Search Results - Duchemin, Quentin

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  1. 1
    Three rates of convergence or separation via U-statistics in a dependent framework

    Three rates of convergence or separation via U-statistics in a dependent framework by Duchemin, Quentin, de Castro, Yohann, Lacour, Claire

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  2. 2
    Markov random geometric graph, MRGG: A growth model for temporal dynamic networks

    Markov random geometric graph, MRGG: A growth model for temporal dynamic networks by Duchemin, Quentin, De Castro, Yohann

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  3. 3
    Markov Random Geometric Graph (MRGG): A Growth Model for Temporal Dynamic Networks

    Markov Random Geometric Graph (MRGG): A Growth Model for Temporal Dynamic Networks by Duchemin, Quentin, de Castro, Yohann

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  4. 4
    Cramér–Rao bound‐informed training of neural networks for quantitative MRI

    Cramér–Rao bound‐informed training of neural networks for quantitative MRI by Zhang, Xiaoxia, Duchemin, Quentin, Liu, Kangning, Gultekin, Cem, Flassbeck, Sebastian, Fernandez‐Granda, Carlos, Assländer, Jakob

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  5. 5
    Rapid quantitative magnetization transfer imaging: Utilizing the hybrid state and the generalized Bloch model

    Rapid quantitative magnetization transfer imaging: Utilizing the hybrid state and the generalized Bloch model by Assländer, Jakob, Gultekin, Cem, Mao, Andrew, Zhang, Xiaoxia, Duchemin, Quentin, Liu, Kangning, Charlson, Robert W., Shepherd, Timothy M., Fernandez‐Granda, Carlos, Flassbeck, Sebastian

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  6. 6
    Reliable Time Prediction in the Markov Stochastic Block Model

    Reliable Time Prediction in the Markov Stochastic Block Model by Duchemin, Quentin

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  7. 7
    Markov Random Geometric Graph (MRGG): A Growth Model for Temporal Dynamic Networks

    Markov Random Geometric Graph (MRGG): A Growth Model for Temporal Dynamic Networks by Duchemin, Quentin, de Castro, Yohann

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  8. 8
    SIGLE: a valid procedure for Selective Inference with the Generalized Linear Lasso

    SIGLE: a valid procedure for Selective Inference with the Generalized Linear Lasso by Duchemin, Quentin, de Castro, Yohann

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  9. 9
    Random Geometric Graph: Some recent developments and perspectives

    Random Geometric Graph: Some recent developments and perspectives by Duchemin, Quentin, de Castro, Yohann

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  10. 10
    Rapid quantitative magnetization transfer imaging: utilizing the hybrid state and the generalized Bloch model

    Rapid quantitative magnetization transfer imaging: utilizing the hybrid state and the generalized Bloch model by Assländer, Jakob, Gultekin, Cem, Mao, Andrew, Zhang, Xiaoxia, Duchemin, Quentin, Liu, Kangning, Charlson, Robert W, Shepherd, Timothy, Fernandez-Granda, Carlos, Flassbeck, Sebastian

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  11. 11
    Three rates of convergence or separation via U-statistics in a dependent framework

    Three rates of convergence or separation via U-statistics in a dependent framework by Duchemin, Quentin, De Castro, Yohann, Lacour, Claire

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  12. 12
    Concentration inequality for U-statistics of order two for uniformly ergodic Markov chains

    Concentration inequality for U-statistics of order two for uniformly ergodic Markov chains by Duchemin, Quentin, de Castro, Yohann, Lacour, Claire

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  13. 13
    Cramér-Rao bound-informed training of neural networks for quantitative MRI

    Cramér-Rao bound-informed training of neural networks for quantitative MRI by Zhang, Xiaoxia, Duchemin, Quentin, Liu, Kangning, Flassbeck, Sebastian, Gultekin, Cem, Fernandez-Granda, Carlos, Assländer, Jakob

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