Citing GPyConform

If you use GPyConform for a scientific publication, you are kindly requested to cite the following paper:

Harris Papadopoulos. “GPyConform: Conformal Prediction with Gaussian Process Regression in Python”. In: K. An Nguyen, Z. Luo (eds), The Importance of Being Learnable, Lecture Notes in Computer Science, vol. 16290, pp. 449–466. Springer, 2026. DOI: 10.1007/978-3-032-15120-9_20.

Bibtex entry:

@Inbook{gpyconform,
author="Papadopoulos, Harris",
editor="An Nguyen, Khuong and Luo, Zhiyuan",
title="GPyConform: Conformal Prediction with Gaussian Process Regression in Python",
bookTitle="The Importance of Being Learnable: Essays Dedicated to Alexander Gammerman",
year="2026",
publisher="Springer Nature Switzerland",
address="Cham",
pages="449--466",
isbn="978-3-032-15120-9",
doi="10.1007/978-3-032-15120-9_20",
url="https://doi.org/10.1007/978-3-032-15120-9_20"
}

For the Gaussian Process Regression Conformal Prediction approach and nonconformity measure, please also cite:

Harris Papadopoulos. “Guaranteed Coverage Prediction Intervals with Gaussian Process Regression”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 46, no. 12, pp. 9072-9083, Dec. 2024. DOI: 10.1109/TPAMI.2024.3418214. (arXiv version)

Bibtex entry:

@ARTICLE{gprcp,
  author={Papadopoulos, Harris},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, 
  title={Guaranteed Coverage Prediction Intervals with Gaussian Process Regression}, 
  year={2024},
  volume={46},
  number={12},
  pages={9072-9083},
  doi={10.1109/TPAMI.2024.3418214}
}