Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks

17 January 2017

Papers citing "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks"

50 / 270 papers shown

Title
Leveraging Relational Information for Learning Weakly Disentangled Representations Andrea Valenti D. Bacciu CoGe DRL 27 5 0 20 May 2022
A Unified f-divergence Framework Generalizing VAE and GAN Jaime Roquero Gimenez James Zou 13 2 0 11 May 2022
Unsupervised Mismatch Localization in Cross-Modal Sequential Data with Application to Mispronunciations Localization Wei Wei Hengguan Huang Xiangming Gu Hao Wang Ye Wang BDL 22 0 0 05 May 2022
Synthesizing Informative Training Samples with GAN Bo-Lu Zhao Hakan Bilen DD 28 74 0 15 Apr 2022
Diagnosing and Fixing Manifold Overfitting in Deep Generative Models G. Loaiza-Ganem Brendan Leigh Ross Jesse C. Cresswell Anthony L. Caterini GAN DRL 16 28 0 14 Apr 2022
Inference over radiative transfer models using variational and expectation maximization methods D. Svendsen Daniel Hernández-Lobato Luca Martino Valero Laparra Á. Moreno-Martínez Gustau Camps-Valls 39 4 0 07 Apr 2022
Upsampling Autoencoder for Self-Supervised Point Cloud Learning Cheng Zhang Jian Shi X. Deng Zizhao Wu 3DPC 27 8 0 21 Mar 2022
GATSBI: Generative Adversarial Training for Simulation-Based Inference Poornima Ramesh Jan-Matthis Lueckmann Jan Boelts Álvaro Tejero-Cantero David S. Greenberg P. J. Gonçalves Jakob H. Macke GAN 45 33 0 12 Mar 2022
Deep clustering with fusion autoencoder Shuai Chang DRL 14 0 0 11 Jan 2022
Lifelong Generative Modelling Using Dynamic Expansion Graph Model Fei Ye A. Bors CLL 14 10 0 15 Dec 2021
Analyzing High-Resolution Clouds and Convection using Multi-Channel VAEs Harshini Mangipudi G. Mooers Michael S. Pritchard Tom Beucler Stephan Mandt 8 2 0 01 Dec 2021
Generative Adversarial Networks and Adversarial Autoencoders: Tutorial and Survey Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley GAN 34 12 0 26 Nov 2021
NeurInt : Learning to Interpolate through Neural ODEs Avinandan Bose Aniket Das Yatin Dandi P. Rai DiffM DRL 17 0 0 07 Nov 2021
Variational Inference with Holder Bounds Junya Chen Danni Lu Zidi Xiu Ke Bai Lawrence Carin Chenyang Tao 19 6 0 04 Nov 2021
Function-space Inference with Sparse Implicit Processes Simón Rodríguez Santana B. Zaldívar Daniel Hernández-Lobato 26 11 0 14 Oct 2021
Statistical Regeneration Guarantees of the Wasserstein Autoencoder with Latent Space Consistency A. Chakrabarty Swagatam Das DRL 14 6 0 08 Oct 2021
Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space S. Ghimire A. Masoomi Jennifer Dy 23 7 0 29 Sep 2021
Inferential Wasserstein Generative Adversarial Networks Yao Chen Qingyi Gao Xiao Wang GAN 105 19 0 13 Sep 2021
Stochastic Physics-Informed Neural Ordinary Differential Equations Jared O’Leary J. Paulson A. Mesbah 17 37 0 03 Sep 2021
Deep Dive into Semi-Supervised ELBO for Improving Classification Performance Fahim Faisal Niloy M. A. Amin Akm Mahbubur Rahman A. Ali DRL 25 0 0 29 Aug 2021
Efficient Out-of-Distribution Detection Using Latent Space of $β$ -VAE for Cyber-Physical Systems Shreyas Ramakrishna Zahra Rahiminasab G. Karsai Arvind Easwaran Abhishek Dubey OODD 19 27 0 26 Aug 2021
Regularized Sequential Latent Variable Models with Adversarial Neural Networks Jin Huang Ming Xiao BDL GNN DRL GAN 19 3 0 10 Aug 2021
P-WAE: Generalized Patch-Wasserstein Autoencoder for Anomaly Screening Yurong Chen 51 0 0 09 Aug 2021
Lifelong Teacher-Student Network Learning Fei Ye A. Bors CLL 15 44 0 09 Jul 2021
Deep Image Synthesis from Intuitive User Input: A Review and Perspectives Yuan Xue Yuanchen Guo Han Zhang Tao Xu Song-Hai Zhang Xiaolei Huang EGVM 3DV 18 22 0 09 Jul 2021
Calliope -- A Polyphonic Music Transformer Andrea Valenti S. Berti D. Bacciu ViT 22 1 0 08 Jul 2021
