Romain Pic’s Webpage

I’m a third year PhD Student at LMB (CNRS/UBFC).

My research is focused on combining Statistical Learning/Machine Learning and Extreme Value Theory to improve weather forecasting. I work with Clément Dombry (LMB), Philippe Naveau (LSCE) and Maxime Taillardat (CNRM/Météo France).

Publications

[Published] A new methodology to predict the oncotype scores based on clinico-pathological data with similar tumor profiles

Al Masry, Zeina, Pic, Romain, Dombry, Clément, & Devalland, Christine (2023). "A new methodology to predict the oncotype scores based on clinico-pathological data with similar tumor profiles". Breast Cancer Research and Treatment.

[Submitted] Stone’s theorem for distributional regression in Wasserstein distance

Dombry, Clément, Modeste, Thibault, & Pic, Romain (2023). "Stone’s theorem for distributional regression in Wasserstein distance". arXiv.

[Published] Evaporation-Driven Cellular Patterns in Confined Hyperelastic Hydrogels

Saintyves, Baudouin, Pic, Romain, Mahadevan, L., & Bischofberger, Irmgard. "Evaporation-Driven Cellular Patterns in Confined Hyperelastic Hydrogels". Physics Review Letter.

[Published] Distributional regression and its evaluation with the CRPS: Bounds and convergence of the minimax risk

Pic, Romain, Dombry, Clément, Naveau, Philippe, & Taillardat, Maxime (2022). "Distributional regression and its evaluation with the CRPS: Bounds and convergence of the minimax risk". International Journal of Forecasting.