Birs- 17w5140: Data-Driven Methods for Reduced-Order Modeling and Stochastic Partial Differential Equations
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Title: Sparse sensing and dimensionality reduction in neuroscience
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Title: Adapting equation-free modeling techniques for modern infectious disease data
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Title: Randomized model order reduction
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Title: Modelling of 3D shape spaces from limited data
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Title: Density Tracking by Quadrature for SDE Inference
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Title: Data-Driven Discovery and Control of Nonlinear Dynamical Systems
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Title: A Representation Theory Perspective on Simultaneous Alignment and Classification
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Title: Data-driven discovery of partial differential equations
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Title: Kernel Analog Forecasting with Applications to Intra-seasonal Tropical Oscillations
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Title: Dynamic Mode Decomposition Reveals Low-Dimensional Structure and a Hierarchy of Timescales in C. elegans Neural Dynamics
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Title: In pursuit of more reductions in RBM for convection type problems
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Title: Structure-preserving model reduction for nonlinear finite-volume models
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Title: Closure Modeling for Reduced Order Models of Multi-Scale Problems
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Title: Parametric Model Order Reduction or Uncertainty Quantification?
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Title: Innovative Model Reduction Based Computational Technologies for Complex Engineering Problems: Progress, Results and Challenges
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Title: Data-driven modeling for control of systems with time-varying and uncertain parameters
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Title: Efficient PDE-Constrained Optimization under Uncertainty using Adaptive Model Reduction and Sparse Grids
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Title: Network-based modeling and control of unsteady fluid flows
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Title: What to interpolate for optimal model reduction: Moving from linear to nonlinear dynamics
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Title: Koopman Meets Bellman: Another Route to Control Using Data-Driven Kooman Analysis
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