Search Results - conditional variational autoencoder(cae)

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  1. 1

    Fast Prediction of Airfoil Aerodynamic Characteristics Based on a Combined Autoencoder by Wang, Xu, Qian, Weiqi, Zhao, Tun, He, Lei, Chen, Hai, Sun, Haisheng, Tian, Yuan, Cui, Jinlei

    ISSN: 2073-8994, 2073-8994
    Published: Basel MDPI AG 01.07.2024
    Published in Symmetry (Basel) (01.07.2024)
    “… To solve these problems, a combined autoencoder (CAE) network is proposed in this paper, which can achieve the fast prediction of airfoil aerodynamic coefficients and pressure distributions…”
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    Journal Article
  2. 2

    F0-Consistent Many-To-Many Non-Parallel Voice Conversion Via Conditional Autoencoder by Qian, Kaizhi, Jin, Zeyu, Hasegawa-Johnson, Mark, Mysore, Gautham J.

    ISSN: 2379-190X
    Published: IEEE 01.05.2020
    “… Recently, AU-TOVC, a conditional autoencoders (CAEs) based method achieved state-of-the-art results by disentangling the speaker identity and speech content using…”
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    Conference Proceeding
  3. 3

    Inverse structural design with generative and probabilistic autoencoders and diffusion models by Zhuang, Bozhou, Gallet, Adrien, Smyl, Danny

    ISSN: 0952-1976
    Published: Elsevier Ltd 01.12.2025
    “… Three generative ML models, including conditional variational autoencoder (CVAE), conditional autoencoder with maximum likelihood estimation (CAE-MLE…”
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    Journal Article
  4. 4

    Unknown Cyber Threat Discovery Empowered by Genetic Evolution Without Prior Knowledge by Fang, Wenbo, He, Junjiang, Li, Wenshan, Ma, Wengang, Zhang, Linlin, Lan, Xiaolong, Yang, Geying, Chen, Jiangchuan, Li, Tao

    ISSN: 1556-6013, 1556-6021
    Published: IEEE 2025
    “…With the continuous development of cyber-attack technologies, attackers increasingly exploit zero-day vulnerabilities or leverage emerging techniques to launch…”
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    Journal Article
  5. 5

    F0-consistent many-to-many non-parallel voice conversion via conditional autoencoder by Qian, Kaizhi, Jin, Zeyu, Hasegawa-Johnson, Mark, Mysore, Gautham J

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 15.04.2020
    Published in arXiv.org (15.04.2020)
    “… Recently, AutoVC, a conditional autoencoders (CAEs) based method achieved state-of-the-art results by disentangling the speaker identity and speech content using…”
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    Paper