SUQ: Streamlined Uncertainty Quantification

This repository contains an open-source library implementation of Streamlined Uncertainty Quantification (SUQ) used in the paper Streamlining Prediction in Bayesian Deep Learning accepted at ICLR 2025.

Streamlining Prediction in Bayesian Deep Learning Rui Li, Marcus Klasson, Arno Solin, Martin Trapp International Conference on Learning Representations (ICLR 2025)

SUQ Library

The code will be released soon.

Citation

@inproceedings{li2025streamlining,
  title = {Streamlining Prediction in Bayesian Deep Learning},
  author = {Rui Li, Marcus Klasson, Arno Solin and Martin Trapp},
  booktitle = {International Conference on Learning Representations ({ICLR})},
  year = {2025}
}

License

This software is provided under the MIT license.