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Contents:

  • Introduction
  • Background Theory
  • Numerical Examples
    • LINFA Tutorial 1 - Two dimensions
    • LINFA Tutorial 2 - Three dimensions
    • Simple two-dimensional map with Gaussian likelihood
    • High-dimensional Sobol’ Function
    • Two-element Windkessel Model
    • Three-element Wndkessel Model
    • Friedman 1 model
  • LINFA options
  • Modules for the LINFA library
  • Bibliography
linfa
  • Numerical Examples
  • Edit on GitHub

Numerical Examples

  • LINFA Tutorial 1 - Two dimensions
    • Tutorial outline
    • Additional Resources
    • Problem definition
    • Variational inference with full model
    • Variational inference with neural network surrogate model
  • LINFA Tutorial 2 - Three dimensions
    • Tutorial outline
    • Additional Resources
    • Problem definition
    • Generation of synthetic data
    • Check for Gradient Calculation
    • Variational inference with full model
    • AdaAnn: An adaptive annealing scheduler
    • NoFAS: Normalizing flow with an adaptively trained surrogate
  • Simple two-dimensional map with Gaussian likelihood
  • High-dimensional Sobol’ Function
  • Two-element Windkessel Model
  • Three-element Wndkessel Model
  • Friedman 1 model
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© Copyright 2023, Yu Wang, Emma R. Cobian, Jubilee Lee, Fang Liu, Jonathan D. Hauenstein, Daniele E. Schiavazzi. Revision c9c5939a.

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