@inproceedings{blot2025automatically,title={Automatically Adaptive Conformal Risk Control},author={Blot, Vincent and Angelopoulos, Anastasios Nikolas and Jordan, Michael and Brunel, Nicolas J-B.},booktitle={The 28th International Conference on Artificial Intelligence and Statistics},year={2025},url={https://openreview.net/forum?id=zO46aYZqrG},}
CONFORMAL APPROACH TO GAUSSIAN PROCESS SURROGATE EVALUATIONWITH MARGINAL COVERAGE GUARANTEES
Edgar Jaber, Vincent Blot, Nicolas J. B. Brunel, and 6 more authors
Journal of Machine Learning for Modeling and Computing, 2025
@article{jaber2024conformal,author={Jaber, Edgar and Blot, Vincent and Brunel, Nicolas J. B. and Chabridon, Vincent and Remy, Emmanuel and Iooss, Bertrand and Lucor, Didier and Mougeot, Mathilde and Leite, Alessandro},title={CONFORMAL APPROACH TO GAUSSIAN PROCESS SURROGATE EVALUATIONWITH MARGINAL COVERAGE GUARANTEES},journal={Journal of Machine Learning for Modeling and Computing},issn={2689-3967},year={2025},volume={6},number={3},pages={37--68},url={https://www.dl.begellhouse.com/journals/558048804a15188a,24181d765dd9f652,349feb500f046e7a.html},}
Efficient Precision Control in Object Detection Models for Enhanced and Reliable Ovarian Follicle Counting
Vincent Blot, Alexandra Lorenzo Brionne, Ines Sellami, and 4 more authors
In Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2025
@inproceedings{blot2024follicle,author={Blot, Vincent and de Brionne, Alexandra Lorenzo and Sellami, Ines and Trassard, Olivier and Beau, Isabelle and Sonigo, Charlotte and Brunel, Nicolas J.-B.},editor={Sudre, Carole H. and Mehta, Raghav and Ouyang, Cheng and Qin, Chen and Rakic, Marianne and Wells, William M.},title={Efficient Precision Control in Object Detection Models for Enhanced and Reliable Ovarian Follicle Counting},booktitle={Uncertainty for Safe Utilization of Machine Learning in Medical Imaging},year={2025},publisher={Springer Nature Switzerland},address={Cham},pages={183--193},isbn={978-3-031-73158-7},url={https://link.springer.com/chapter/10.1007/978-3-031-73158-7_17},}
2023
Flexible and Systematic Uncertainty Estimation with Conformal Prediction via the MAPIE library
Thibault Cordier, Vincent Blot, Louis Lacombe, and 3 more authors
In Proceedings of the Twelfth Symposium on Conformal and Probabilistic Prediction with Applications, 13–15 sep 2023
@inproceedings{pmlr-v204-cordier23a,title={Flexible and Systematic Uncertainty Estimation with
Conformal Prediction via the MAPIE library},author={Cordier, Thibault and Blot, Vincent and Lacombe, Louis and Morzadec, Thomas and Capitaine, Arnaud and Brunel, Nicolas},booktitle={Proceedings of the Twelfth Symposium on Conformal
and Probabilistic Prediction with Applications},pages={549--581},year={2023},editor={Papadopoulos, Harris and Nguyen, Khuong An and Boström, Henrik and Carlsson, Lars},volume={204},series={Proceedings of Machine Learning Research},month={13--15 Sep},publisher={PMLR},url={https://proceedings.mlr.press/v204/cordier23a.html},dimensions={true},}
2022
MAPIE: an open-source library for distribution-free uncertainty quantification
Vianney Taquet, Vincent Blot, Thomas Morzadec, and 2 more authors
@misc{taquet2022mapie,title={MAPIE: an open-source library for distribution-free uncertainty quantification},author={Taquet, Vianney and Blot, Vincent and Morzadec, Thomas and Lacombe, Louis and Brunel, Nicolas},year={2022},}