KALE Flow: A Relaxed KL Gradient Flow for Probabilities with Disjoint Support Pierre Glaser Michael Arbel A. Gretton 44 37 0 16 Jun 2021
Bayesian graph convolutional neural networks via tempered MCMC Rohitash Chandra A. Bhagat Manavendra Maharana P. Krivitsky GNN BDL 23 16 0 17 Apr 2021
Revisiting Bayesian Autoencoders with MCMC Rohitash Chandra Mahir Jain Manavendra Maharana P. Krivitsky UQCV BDL 29 17 0 13 Apr 2021
Transitional Learning: Exploring the Transition States of Degradation for Blind Super-resolution Yuanfei Huang Jie Li Yanting Hu Xinbo Gao Huan Huang 26 4 0 29 Mar 2021
Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation Zhe Xie Chengxuan Liu Yichi Zhang Hongtao Lu Dong Wang Yue Ding BDL DRL 28 91 0 19 Mar 2021
DP-Image: Differential Privacy for Image Data in Feature Space Hanyu Xue Bo Liu Ming Ding Tianqing Zhu Dayong Ye Li-Na Song Wanlei Zhou 15 33 0 12 Mar 2021
Variational inference with a quantum computer Marcello Benedetti Brian Coyle Mattia Fiorentini M. Lubasch Matthias Rosenkranz BDL 22 37 0 11 Mar 2021
Posterior Meta-Replay for Continual Learning Christian Henning Maria R. Cervera Francesco DÁngelo J. Oswald Regina Traber Benjamin Ehret Seijin Kobayashi Benjamin Grewe João Sacramento CLL BDL 51 54 0 01 Mar 2021
Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data Yu Gong Hossein Hajimirsadeghi Jiawei He Thibaut Durand Greg Mori CML 25 11 0 25 Feb 2021
Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models Justin Bayer Maximilian Soelch Atanas Mirchev Baris Kayalibay Patrick van der Smagt 29 15 0 18 Jan 2021
Self-Supervised Pretraining of 3D Features on any Point-Cloud Zaiwei Zhang Rohit Girdhar Armand Joulin Ishan Misra 3DPC 126 268 0 07 Jan 2021
Factor Analysis, Probabilistic Principal Component Analysis, Variational Inference, and Variational Autoencoder: Tutorial and Survey Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley DRL 22 34 0 04 Jan 2021
Infer-AVAE: An Attribute Inference Model Based on Adversarial Variational Autoencoder Yadong Zhou Zhihao Ding Xiaoming Liu Chao Shen Lingling Tong X. Guan BDL DRL 14 8 0 30 Dec 2020
Acoustic Leak Detection in Water Networks Robert Muller Steffen Illium Fabian Ritz T. Schröder Christian Platschek J. Ochs Claudia Linnhoff-Popien 20 13 0 11 Dec 2020
Conditional Generation of Medical Images via Disentangled Adversarial Inference Mohammad Havaei Ximeng Mao Yiping Wang Qicheng Lao GAN MedIm 26 20 0 08 Dec 2020
End-To-End Dilated Variational Autoencoder with Bottleneck Discriminative Loss for Sound Morphing -- A Preliminary Study Matteo Lionello Hendrik Purwins 26 0 0 19 Nov 2020
Learning on Attribute-Missing Graphs Xu Chen Siheng Chen Jiangchao Yao Huangjie Zheng Ya-Qin Zhang Ivor W Tsang 24 85 0 03 Nov 2020
The ELBO of Variational Autoencoders Converges to a Sum of Three Entropies Simon Damm D. Forster Dmytro Velychko Zhenwen Dai Asja Fischer Jörg Lücke DRL 22 5 0 28 Oct 2020
Out-of-distribution detection for regression tasks: parameter versus predictor entropy Y. Pequignot Mathieu Alain Patrick Dallaire Alireza Yeganehparast Pascal Germain Josée Desharnais Franccois Laviolette OODD 9 2 0 24 Oct 2020
Autoencoder Watchdog Outlier Detection for Classifiers Justin Bui R. Marks 31 7 0 24 Oct 2020
A semi-supervised autoencoder framework for joint generation and classification of breathing O. Pastor-Serrano D. Lathouwers Zoltán Perkó MedIm AI4TS 14 0 0 19 Oct 2020
Regularized Inverse Reinforcement Learning Wonseok Jeon Chen-Yang Su Paul Barde T. Doan Derek Nowrouzezahrai Joelle Pineau 25 11 0 07 Oct 2020
A Contrastive Learning Approach for Training Variational Autoencoder Priors J. Aneja A. Schwing Jan Kautz Arash Vahdat DRL 8 81 0 06 Oct 2020
MCMC-Interactive Variational Inference Quan Zhang Huangjie Zheng Mingyuan Zhou 14 1 0 02 Oct 2020