Search Results - sequential variational autoencoder*

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…”
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Medical Data Wrangling With Sequential Variational Autoencoders by Barrejon, Daniel, Olmos, Pablo M., Artes-Rodriguez, Antonio

“… collected in a misaligned uneven fashion, among other causes. This paper proposes to model medical data records with heterogeneous data types and bursty missing data using sequential variational autoencoders (VAEs…”
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Dam anomaly assessment based on sequential variational autoencoder and evidence theory by Shu, Xiaosong, Bao, Tengfei, Xu, Ruichen, Li, Yangtao, Zhang, Kang

“…Considering the multi-sources, heterogeneity and complexity of dam anomaly assessment, a novel anomaly assessment model based on sequential variational autoencoder and evidence theory is proposed…”
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DistVAE: Distributed Variational Autoencoder for sequential recommendation by Li, Li, Xiahou, Jianbing, Lin, Fan, Su, Songzhi

“… Recently, the generative methods based on Variational Autoencoder (VAE) have shown promising performance in modeling temporal dependencies among items in user sequences…”
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Sensing anomaly of photovoltaic systems with sequential conditional variational autoencoder by Li, Ding, Zhang, Yufei, Yang, Zheng, Jin, Yaohui, Xu, Yanyan

“… This study proposes the Sequential Conditional Variational Autoencoder (SCVAE), which can cope with the sequential impacts of the environment on PV…”
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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…”
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Disentangled Sequential Variational Autoencoder for Collaborative Filtering by Wu, Mei-lin, Huang, Jia-jin, Qin, Jin

“… characteristics.In this paper, a variational autoencoder based framework DSVAECF is proposed to disentangle the static and dynamic factors from user's historical…”
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Robust Synthetic Data Generation for Sequential Financial Models Using Hybrid Variational Autoencoder–Markov Chain Monte Carlo Architectures by Bruni Prenestino, Francesco, Barbierato, Enrico, Gatti, Alice

“… This study proposes a novel hybrid architecture that combines variational autoencoders (VAEs) with Markov Chain Monte Carlo…”
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Dual Sequential Variational Autoencoders for Fraud Detection

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Sequential Variational Autoencoder for Industrial Inferential Modeling by Song, Zehui, Wang, Zhuocheng, Yu, Guo, Jiang, Chao, Li, Jun, Bo, Cuimei

“… To address these challenges, this study introduces the Sequential Variational Autoencoder (SVAE). The SVAE model incorporates sophisticated self-attention…”
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Disentangled Representation of Longitudinal Β-Amyloid for AD Via Sequential Graph Variational Autoencoder with Supervision by Yang, Fan, Wu, Guorong, Hwa Kim, Won

“… We present a novel variational autoencoder model to learn a latent population-level representation of neurodegeneration process based on the longitudinal β…”
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Medical data wrangling with sequential variational autoencoders by Barrejón, Daniel, Olmos, Pablo M, Artés-Rodríguez, Antonio

“… collected in a misaligned uneven fashion, among other causes. This paper proposes to model medical data records with heterogeneous data types and bursty missing data using sequential variational autoencoders (VAEs…”
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Performing sequential forward selection and variational autoencoder techniques in soil classification based on laser-induced breakdown spectroscopy by Harefa, Edward, Zhou, Weidong

“… The dimensions of the data were then reduced using variational autoencoder (VAE), truncated singular value decomposition…”
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Contrastively Disentangled Sequential Variational Autoencoder by Bai, Junwen, Wang, Weiran, Gomes, Carla

“… We propose a novel sequence representation learning method, named Contrastively Disentangled Sequential Variational Autoencoder (C-DSVAE…”
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Contrastive Intent-Disentangled Variational AutoEncoder for Sequential Recommendation by Yuan, Yafan, Liu, Zhen, Yang, Xinxin, Lu, Sibo

“… We propose Contrastive Intent-Disentangled Variational AutoEncoder (CIDVAE), a novel method to model and disentangle complex latent intentions in Sequential Recommendation (SR…”
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S-HR-VQVAE: Sequential Hierarchical Residual Learning Vector Quantized Variational Autoencoder for Video Prediction by Adiban, Mohammad, Stefanov, Kalin, Siniscalchi, Sabato Marco, Salvi, Giampiero

“… (AST-PM). We refer to this approach as a sequential hierarchical residual learning vector quantized variational autoencoder (S-HR-VQVAE…”
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StressFADS: Learning Latent Autonomic Factors of Stress in the Context of Trauma Recall and Neuromodulation by Gazi, Asim H., Chan, Michael, Hsu, Hao-Lun, Bremner, J. Douglas, Rozell, Christopher J., Inan, Omer T.

“…Physiological markers of stress and neuromodulation (e.g., heart rate variability) are often inconsistent when it comes to quantifying changes in autonomic…”
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Discriminative Feature Extraction Based on Sequential Variational Autoencoder for Speaker Recognition by Yoshimura, Takenori, Koike, Natsumi, Hashimoto, Kei, Oura, Keiichiro, Nankaku, Yoshihiko, Tokuda, Keiichi

“…This paper presents an extended version of the variational autoencoder (VAE) for sequence modeling…”
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ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation by Wang, Yu, Zhang, Hengrui, Liu, Zhiwei, Yang, Liangwei, Yu, Philip S

“…) uncertainty of sequential records, 3) long-tail items. In this paper, we propose to incorporate contrastive learning into the framework of Variational AutoEncoders to address these challenges simultaneously…”
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NEC (6701) issued patent titled "Self-supervised sequential variational autoencoder for disentangled data generation"

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