Skip to content

Official code for [Fast Compartment Model Calibration using Annealed and Transformed Variational Inference]

License

Notifications You must be signed in to change notification settings

CrawlingKiming/AdVI

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

12 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Annealed and Transformed Variational Inference

Official code for [Fast Computer Model Calibration using Annealed and Transformed Variational Inference]

image1

ATVI adopts surjective function and temperature annealing to avoid inferential challenges in a naive VI approach in calibration tasks.

This code relies on the NF model package from the SurVAE library. To start with, you must install the SurVAE library.

Installation

In the folder containing setup.py, run

pip install .

Experiments

To train or evaluate model, please check /experiments.

Paper

The original paper can be found here: *https://www.tandfonline.com/doi/full/10.1080/10618600.2024.2374962

Acknowledgements

I would like to thank the authors who provide useful repositories. Mainly,

About

Official code for [Fast Compartment Model Calibration using Annealed and Transformed Variational Inference]

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published