Výsledky vyhledávání - "generative autoencoder"

  1. 1

    Dual Contradistinctive Generative Autoencoder Autor Parmar, Gaurav, Li, Dacheng, Lee, Kwonjoon, Tu, Zhuowen

    ISSN: 1063-6919
    Vydáno: IEEE 01.06.2021
    “…We present a new generative autoencoder model with dual contradistinctive losses to improve generative autoencoder that performs simultaneous inference (reconstruction) and synthesis (sampling…”
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  2. 2

    Application of Generative Autoencoder in De Novo Molecular Design Autor Blaschke, Thomas, Olivecrona, Marcus, Engkvist, Ola, Bajorath, Jürgen, Chen, Hongming

    ISSN: 1868-1743, 1868-1751, 1868-1751
    Vydáno: Germany Wiley Subscription Services, Inc 01.01.2018
    Vydáno v Molecular informatics (01.01.2018)
    “… Various generative autoencoders were used to map molecule structures into a continuous latent space and vice versa and their performance as structure generator was assessed…”
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  3. 3

    Real-Time Traffic Speed Estimation With Graph Convolutional Generative Autoencoder Autor Yu, James Jian Qiao, Gu, Jiatao

    ISSN: 1524-9050, 1558-0016
    Vydáno: New York IEEE 01.10.2019
    “… In this paper, we present a novel deep-learning model called graph convolutional generative autoencoder to fully address the real-time traffic speed estimation problem…”
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  4. 4

    A novel spatial–temporal generative autoencoder for wind speed uncertainty forecasting Autor Ma, Long, Huang, Ling, Shi, Huifeng

    ISSN: 0360-5442
    Vydáno: 01.11.2023
    Vydáno v Energy (Oxford) (01.11.2023)
    “…–temporal generative autoencoder (STGAE) model to capture the continuous probability distribution of each wind turbine on an arbitrary graph structure…”
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  5. 5

    Semisupervised Generative Autoencoder for Single-Cell Data Autor Trong, Trung Ngo, Mehtonen, Juha, González, Gerardo, Kramer, Roger, Hautamäki, Ville, Heinäniemi, Merja

    ISSN: 1557-8666, 1557-8666
    Vydáno: United States 01.08.2020
    Vydáno v Journal of computational biology (01.08.2020)
    “… process, thus forming a SemI-SUpervised generative Autoencoder (SISUA) model. The generative model is based on the deep variational autoencoder (VAE…”
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  6. 6

    Evolutionary design of conductive pathways using a generative autoencoder Autor Ignuta-Ciuncanu, Matei C., Stärk, Hannes, Martinez-Botas, Ricardo F.

    ISSN: 0735-1933
    Vydáno: Elsevier Ltd 01.08.2025
    “…To enhance performance and energy efficiency in compact electronic systems, effective thermal management through miniaturized heat sinks is essential. This…”
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  7. 7

    Prior Images Guided Generative Autoencoder Model for Dual-Camera Compressive Spectral Imaging Autor Chen, Yurong, Wang, Yaonan, Zhang, Hui

    ISSN: 1051-8215, 1558-2205
    Vydáno: New York IEEE 01.09.2024
    “…Compressive Spectral Imaging (CSI) techniques have attracted considerable attention among researchers for their ability to simultaneously capture spatial and…”
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  8. 8

    Quantized Generative Autoencoder for Audio Spectrograms Autor Cebedio, M. Celeste, Rabioglio, Lucas A., Micco, Luciana De

    ISSN: 1943-0663, 1943-0671
    Vydáno: IEEE 2025
    “…This study analyzes techniques for compressing generative autoencoders to enable their deployment on resource-constrained devices, addressing the challenges and optimizations required for such environments…”
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  9. 9

    Generative autoencoder to prevent overregularization of variational autoencoder Autor Ko, YoungMin, Ko, SunWoo, Kim, YoungSoo

    ISSN: 1225-6463, 2233-7326
    Vydáno: Electronics and Telecommunications Research Institute (ETRI) 01.02.2025
    Vydáno v ETRI journal (01.02.2025)
    “… We propose a generative autoencoder (GAE) that uses an autoencoder to first minimize the reconstruction error and then estimate the distribution…”
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  10. 10

    Component-aware generative autoencoder for structure hybrid and shape completion Autor Zhang, Fan, Fu, Qiang, Liu, Yang, Li, Xueming

