Search Results - adversarial variational autoencoder

A locational false data injection attack detection method in smart grid based on adversarial variational autoencoders by Wang, Yufeng, Zhou, Yangming, Ma, Jianhua, jin, Qun

“… To address the above issues, this paper proposes an effective locational FDIA detection framework based on data reconstruction, AT-GVAE, which seamlessly integrates the variational autoencoders (VAEs…”
Get full text

Coupled adversarial variational autoencoder by Hou, Yingzhen, Zhai, Junhai, Chen, Jiankai

“… To address this problem, we proposed a novel model which consists of two adversarial variational autoencoders, each one aim at generating an image of pairs more accurately…”
Get full text

A ^VGAE: An Attribute-Augmented Adversarial Variational Graph Autoencoder for Link Prediction by Pan, Zhihong, Zhong, Zhijie, Wei, Lingling, Lin, Yunxuan, Li, Weisheng, Lin, Ronghua, Tang, Yong

“… variational graph autoencoder (A<inline-formula><tex-math notation="LaTeX">{}^{3}</tex-math></inline-formula>VGAE), which can effectively solve the above two problems…”
Get full text

A deep adversarial variational autoencoder model for dimensionality reduction in single-cell RNA sequencing analysis by Lin, Eugene, Mukherjee, Sudipto, Kannan, Sreeram

“…-A (Dimensionality Reduction with Adversarial variational autoencoder), a data-driven approach to fulfill the task of dimensionality reduction…”
Get full text

adVAE: A self-adversarial variational autoencoder with Gaussian anomaly prior knowledge for anomaly detection by Wang, Xuhong, Du, Ying, Lin, Shijie, Cui, Ping, Shen, Yuntian, Yang, Yupu

“… To solve the above two problems, we propose a self-adversarial variational autoencoder (adVAE) with a Gaussian anomaly prior assumption…”
Get full text

Interpretable data-augmented adversarial variational autoencoder with sequential attention for imbalanced fault diagnosis by Liu, Yunpeng, Jiang, Hongkai, Yao, Renhe, Zhu, Hongxuan

“… In this paper, an interpretable data-augmented adversarial variational autoencoder with sequential attention (AVAE-SQA…”
Get full text

Semi-Supervised Adversarial Variational Autoencoder by Zemouri, Ryad

“…We present a method to improve the reconstruction and generation performance of a variational autoencoder (VAE…”
Get full text

Normative Modeling Via Conditional Variational Autoencoder and Adversarial Learning to Identify Brain Dysfunction in Alzheimer's Disease by Wang, Xuetong, Zhou, Rong, Zhao, Kanhao, Leow, Alex, Zhang, Yu, He, Lifang

“… In this study, we propose a novel normative modeling method by combining conditional variational autoencoder with adversarial learning (ACVAE…”
Get full text

Unsupervised domain adaptation with Joint Adversarial Variational AutoEncoder by Li, Yuze, Zhang, Yan, Yang, Chunling

“… In this paper, we propose a Joint Adversarial Variational AutoEncoder (JVA2E) for unsupervised domain adaptation tasks…”
Get full text

Fault Detection and Identification of Underwater Thruster Without Fault Sample Based on Adversarial Variational Autoencoder by Zhu, Daqi, Zeng, Tianhong

“…This article proposes a new underwater thruster fault detection and identification method based on adversarial variational autoencoder (AdvVAE…”
Get full text

Self-adversarial variational autoencoder with spectral residual for time series anomaly detection by Liu, Yunxiao, Lin, Youfang, Xiao, QinFeng, Hu, Ganghui, Wang, Jing

“… the performance of detection methods. To this end, a novel unsupervised method, called Self-adversarial Variational Autoencoder with Spectral Residual (SaVAE-SR…”
Get full text

An LSTM-based adversarial variational autoencoder framework for self-supervised neural decoding of behavioral choices by Salsabilian, Shiva, Lee, Christian, Margolis, David, Najafizadeh, Laleh

“… To address subject variability in decoding neural activity, adversarial learning in combination with a long short-term memory-based adversarial variational autoencoder…”
Get full text

AEGANAuth: Autoencoder GAN-Based Continuous Authentication With Conditional Variational Autoencoder Generative Adversarial Network by Li, Yantao, Ouyang, Caike, Huang, Hongyu

“… In this article, we present AEGANAuth, a lightweight and effective autoencoder GAN (AEGAN)-based continuous Authentication system for mobile devices using conditional variational autoencoder generative adversarial network (CVAEGAN…”
Get full text

AD-VAE: Adversarial Disentangling Variational Autoencoder by Silva, Adson, Farias, Ricardo

“… To address these issues, we propose a novel framework called AD-VAE, specifically for SSPP FR, using a combination of variational autoencoder…”
Get full text

Deceptive reviewer group detection using self-adversarial variational autoencoder: a heterogeneous graph-based approach by Maurya, Sushil Kumar, Singh, Dinesh

“…With the rapid growth of online review platforms and e-commerce websites, user-posted reviews have become an essential factor influencing consumers' purchasing…”
Get full text

Infer-AVAE: An attribute inference model based on adversarial variational autoencoder by Zhou, Yadong, Ding, Zhihao, Liu, Xiaoming, Shen, Chao, Tong, Lingling, Guan, Xiaohong

“… Recently, variational autoencoder (VAE), an end-to-end deep generative model, has shown promising performance by handling the problem in a semi-supervised way…”
Get full text

Adversarial variational autoencoder for attributed graph embedding with high-frequency noise filtering by Zhou, Hui, Liu, Xin, Li, Xiangju, Zhao, Zhongying, Li, Chao

“…) in conjunction with a Laplacian smoothing filter. In particular, the AAGE employs a variational autoencoder (VAE…”
Get full text

Advancing Metaverse-Based Healthcare With Multimodal Neuroimaging Fusion Via Multi-Task Adversarial Variational Autoencoder for Brain Age Estimation by Usman, Muhammad, Rehman, Azka, Shahid, Abdullah, Rehman, Abd Ur, Gho, Sung-Min, Lee, Aleum, Khan, Tariq M., Razzak, Imran

“… To address these challenges, we present the Multitask Adversarial Variational Autoencoder (M-AVAE), a bespoke deep learning framework…”
Get full text

Sequential Variational Autoencoder with Adversarial Classifier for Video Disentanglement by Haga, Takeshi, Kera, Hiroshi, Kawamoto, Kazuhiko

“…In this paper, we propose a sequential variational autoencoder for video disentanglement, which is a representation learning method that can be used to separately extract static and dynamic features from videos…”
Get full text

CM-AVAE: Cross-Modal Adversarial Variational Autoencoder for Visual-to-Tactile Data Generation by Xi, Qiyuan, Wang, Fei, Tao, Liangze, Zhang, Hanjing, Jiang, Xun, Wu, Juan

“… Furthermore, this approach can be applied to robot-related tasks. This letter presents a cross-modal adversarial variational autoencoder (CM-AVAE…”
Get full text