Birs- 17w5140: Data-Driven Methods for Reduced-Order Modeling and Stochastic Partial Differential Equations

  1. Title:
    Sparse sensing and dimensionality reduction in neuroscience

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  2. Title:
    Adapting equation-free modeling techniques for modern infectious disease data

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    Randomized model order reduction

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    Modelling of 3D shape spaces from limited data

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  5. Title:
    Density Tracking by Quadrature for SDE Inference

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    Data-Driven Discovery and Control of Nonlinear Dynamical Systems

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  7. Title:
    A Representation Theory Perspective on Simultaneous Alignment and Classification

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  8. Title:
    Data-driven discovery of partial differential equations

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  9. Title:
    Kernel Analog Forecasting with Applications to Intra-seasonal Tropical Oscillations

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  10. Title:
    Dynamic Mode Decomposition Reveals Low-Dimensional Structure and a Hierarchy of Timescales in C. elegans Neural Dynamics

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  11. Title:
    In pursuit of more reductions in RBM for convection type problems

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  12. Title:
    Structure-preserving model reduction for nonlinear finite-volume models

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  13. Title:
    Closure Modeling for Reduced Order Models of Multi-Scale Problems

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  14. Title:
    Parametric Model Order Reduction or Uncertainty Quantification?

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  15. Title:
    Innovative Model Reduction Based Computational Technologies for Complex Engineering Problems: Progress, Results and Challenges

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  16. Title:
    Data-driven modeling for control of systems with time-varying and uncertain parameters

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  17. Title:
    Efficient PDE-Constrained Optimization under Uncertainty using Adaptive Model Reduction and Sparse Grids

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  18. Title:
    Network-based modeling and control of unsteady fluid flows

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  19. Title:
    What to interpolate for optimal model reduction: Moving from linear to nonlinear dynamics

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  20. Title:
    Koopman Meets Bellman: Another Route to Control Using Data-Driven Kooman Analysis

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