Suchergebnisse - "Generative Autoencoder"

Generating sequential electronic health records using dual adversarial autoencoder von Lee, Dongha, Yu, Hwanjo, Jiang, Xiaoqian, Rogith, Deevakar, Gudala, Meghana, Tejani, Mubeen, Zhang, Qiuchen, Xiong, Li

“… Recent studies on electronic health records (EHRs) started to learn deep generative models and synthesize a huge amount of realistic records, in order to …”
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Component-aware generative autoencoder for structure hybrid and shape completion von Zhang, Fan, Fu, Qiang, Liu, Yang, Li, Xueming

“… Assembling components of man-made objects to create new structures or complete 3D shapes is a popular approach in 3D modeling techniques. Recently, leveraging …”
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A neural generative autoencoder for bilingual word embeddings von Su, Jinsong, Wu, Shan, Zhang, Biao, Wu, Changxing, Qin, Yue, Xiong, Deyi

“… Bilingual word embeddings (BWEs) have been shown to be useful in various cross-lingual natural language processing tasks. To accurately learn BWEs, previous …”
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AI-Driven De Novo Design and Molecular Modeling for Discovery of Small-Molecule Compounds as Potential Drug Candidates Targeting SARS-CoV-2 Main Protease von Andrianov, Alexander M., Shuldau, Mikita A., Furs, Konstantin V., Yushkevich, Artsemi M., Tuzikov, Alexander V.

“… Over the past three years, significant progress has been made in the development of novel promising drug candidates against COVID-19. However, SARS-CoV-2 …”
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Lung image quality assessment and diagnosis using generative autoencoders in unsupervised ensemble learning von Rajasekar, Elakkiya, Chandra, Harshiv, Pears, Nick, Vairavasundaram, Subramaniyaswamy, Kotecha, Ketan

“… Proposed Architecture of Lung Image Diagnosis Using Generative Autoencoders in Unsupervised Ensemble Learning. [Display omitted] •Proposed GAME (Generative …”
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On the adversarial robustness of generative autoencoders in the latent space von Lu, Mingfei, Chen, Badong

“… The generative autoencoders, such as the variational autoencoders or the adversarial autoencoders, have achieved great success in lots of real-world …”
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Evidence Transfer for Improving Clustering Tasks Using External Categorical Evidence von Davvetas, Athanasios, Klampanos, Iraklis A., Karkaletsis, Vangelis

“… In this paper we introduce evidence transfer for clustering, a deep learning method that can incrementally manipulate the latent representations of an …”
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