# Missing Value Uncertainty
Code implementation for Estimating and Evaluating Second-Order Uncertainty due to Missing Values at Inference Time.

Code is written in Python 3.9.18, it is not tested in later versions. See `requirements.txt` for package requirements.

Root level Python scripts are meant to be run directly for experiments, while the `mvu/` folder contains code implementing our work.

`CoPaint/` contains slightly modified code from *Towards Coherent Image Inpainting Using Denoising Diffusion Implicit Models*, used for the diffusion model baselines.

See `scripts/` for examples of how to use the root level Python scripts along with relevant setup scripts.

See `models/` for the arguments and training logs from models used for this paper. `results/` contains experiment arguments and results, plus computed calibration constants.