Suchergebnisse - (( conditional variational autoencoder(cae) ) OR ( conditioning variational autoencoder(cae) ))

  • Treffer 1 - 5 von 5
Treffer weiter einschränken
  1. 1

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

    ISSN: 2073-8994, 2073-8994
    Veröffentlicht: Basel MDPI AG 01.07.2024
    Veröffentlicht 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 …”
    Volltext
    Journal Article
  2. 2

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

    ISSN: 2379-190X
    Veröffentlicht: 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 …”
    Volltext
    Tagungsbericht
  3. 3

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

    ISSN: 0952-1976
    Veröffentlicht: Elsevier Ltd 01.12.2025
    Veröffentlicht in Engineering applications of artificial intelligence (01.12.2025)
    “… Three generative ML models, including conditional variational autoencoder (CVAE), conditional autoencoder with maximum likelihood estimation (CAE-MLE …”
    Volltext
    Journal Article
  4. 4

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

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

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

    ISSN: 2331-8422
    Veröffentlicht: Ithaca Cornell University Library, arXiv.org 15.04.2020
    Veröffentlicht 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 …”
    Volltext
    Paper