Search Results - Bacsa, Kiran

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  1. 1
    Structural Dynamics Feature Learning Using a Supervised Variational Autoencoder

    Structural Dynamics Feature Learning Using a Supervised Variational Autoencoder by Bacsa, Kiran, Liu, Wei, Abdallah, Imad, Chatzi, Eleni

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  2. 2
    Symplectic encoders for physics-constrained variational dynamics inference

    Symplectic encoders for physics-constrained variational dynamics inference by Bacsa, Kiran, Lai, Zhilu, Liu, Wei, Todd, Michael, Chatzi, Eleni

    Published in Scientific reports
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  3. 3
    A Robotic Automated Solution for Operational Modal Analysis of Bridges with High-Resolution Mode Shape Recovery

    A Robotic Automated Solution for Operational Modal Analysis of Bridges with High-Resolution Mode Shape Recovery by Jian, Xudong, Lai, Zhilu, Bacsa, Kiran, Fu, Yuguang, Koh, Chan Ghee, Sun, Limin, Wieser, Andreas, Chatzi, Eleni

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  4. 4
    Discussing the spectrum of physics-enhanced machine learning: a survey on structural mechanics applications

    Discussing the spectrum of physics-enhanced machine learning: a survey on structural mechanics applications by Haywood-Alexander, Marcus, Liu, Wei, Bacsa, Kiran, Lai, Zhilu, Chatzi, Eleni

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  5. 5
    Neural modal ordinary differential equations: Integrating physics-based modeling with neural ordinary differential equations for modeling high-dimensional monitored structures

    Neural modal ordinary differential equations: Integrating physics-based modeling with neural ordinary differential equations for modeling high-dimensional monitored structures by Lai, Zhilu, Liu, Wei, Jian, Xudong, Bacsa, Kiran, Sun, Limin, Chatzi, Eleni

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  6. 6
    Physics-guided Deep Markov Models for learning nonlinear dynamical systems with uncertainty

    Physics-guided Deep Markov Models for learning nonlinear dynamical systems with uncertainty by Liu, Wei, Lai, Zhilu, Bacsa, Kiran, Chatzi, Eleni

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  7. 7
    Neural extended Kalman filters for learning and predicting dynamics of structural systems

    Neural extended Kalman filters for learning and predicting dynamics of structural systems by Liu, Wei, Lai, Zhilu, Bacsa, Kiran, Chatzi, Eleni

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  8. 8
    Neural Extended Kalman Filters for Learning and Predicting Dynamics of Structural Systems

    Neural Extended Kalman Filters for Learning and Predicting Dynamics of Structural Systems by Liu, Wei, Lai, Zhilu, Bacsa, Kiran, Chatzi, Eleni

    Published in arXiv.org
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  9. 9
    Physics-guided Deep Markov Models for Learning Nonlinear Dynamical Systems with Uncertainty

    Physics-guided Deep Markov Models for Learning Nonlinear Dynamical Systems with Uncertainty by Liu, Wei, Lai, Zhilu, Bacsa, Kiran, Chatzi, Eleni

    Published in arXiv.org
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  10. 10
    Neural modal ordinary differential equations: Integrating physics-based modeling with neural ordinary differential equations for modeling high-dimensional monitored structures

    Neural modal ordinary differential equations: Integrating physics-based modeling with neural ordinary differential equations for modeling high-dimensional monitored structures by Lai, Zhilu, Liu, Wei, Jian, Xudong, Bacsa, Kiran, Sun, Limin, Chatzi, Eleni

    Published in arXiv.org
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  11. 11
    Using Graph Neural Networks and Frequency Domain Data for Automated Operational Modal Analysis of Populations of Structures

    Using Graph Neural Networks and Frequency Domain Data for Automated Operational Modal Analysis of Populations of Structures by Jian, Xudong, Xia, Yutong, Duthé, Gregory, Bacsa, Kiran, Liu, Wei, Chatzi, Eleni

    Published in arXiv.org
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  12. 12
    Discussing the Spectrum of Physics-Enhanced Machine Learning; a Survey on Structural Mechanics Applications

    Discussing the Spectrum of Physics-Enhanced Machine Learning; a Survey on Structural Mechanics Applications by Haywood-Alexander, Marcus, Liu, Wei, Bacsa, Kiran, Lai, Zhilu, Chatzi, Eleni

    Published in arXiv.org
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