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Louis Allain

Looking for a postdoc, starting early 2028

I am looking for a postdoctoral position in machine learning starting in early 2028, ideally on kernel methods, uncertainty quantification and conformal prediction. PhD defense expected in late 2027. Open to positions worldwide.

Contact: louis.allain [at] gmail.com

Updated November 2026

I am a PhD student in machine learning at CREST (CNRS, ENSAI) and Safran, the French aerospace group, as part of an industrial PhD (CIFRE). I am advised by Sébastien Da Veiga (CREST) and Brian Staber (Safran Tech). Before my PhD, I graduated from ENSAI, a French graduate school in statistics and data science.

My research aims at making machine learning more robust, reliable and trustworthy. I work on kernel methods and statistical learning theory for uncertainty quantification: my PhD develops kernel sum-of-squares models to build prediction bands, combined with conformal prediction. I am also interested in physics-informed machine learning, Gaussian processes and optimal transport.

Awards

Selected Publications

Asymmetric conformal prediction with penalized kernel sum-of-squares

Louis Allain, Sébastien Da Veiga, and Brian Staber

ICML 2026

CodePoster
@inproceedings{allain2026asymmetric,
  title     = {Asymmetric conformal prediction with penalized kernel sum-of-squares},
  author    = {Allain, Louis and Da Veiga, S{\'e}bastien and Staber, Brian},
  booktitle = {Proceedings of the 43rd International Conference on Machine Learning},
  pages     = {1995--2052},
  year      = {2026},
  editor    = {Zhang, Tong and Dud{\'\i}k, Miroslav and Jaggi, Martin and Agarwal, Alekh and Li, Sharon and Schuurmans, Dale and Zhu, Jerry and Berkenkamp, Felix and Dong, Hanze and Bietti, Alberto},
  volume    = {306},
  series    = {Proceedings of Machine Learning Research},
  month     = jul,
  publisher = {PMLR},
  url       = {https://proceedings.mlr.press/v306/allain26a.html}
}

Scalable and adaptive prediction bands with kernel sum-of-squares

Louis Allain, Sébastien Da Veiga, and Brian Staber

NeurIPS 2025

CodeSlidesPoster
@inproceedings{allain2025scalable,
  title     = {Scalable and adaptive prediction bands with kernel sum-of-squares},
  author    = {Allain, Louis and Da Veiga, S{\'e}bastien and Staber, Brian},
  booktitle = {Advances in Neural Information Processing Systems},
  pages     = {132590--132609},
  year      = {2025},
  editor    = {Belgrave, D. and Zhang, C. and Lin, H. and Pascanu, R. and Koniusz, P. and Ghassemi, M. and Chen, N.},
  volume    = {38},
  publisher = {Curran Associates, Inc.},
  doi       = {10.52202/085713-4417},
  url       = {https://papers.nips.cc/paper_files/paper/2025/hash/bff09ce4b210b185a265c9bcd58048bb-Abstract-Conference.html}
}

All publications →