LINFA library documentation

Contents:

• Introduction
• Background Theory
  • Variational Inference with Normalizing Flow
  • MAF and RealNVP
  • Normalizing flow with adaptive surrogate (NoFAS)
  • Adaptive Annealing
• 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
• LINFA options
• Modules for the LINFA library
  • NoFAS Module
    • Surrogate
    • test_surrogate()
  • Normalizing Flow Module
    • BatchNorm
    • FlowSequential
    • LinearMaskedCoupling
    • MADE
    • MAF
    • MaskedLinear
    • RealNVP
    • create_masks()
  • Experiment Class
    • experiment
  • Post-processing and plotting
• Bibliography

Indices and Tables

• Index

• Module Index

• Search Page