Hasil Pencarian - Ashesh Chattopadhyay

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  1. 1
    Data‐Driven Super‐Parameterization Using Deep Learning: Experimentation With Multiscale Lorenz 96 Systems and Transfer Learning

    Data‐Driven Super‐Parameterization Using Deep Learning: Experimentation With Multiscale Lorenz 96 Systems and Transfer Learning oleh Ashesh Chattopadhyay, Adam Subel, Pedram Hassanzadeh

    Diterbitkan 2020-11-01
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  2. 2
    Analog Forecasting of Extreme‐Causing Weather Patterns Using Deep Learning

    Analog Forecasting of Extreme‐Causing Weather Patterns Using Deep Learning oleh Ashesh Chattopadhyay, Ebrahim Nabizadeh, Pedram Hassanzadeh

    Diterbitkan 2020-02-01
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  3. 3
    Interpretable Structural Model Error Discovery From Sparse Assimilation Increments Using Spectral Bias‐Reduced Neural Networks: A Quasi‐Geostrophic Turbulence Test Case

    Interpretable Structural Model Error Discovery From Sparse Assimilation Increments Using Spectral Bias‐Reduced Neural Networks: A Quasi‐Geostrophic Turbulence Test Case oleh Rambod Mojgani, Ashesh Chattopadhyay, Pedram Hassanzadeh

    Diterbitkan 2024-03-01
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  4. 4
    Transfer learning of deep neural networks for predicting thermoacoustic instabilities in combustion systems

    Transfer learning of deep neural networks for predicting thermoacoustic instabilities in combustion systems oleh Sudeepta Mondal, Ashesh Chattopadhyay, Achintya Mukhopadhyay, Asok Ray

    Diterbitkan 2021-09-01
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  5. 5
    Long-term stability and generalization of observationally-constrained stochastic data-driven models for geophysical turbulence

    Long-term stability and generalization of observationally-constrained stochastic data-driven models for geophysical turbulence oleh Ashesh Chattopadhyay, Jaideep Pathak, Ebrahim Nabizadeh, Wahid Bhimji, Pedram Hassanzadeh

    Diterbitkan 2023-01-01
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  6. 6
    Learning Closed‐Form Equations for Subgrid‐Scale Closures From High‐Fidelity Data: Promises and Challenges

    Learning Closed‐Form Equations for Subgrid‐Scale Closures From High‐Fidelity Data: Promises and Challenges oleh Karan Jakhar, Yifei Guan, Rambod Mojgani, Ashesh Chattopadhyay, Pedram Hassanzadeh

    Diterbitkan 2024-07-01
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  7. 7
    OceanNet: a principled neural operator-based digital twin for regional oceans

    OceanNet: a principled neural operator-based digital twin for regional oceans oleh Ashesh Chattopadhyay, Michael Gray, Tianning Wu, Anna B. Lowe, Ruoying He

    Diterbitkan 2024-09-01
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  8. 8
    Data Imbalance, Uncertainty Quantification, and Transfer Learning in Data‐Driven Parameterizations: Lessons From the Emulation of Gravity Wave Momentum Transport in WACCM

    Data Imbalance, Uncertainty Quantification, and Transfer Learning in Data‐Driven Parameterizations: Lessons From the Emulation of Gravity Wave Momentum Transport in WACCM oleh Y. Qiang Sun, Hamid A. Pahlavan, Ashesh Chattopadhyay, Pedram Hassanzadeh, Sandro W. Lubis, M. Joan Alexander, Edwin P. Gerber, Aditi Sheshadri, Yifei Guan

    Diterbitkan 2024-07-01
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