    ISSN: 1524-0703, 1524-0711
    Vydáno: Elsevier Inc 01.10.2023
    Vydáno v Graphical models (01.10.2023)
    “… In this paper, we propose a novel generative autoencoder that tackles the component combinations for 3D modeling of man-made objects…”
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  11. 11

    A neural generative autoencoder for bilingual word embeddings Autor Su, Jinsong, Wu, Shan, Zhang, Biao, Wu, Changxing, Qin, Yue, Xiong, Deyi

    ISSN: 0020-0255, 1872-6291
    Vydáno: Elsevier Inc 01.01.2018
    Vydáno v Information sciences (01.01.2018)
    “…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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  12. 12

    Generative autoencoder to prevent overregularization of variational autoencoder Autor YoungMin Ko, SunWoo Ko, YoungSoo Kim

    ISSN: 1225-6463, 2233-7326
    Vydáno: 2025
    Vydáno v ETRI journal (2025)
    “… We propose a generative autoencoder (GAE) that uses an autoencoder to first minimize the reconstruction error and then estimate the distribution…”
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  13. 13

    Physics-Informed Graph Capsule Generative Autoencoder for Probabilistic AC Optimal Power Flow Autor Saffari, Mohsen, Khodayar, Mahdi, Khodayar, Mohammad E.

    ISSN: 2471-285X, 2471-285X
    Vydáno: IEEE 01.10.2024
    “…Due to the increasing demand for electricity and the inherent uncertainty in power generation, finding efficient solutions to the stochastic alternating…”
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  14. 14

    Privacy-Preserving High-dimensional Data Collection with Federated Generative Autoencoder Autor Jiang, Xue, Zhou, Xuebing, Grossklags, Jens

    ISSN: 2299-0984, 2299-0984
    Vydáno: Sciendo 01.01.2022
    “…Business intelligence and AI services often involve the collection of copious amounts of multidimensional personal data. Since these data usually contain…”
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  15. 15

    Generative Autoencoder Kernels on Deep Learning for Brain Activity Analysis Autor ALTAN, Gokhan, KUTLU, Yakup

    ISSN: 2458-8989, 2458-8989
    Vydáno: 10.10.2018
    Vydáno v Natural and engineering sciences (10.10.2018)
    “…Deep Learning (DL) is a two-step classification model that consists feature learning, generating feature representations using unsupervised ways and the…”
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  16. 16

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

    ISSN: 1527-974X, 1527-974X
    Vydáno: England 01.09.2020
    “… In this article, we aim to learn and synthesize realistic sequences of EHRs based on the generative autoencoder…”
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  17. 17

    MEGA: Masked Generative Autoencoder for Human Mesh Recovery Autor Fiche, Guenole, Leglaive, Simon, Alameda-Pineda, Xavier, Moreno-Noguer, Francesc

    ISSN: 1063-6919
    Vydáno: IEEE 10.06.2025
    “… We introduce MEGA, a MaskEd Generative Autoencoder trained to recover human meshes from images…”
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  18. 18

    AI-Driven De Novo Design and Molecular Modeling for Discovery of Small-Molecule Compounds as Potential Drug Candidates Targeting SARS-CoV-2 Main Protease Autor Andrianov, Alexander M., Shuldau, Mikita A., Furs, Konstantin V., Yushkevich, Artsemi M., Tuzikov, Alexander V.

    ISSN: 1422-0067, 1661-6596, 1422-0067
    Vydáno: Switzerland MDPI AG 29.04.2023
    “…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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  19. 19

    Dual Contradistinctive Generative Autoencoder Autor Parmar, Gaurav, Li, Dacheng, Lee, Kwonjoon, Tu, Zhuowen

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 19.11.2020
    Vydáno v arXiv.org (19.11.2020)
    “…We present a new generative autoencoder model with dual contradistinctive losses to improve generative autoencoder that performs simultaneous inference (reconstruction) and synthesis (sampling…”
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  20. 20

    MEGA: Masked Generative Autoencoder for Human Mesh Recovery Autor Fiche, Guénolé, Leglaive, Simon, Alameda-Pineda, Xavier, Moreno-Noguer, Francesc

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 14.11.2024
    Vydáno v arXiv.org (14.11.2024)
    “… We introduce MEGA, a MaskEd Generative Autoencoder trained to recover human meshes from images…”
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    Paper