Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Enhancing Neural Network Explainability with Variational Autoencoders


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

    Conference:

    AIAA SciTech Forum ; 2021 ; Virtual, US


    Type of media :

    Miscellaneous


    Type of material :

    No indication


    Language :

    English




    ENHANCING NEURAL NETWORK EXPLAINABILITY WITH VARIATIONAL AUTOENCODERS

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


    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