@article {CaltechAUTHORS_https://authors.library.caltech.edu/id/eprint/118577,
    title ="Second Order Ensemble Langevin Method for Sampling and Inverse Problems",
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@article {CaltechAUTHORS_https://authors.library.caltech.edu/id/eprint/112987,
    title ="Ensemble-Based Experimental Design for Targeted High-Resolution Simulations to Inform Climate Models",
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@article {CaltechAUTHORS_https://authors.library.caltech.edu/id/eprint/114901,
    title ="Convergence Rates for Learning Linear Operators from Noisy Data",
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    month = "August",
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@article {CaltechAUTHORS_https://authors.library.caltech.edu/id/eprint/110666,
    title ="Neural Operator: Learning Maps Between Function Spaces",
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    journal = "arXiv",
    
    
    
    month = "August",
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@article {CaltechAUTHORS_https://authors.library.caltech.edu/id/eprint/109919,
    title ="A Framework for Machine Learning of Model Error in Dynamical Systems",
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@article {CaltechAUTHORS_https://authors.library.caltech.edu/id/eprint/109918,
    title ="Learning Dissipative Dynamics in Chaotic Systems",
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@article {CaltechAUTHORS_https://authors.library.caltech.edu/id/eprint/106480,
    title ="Fourier Neural Operator for Parametric Partial Differential Equations",
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@article {CaltechAUTHORS_https://authors.library.caltech.edu/id/eprint/106562,
    title ="Ensemble Kalman Inversion for Sparse Learning of Dynamical Systems from Time-Averaged Data",
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@article {CaltechAUTHORS_https://authors.library.caltech.edu/id/eprint/103483,
    title ="Model Reduction and Neural Networks for Parametric PDEs",
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@article {CaltechAUTHORS_https://authors.library.caltech.edu/id/eprint/106558,
    title ="Learning Stochastic Closures Using Ensemble Kalman Inversion",
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@article {CaltechAUTHORS_https://authors.library.caltech.edu/id/eprint/102271,
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@article {CaltechAUTHORS_https://authors.library.caltech.edu/id/eprint/106557,
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@article {CaltechAUTHORS_https://authors.library.caltech.edu/id/eprint/97317,
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@article {CaltechAUTHORS_https://authors.library.caltech.edu/id/eprint/97329,
    title ="Hyperparameter Estimation in Bayesian MAP Estimation: Parameterizations and Consistency",
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@article {CaltechAUTHORS_https://authors.library.caltech.edu/id/eprint/94459,
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