Search Results - "Adversarial variational autoencoder"

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

“…Data augmentation with imbalanced samples is tentative and tricky for rolling bearing fault diagnosis in practice. However, its complex hierarchical knowledge…”
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Controllable Blind AC FDIA via Physics-Informed Extrapolative AVAE by Zhao, Siliang, Luo, Wuman, Shu, Qin, Xu, Fangwei

“…False data injection attacks (FDIAs) targeting AC state estimation pose significant challenges, especially when only power measurements are available, and…”
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Coupled adversarial variational autoencoder by Hou, Yingzhen, Zhai, Junhai, Chen, Jiankai

“…Generating image is a hot research topic in the field of deep learning, and it is challenging for generating high quality image pairs. The image pair refers to…”
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An LSTM-based adversarial variational autoencoder framework for self-supervised neural decoding of behavioral choices by Salsabilian, Shiva, Lee, Christian, Margolis, David, Najafizadeh, Laleh

“…This paper presents data-driven solutions to address two challenges in the problem of linking neural data and behavior: (1) unsupervised analysis of…”
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Transformer-based Denoising Adversarial Variational Entity Resolution by Li, Shuaichao, Wu, Huaiguang

“…Entity resolution (ER), precisely identifying different representations of the same real-world entities, is critical for data integration. The ER question has…”
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A novel attribute-based generation architecture for facial image editing by Li, Defang, Zhang, Min, Zhang, Lifang, Chen, Weifu, Feng, Guocan

“…Facial image editing is one of the hot topics in recent years due to the great development in deep generative models. Current models are either based on…”
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Fingerprint Reconstruction using AVAE Algorithm by Uma Mageswari, T, Nivetha, A, Jagajanani, S D, Aadithya, S

“…Fingerprint recognition stands out as a crucial area of study in the forensic department. There are many challenges that persist in the fingerprint…”
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