Search Results - transformer-based conditioning variational autoencoder~

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  1. 1

    Trans-cVAE-GAN: Transformer-Based cVAE-GAN for High-Fidelity EEG Signal Generation by Yao, Yiduo, Wang, Xiao, Hao, Xudong, Sun, Hongyu, Dong, Ruixin, Li, Yansheng

    ISSN: 2306-5354, 2306-5354
    Published: Switzerland MDPI AG 26.09.2025
    Published in Bioengineering (Basel) (26.09.2025)
    “…, limiting their effectiveness in emotion-related applications. To address these challenges, this research proposes a Transformer-based conditional variational autoencoder…”
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    Journal Article
  2. 2

    Video Variational Deep Atmospheric Turbulence Correction by Lopez-Tapia, Santiago, Wang, Xijun, Katsaggelos, Aggelos K.

    ISSN: 2169-3536, 2169-3536
    Published: Piscataway IEEE 2024
    Published in IEEE access (2024)
    “… We achieve this objective by conditioning the model on features extracted by a variational autoencoder (VAE…”
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    Journal Article
  3. 3

    Automatic Medical Report Generation via Latent Space Conditioning and Transformers by Adornetto, Carlo, Guzzo, Antonella, Vasile, Andrea

    ISSN: 2837-0740
    Published: IEEE 14.11.2023
    “… Our architecture combines Variational Autoencoder (VAE) and Generative Pre-trained Transformer (GPT), to generate high-quality medical reports…”
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    Conference Proceeding
  4. 4

    Geometry-invariant abnormality detection by Patel, Ashay, Tudosiu, Petru-Daniel, Pinaya, Walter Hugo Lopez, Adeleke, Olusola, Cook, Gary, Goh, Vicky, Ourselin, Sebastien, Cardoso, M Jorge

    Published: Germany 01.01.2023
    “… We propose a new spatial conditioning mechanism that enables models to adapt and learn from varying data geometries, and apply it to a state-of-the-art Vector-Quantized Variational Autoencoder…”
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    Journal Article
  5. 5

    Data-Driven Modeling for Load Profile Analysis by Kim, Hyeonjin

    ISBN: 9798297622869
    Published: ProQuest Dissertations & Theses 01.01.2025
    “…This dissertation explores innovative data-driven methodologies for load profile analysis, spanning HVAC load disaggregation, Vision Transformer-based load representation learning for household…”
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    Dissertation
  6. 6

    Language Models are Realistic Tabular Data Generators by Borisov, Vadim, Seßler, Kathrin, Leemann, Tobias, Pawelczyk, Martin, Kasneci, Gjergji

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 22.04.2023
    Published in arXiv.org (22.04.2023)
    “… While many generative models from the computer vision domain, such as variational autoencoders or generative adversarial networks, have been adapted for tabular data generation, less research…”
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    Paper