Hasil Pencarian - Juan-Esteban Suarez Cardona

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  1. 1
    Polynomial differentiation decreases the training time complexity of physics-informed neural networks and strengthens their approximation power

    Polynomial differentiation decreases the training time complexity of physics-informed neural networks and strengthens their approximation power oleh Juan-Esteban Suarez Cardona, Michael Hecht

    Diterbitkan 2023-01-01
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  2. 2
    Negative order sobolev cubatures: preconditioners of partial differential equation learning tasks circumventing numerical stiffness

    Negative order sobolev cubatures: preconditioners of partial differential equation learning tasks circumventing numerical stiffness oleh Juan-Esteban Suarez Cardona, Phil-Alexander Hofmann, Michael Hecht

    Diterbitkan 2024-01-01
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  3. 3
    Ensuring Topological Data-Structure Preservation under Autoencoder Compression Due to Latent Space Regularization in Gauss–Legendre Nodes

    Ensuring Topological Data-Structure Preservation under Autoencoder Compression Due to Latent Space Regularization in Gauss–Legendre Nodes oleh Chethan Krishnamurthy Ramanaik, Anna Willmann, Juan-Esteban Suarez Cardona, Pia Hanfeld, Nico Hoffmann, Michael Hecht

    Diterbitkan 2024-08-01
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