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Symmetric Variational Autoencoder and Connections to Adversarial Learning

6 September 2017

Lawrence Carin

Papers citing "Symmetric Variational Autoencoder and Connections to Adversarial Learning"

34 / 34 papers shown

Title
Joint-stochastic-approximation Autoencoders with Application to Semi-supervised Learning Wenbo He Zhijian Ou DRL BDL 122 0 0 24 May 2025
Improving Adversarial Energy-Based Model via Diffusion Process Cong Geng Tian Han Peng-Tao Jiang Hao Zhang Jinwei Chen Søren Hauberg Yue Liu DiffM 382 5 0 04 Mar 2024
MiniLLM: Knowledge Distillation of Large Language ModelsInternational Conference on Learning Representations (ICLR), 2023 Yuxian Gu Li Dong Furu Wei Shiyu Huang ALM 519 93 0 14 Jun 2023
Variational Autoencoder Kernel Interpretation and Selection for Classification Fábio Mendonça S. Mostafa F. M. Dias A. Ravelo-García DRL 110 3 0 10 Sep 2022
Bi-level Doubly Variational Learning for Energy-based Latent Variable ModelsComputer Vision and Pattern Recognition (CVPR), 2022 Ge Kan Jinhu Lu Tian Wang Baochang Zhang Aichun Zhu Lei Huang Guodong Guo H. Snoussi 190 8 0 24 Mar 2022
GATSBI: Generative Adversarial Training for Simulation-Based InferenceInternational Conference on Learning Representations (ICLR), 2022 Poornima Ramesh Jan-Matthis Lueckmann Jan Boelts Álvaro Tejero-Cantero David S. Greenberg P. J. Gonçalves Jakob H. Macke GAN 183 40 0 12 Mar 2022
Lifelong Generative Modelling Using Dynamic Expansion Graph Model Fei Ye A. Bors CLL 170 13 0 15 Dec 2021
Lifelong Mixture of Variational AutoencodersIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021 Fei Ye A. Bors DRL 103 32 0 09 Jul 2021
Symmetric Wasserstein Autoencoders S. Sun Hong Guo DiffM GAN 140 0 0 24 Jun 2021
An Interpretable Neural Network for Parameter Inference Johann Pfitzinger 166 0 0 10 Jun 2021
AVAE: Adversarial Variational Auto EncoderInternational Conference on Pattern Recognition (ICPR), 2020 Antoine Plumerault Hervé Le Borgne C´eline Hudelot GAN DRL 121 19 0 21 Dec 2020
Wasserstein Contrastive Representation DistillationComputer Vision and Pattern Recognition (CVPR), 2020 Liqun Chen Dong Wang Zhe Gan Jingjing Liu Ricardo Henao Lawrence Carin 165 107 0 15 Dec 2020
Learning latent representations across multiple data domains using Lifelong VAEGAN Fei Ye A. Bors SyDa CLL 148 78 0 20 Jul 2020
Bidirectional Generative Modeling Using Adversarial Gradient Estimation Xinwei Shen Tong Zhang Kani Chen GAN 164 9 0 21 Feb 2020
Expected Information Maximization: Using the I-Projection for Mixture Density EstimationInternational Conference on Learning Representations (ICLR), 2020 P. Becker Oleg Arenz Gerhard Neumann 123 16 0 23 Jan 2020
Zero-Shot Recognition via Optimal Transport Wenlin Wang Hongteng Xu Guoyin Wang Wenqi Wang Lawrence Carin OT 140 2 0 20 Oct 2019
Variationally Inferred Sampling Through a Refined Bound for Probabilistic Programs Víctor Gallego D. Insua BDL 225 1 0 26 Aug 2019
Tutorial: Deriving the Standard Variational Autoencoder (VAE) Loss Function Stephen G. Odaibo GAN BDL DRL 114 61 0 21 Jul 2019
Semantics Preserving Adversarial Learning Ousmane Amadou Dia Elnaz Barshan Reza Babanezhad AAML GAN 358 2 0 10 Mar 2019
Learning Disentangled Representations with Reference-Based Variational Autoencoders Adria Ruiz Oriol Martínez Xavier Binefa Jakob Verbeek OOD CoGe DRL 143 27 0 24 Jan 2019
Conditional deep surrogate models for stochastic, high-dimensional, and multi-fidelity systems Jianlong Wu P. Perdikaris SyDa BDL AI4CE 108 62 0 15 Jan 2019
Adaptive Density Estimation for Generative Models Thomas Lucas K. Shmelkov Alahari Karteek Cordelia Schmid Jakob Verbeek GAN DRL 334 32 0 04 Jan 2019
Adversarial Learning of a Sampler Based on an Unnormalized Distribution Chunyuan Li Ke Bai Jianqiao Li Guoyin Wang Changyou Chen Lawrence Carin 197 10 0 03 Jan 2019
Divergence Triangle for Joint Training of Generator Model, Energy-based Model, and Inference Model Tian Han Erik Nijkamp Xiaolin Fang Mitch Hill Song-Chun Zhu Ying Nian Wu 211 69 0 28 Dec 2018
Adversarial Uncertainty Quantification in Physics-Informed Neural NetworksJournal of Computational Physics (JCP), 2018 Jianlong Wu P. Perdikaris AI4CE PINN 270 387 0 09 Nov 2018
Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow Xue Bin Peng Angjoo Kanazawa Sam Toyer Pieter Abbeel Sergey Levine 213 232 0 01 Oct 2018
A Review of Learning with Deep Generative Models from Perspective of Graphical Modeling Zhijian Ou 229 15 0 05 Aug 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 137 43 0 08 Jun 2018
Generative Modeling by Inclusive Neural Random Fields with Applications in Image Generation and Anomaly Detection Yunfu Song Zhijian Ou DiffM 334 31 0 01 Jun 2018
Network Learning with Local Propagation Dimche Kostadinov Behrooz Razeghi Sohrab Ferdowsi Svyatoslav Voloshynovskiy 82 0 0 20 May 2018
Adversarial Time-to-Event Modeling Paidamoyo Chapfuwa Chenyang Tao Chunyuan Li C. Page B. Goldstein Lawrence Carin Ricardo Henao AAML OOD CML 149 95 0 09 Apr 2018
Adversarial Symmetric Variational Autoencoder Yunchen Pu Weiyao Wang Ricardo Henao Liqun Chen Zhe Gan Chunyuan Li Lawrence Carin DRL GAN 235 79 0 14 Nov 2017
Triangle Generative Adversarial Networks Zhe Gan Liqun Chen Weiyao Wang Yunchen Pu Yizhe Zhang Hao Liu Chunyuan Li Lawrence Carin GAN OOD 160 141 0 19 Sep 2017
On Unifying Deep Generative ModelsInternational Conference on Learning Representations (ICLR), 2017 Zhiting Hu Zichao Yang Ruslan Salakhutdinov Eric Xing DRL GAN 337 128 0 02 Jun 2017