Search Results - Fanaskov, Vladimir

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  1. 1
    Uncertainty calibration for probabilistic projection methods

    Uncertainty calibration for probabilistic projection methods by Fanaskov, Vladimir

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  2. 2
    Gaussian Belief Propagation Solvers for Nonsymmetric Systems of Linear Equations

    Gaussian Belief Propagation Solvers for Nonsymmetric Systems of Linear Equations by Fanaskov, Vladimir

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  3. 3
    Direct optimization of BPX preconditioners

    Direct optimization of BPX preconditioners by Oseledets, Ivan, Fanaskov, Vladimir

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  4. 4
    Neural Multigrid Architectures

    Neural Multigrid Architectures by Fanaskov, Vladimir

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  5. 5
    Uncertainty calibration for probabilistic projection methods

    Uncertainty calibration for probabilistic projection methods by Fanaskov, Vladimir

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  6. 6
    Neural Multigrid Architectures

    Neural Multigrid Architectures by Fanaskov, Vladimir

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  7. 7
    Direct optimization of BPX preconditioners

    Direct optimization of BPX preconditioners by Fanaskov, Vladimir, Oseledets, Ivan

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  8. 8
    Associative memory and dead neurons

    Associative memory and dead neurons by Fanaskov, Vladimir, Oseledets, Ivan

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  9. 9
    Gaussian belief propagation solvers for nonsymmetric systems of linear equations

    Gaussian belief propagation solvers for nonsymmetric systems of linear equations by Fanaskov, Vladimir

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  10. 10
    Neural functional a posteriori error estimates

    Neural functional a posteriori error estimates by Fanaskov, Vladimir, Rudikov, Alexander, Oseledets, Ivan

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  11. 11
    Astral: training physics-informed neural networks with error majorants

    Astral: training physics-informed neural networks with error majorants by Fanaskov, Vladimir, Yu, Tianchi, Rudikov, Alexander, Oseledets, Ivan

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  12. 12
    General Covariance Data Augmentation for Neural PDE Solvers

    General Covariance Data Augmentation for Neural PDE Solvers by Fanaskov, Vladimir, Yu, Tianchi, Rudikov, Alexander, Oseledets, Ivan

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  13. 13
    Neural operators meet conjugate gradients: The FCG-NO method for efficient PDE solving

    Neural operators meet conjugate gradients: The FCG-NO method for efficient PDE solving by Rudikov, Alexander, Fanaskov, Vladimir, Muravleva, Ekaterina, Laevsky, Yuri M, Oseledets, Ivan

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