Výsledky vyhledávání - conditional variational autoencoder(cae)~

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  1. 1

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

    ISSN: 2073-8994, 2073-8994
    Vydáno: Basel MDPI AG 01.07.2024
    Vydáno v 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 Autor Qian, Kaizhi, Jin, Zeyu, Hasegawa-Johnson, Mark, Mysore, Gautham J.

    ISSN: 2379-190X
    Vydáno: 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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    Konferenční příspěvek
  3. 3

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

    ISSN: 0952-1976
    Vydáno: 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 Autor Fang, Wenbo, He, Junjiang, Li, Wenshan, Ma, Wengang, Zhang, Linlin, Lan, Xiaolong, Yang, Geying, Chen, Jiangchuan, Li, Tao

    ISSN: 1556-6013, 1556-6021
    Vydáno: 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 Autor Qian, Kaizhi, Jin, Zeyu, Hasegawa-Johnson, Mark, Mysore, Gautham J

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 15.04.2020
    Vydáno v 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