Preprint/Submitted
- Conformal Object Detection by Sequential Risk Control, with Léo Andéol, Luca Mossina and Sébastien Gerchinovitz, arXiv (2025).
- Adaptive inference with random ellipsoids through Conformal Conditional Linear Expectation, with Iain Henderson and Fabrice Gamboa, arXiv (2024).
Published/Accepted
- Risk-controlling Prediction with Distributionally Robust Optimization, with Franck Iutzeler, in Transactions on Machine Learning Research (2025), HAL.
- Conformal novelty detection for replicate point patterns with FDR or FWER control, with Christophe Biscio and Martin V. Vejling, in Spatial Statistics (2025), DOI:10.1016/j.spasta.2025.100924, arXiv.
- Monte Carlo integration of non-differentiable functions on [0,1]^i, i=1,…,d , using a single determinantal point pattern defined on [0,1]^d, with Jean-François Coeurjolly and Pierre-Olivier Amblard, in Electronic Journal of Statistics (2021), DOI: 10.1214/21-EJS1929 , arXiv, HAL.
- Projections of determinantal point processes, with Jean-François Coeurjolly and Pierre-Olivier Amblard, in Spatial Statistics (2020), DOI:10.1016/j.spasta.2020.100437, arXiv, HAL.
- Fluctuation analysis on mutation models with birth-date dependence, in Mathematical Biosciences (2018), DOI:10.1016/j.mbs.2018.06.006, HAL.
- Time inhomogeneous mutation model with birth-date dependence, in Bulletin of Mathematical Biology (2017), DOI: 10.1007/s11538-017-0357-3, HAL.
flan: An R Package for Inference on Mutation Models with Rémy Drouilhet, Stéphane Despréaux and Bernard Ycart, in R Journal (2017), URL.
You can find my thesis manuscript here.
Softwares
Determinantal Point Processes
rcdpp: DPP sampling using Rcpp (see GitHub)
Mutation Models