2018
Structured Uncertainty Prediction Networks Garoe Dorta Sara Vicente Lourdes Agapito Neill D. F. Campbell Ivor J. A. Simpson UQCV 33 62 0 20 Feb 2018
Distribution Matching in Variational Inference Mihaela Rosca Balaji Lakshminarayanan S. Mohamed GAN CML DRL 18 98 0 19 Feb 2018
A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines D. Charte F. Charte S. García M. J. D. Jesus Francisco Herrera 22 256 0 04 Jan 2018
Fixing a Broken ELBO Alexander A. Alemi Ben Poole Ian S. Fischer Joshua V. Dillon Rif A. Saurous Kevin Patrick Murphy DRL BDL 34 80 0 01 Nov 2017
Triangle Generative Adversarial Networks Zhe Gan Liqun Chen Weiyao Wang Yunchen Pu Yizhe Zhang Hao Liu Chunyuan Li Lawrence Carin GAN OOD 21 136 0 19 Sep 2017
Symmetric Variational Autoencoder and Connections to Adversarial Learning Liqun Chen Shuyang Dai Yunchen Pu Chunyuan Li Weiyao Wang Lawrence Carin DRL GAN 25 70 0 06 Sep 2017
ALICE: Towards Understanding Adversarial Learning for Joint Distribution Matching Chunyuan Li Hao Liu Changyou Chen Yunchen Pu Liqun Chen Ricardo Henao Lawrence Carin GAN FedML 32 220 0 05 Sep 2017
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 227 2,543 0 25 Jan 2016