Diffusion Generative Models in Infinite Dimensions

This repo contains the code for Diffusion Generative Models in Infinite Dimensions, appearing at AISTATS 2023.

See here for an arXiv version of our paper.

Environment and Setup

Clone the repo and create a conda environment:

conda env create -f environment.yml

This environment assumes you have a cuda 11.3 compatible GPU. A workaround for cpu-only machines is to replace - cudatoolkit=11.3 with - cpuonly in environment.yml, followed by creating the environment as above.

Citation

If you found our paper or code useful, please consider citing our work as follows:

@inproceedings{kerrigan2023diffusion,
  author={Kerrigan, Gavin and Ley, Justin and Smyth, Padhraic},
  title={Diffusion Generative Models in Infinite Dimensions},
  booktitle={International Conference on Artificial Intelligence and Statistics},
  year={2023}
}