Search Results - Borovykh, Anastasia

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  1. 1
    A neural network-based framework for financial model calibration

    A neural network-based framework for financial model calibration by Liu, Shuaiqiang, Borovykh, Anastasia, Grzelak, Lech A., Oosterlee, Cornelis W.

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  2. 2
    Dilated convolutional neural networks for time series forecasting

    Dilated convolutional neural networks for time series forecasting by Borovykh, Anastasia, Bohte, Sander, Oosterlee, Cornelis W.

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  3. 3
    Optimally weighted loss functions for solving PDEs with Neural Networks

    Optimally weighted loss functions for solving PDEs with Neural Networks by van der Meer, Remco, Oosterlee, Cornelis W., Borovykh, Anastasia

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  4. 4
    Systemic risk in a mean-field model of interbank lending with self-exciting shocks

    Systemic risk in a mean-field model of interbank lending with self-exciting shocks by Borovykh, Anastasia, Pascucci, Andrea, La Rovere, Stefano

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  5. 5
    Generalization in fully-connected neural networks for time series forecasting

    Generalization in fully-connected neural networks for time series forecasting by Borovykh, Anastasia, Oosterlee, Cornelis W., Bohté, Sander M.

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  6. 6
    On a Neural Network to Extract Implied Information from American Options

    On a Neural Network to Extract Implied Information from American Options by Liu, Shuaiqiang, Leitao, Álvaro, Borovykh, Anastasia, Oosterlee, Cornelis W.

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  7. 7
    Username Squatting on Online Social Networks: A Study on X

    Username Squatting on Online Social Networks: A Study on X by Lepipas, Anastasios, Borovykh, Anastasia, Demetriou, Soteris

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  8. 8
    On original and latent space connectivity in deep neural networks

    On original and latent space connectivity in deep neural networks by Gu, Boyang, Borovykh, Anastasia

    Published in arXiv.org
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  9. 9
    Analytic expressions for the output evolution of a deep neural network

    Analytic expressions for the output evolution of a deep neural network by Borovykh, Anastasia

    Published in arXiv.org
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  10. 10
    A Gaussian Process perspective on Convolutional Neural Networks

    A Gaussian Process perspective on Convolutional Neural Networks by Borovykh, Anastasia

    Published in arXiv.org
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  11. 11
    On stochastic mirror descent with interacting particles: convergence properties and variance reduction

    On stochastic mirror descent with interacting particles: convergence properties and variance reduction by Borovykh, Anastasia, Kantas, Nikolas, Parpas, Panos, Pavliotis, Grigorios A

    Published in arXiv.org
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  12. 12
    Leave-one-out Distinguishability in Machine Learning

    Leave-one-out Distinguishability in Machine Learning by Ye, Jiayuan, Borovykh, Anastasia, Hayou, Soufiane, Shokri, Reza

    Published in arXiv.org
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  13. 13
    Stochastic Mirror Descent for Convex Optimization with Consensus Constraints

    Stochastic Mirror Descent for Convex Optimization with Consensus Constraints by Borovykh, Anastasia, Kantas, Nikolas, Parpas, Panos, Pavliotis, Grigorios A

    Published in arXiv.org
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  14. 14
    Privacy Risk for anisotropic Langevin dynamics using relative entropy bounds

    Privacy Risk for anisotropic Langevin dynamics using relative entropy bounds by Borovykh, Anastasia, Kantas, Nikolas, Parpas, Panos, Pavliotis, Greg

    Published in arXiv.org
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  15. 15
    Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs

    Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs by Malekzadeh, Mohammad, Borovykh, Anastasia, Gündüz, Deniz

    Published in arXiv.org
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  16. 16
    A neural network-based framework for financial model calibration

    A neural network-based framework for financial model calibration by Liu, Shuaiqiang, Borovykh, Anastasia, Grzelak, Lech A, Oosterlee, Cornelis W

    Published in arXiv.org
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  17. 17
    Deep Unlearn: Benchmarking Machine Unlearning

    Deep Unlearn: Benchmarking Machine Unlearning by Cadet, Xavier F, Borovykh, Anastasia, Malekzadeh, Mohammad, Ahmadi-Abhari, Sara, Haddadi, Hamed

    Published in arXiv.org
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  18. 18
    P4: Towards private, personalized, and Peer-to-Peer learning

    P4: Towards private, personalized, and Peer-to-Peer learning by Mohammad Mahdi Maheri, Siby, Sandra, Abdollahi, Sina, Borovykh, Anastasia, Haddadi, Hamed

    Published in arXiv.org
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  19. 19
    Data-driven initialization of deep learning solvers for Hamilton-Jacobi-Bellman PDEs

    Data-driven initialization of deep learning solvers for Hamilton-Jacobi-Bellman PDEs by Borovykh, Anastasia, Kalise, Dante, Laignelet, Alexis, Parpas, Panos

    Published in arXiv.org
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  20. 20
    Layer-wise Characterization of Latent Information Leakage in Federated Learning

    Layer-wise Characterization of Latent Information Leakage in Federated Learning by Fan, Mo, Borovykh, Anastasia, Malekzadeh, Mohammad, Haddadi, Hamed, Demetriou, Soteris

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