Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    ENHANCING NEURAL NETWORK EXPLAINABILITY WITH VARIATIONAL AUTOENCODERS


    Contributors:
    Tran, Loc (author) / Dolph, Chester (author) / Zhao, Derek (author)

    Conference:

    AIAA SciTech Forum and Exposition ; 2021 ; Online



    Publication date :

    2021


    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Enhancing Neural Network Explainability with Variational Autoencoders

    Tran, Loc / Dolph, Chester / Zhao, Derek | AIAA | 2021


    Variational Autoencoders

    Ghojogh, Benyamin / Crowley, Mark / Karray, Fakhri et al. | Springer Verlag | 2022


    Deep Tracking Portfolios Using Autoencoders and Variational Autoencoders

    Urrego, Daniel Aragón / Nieto, Oscar Eduardo Reyes / Quimbayo, Carlos Andrés Zapata | Springer Verlag | 2024


    Certifiably Robust Variational Autoencoders

    Barrett, Ben / Camuto, Alexander / Willetts, Matthew et al. | ArXiv | 2021

    Free access