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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Romain Pic's Webpage
About me
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Posts
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portfolio
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publications
[Published] Distributional regression and its evaluation with the CRPS: Bounds and convergence of the minimax risk
Published in International Journal of Forecasting, 2022
This paper states results on convergence on the convergence of distributional regression evaluated with the Continuous Ranked Probability Score.
Recommended citation: 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. https://doi.org/10.1016/j.ijforecast.2022.11.001
[Published] Evaporation-Driven Cellular Patterns in Confined Hyperelastic Hydrogels
Published in Physics Review Letter, 2022
This paper studies the formation of cellular patterns in confined hyperelastic hydrogels and provides a theoretical model to explain the scaling of the size of the cavities.
Recommended citation: Saintyves, Baudouin, Pic, Romain, Mahadevan, L., & Bischofberger, Irmgard. "Evaporation-Driven Cellular Patterns in Confined Hyperelastic Hydrogels". Physics Review Letter. https://doi.org/10.1103/PhysRevLett.131.118202
[Submitted] Stone’s theorem for distributional regression in Wasserstein distance
Published in , 2023
This paper states extends results of Stone’s theorem to the framework of distributional regression and shows convergence bounds for specific cases.
Recommended citation: Dombry, Clément, Modeste, Thibault, & Pic, Romain (2023). "Stone’s theorem for distributional regression in Wasserstein distance". arXiv. https://arxiv.org/pdf/2302.00975.pdf
[Published] A new methodology to predict the oncotype scores based on clinico-pathological data with similar tumor profiles
Published in Breast Cancer Research and Treatment, 2023
We demonstrate the use of distributional regression and specifically Distributional Random Forests to help practitians understand the relationships between patients and their clinico-pathological data and hence make well-informed decisions on treatments.
Recommended citation: 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. https://doi.org/10.1007/s10549-023-07141-5
talks
Forum des Jeunes Mathématicien.ne.s 2021
Published:
Talk in French for the Forum des Jeunes Mathématicien.ne.s 2021, organized in Besançon (France).
Machine Learning and Uncertainties in Climate Simulations
Published:
Invited Talk for the Machine Learning and Uncertainties in Climate Simulations, organized in Moulin Mer (France).
53e Journées de Statistique
Published:
Talk in French for the 53e Journées de Statistique de la SFDS, organized in Lyon (France).
Reading Group of WMO Joint Working Group on Forecast Verification Research
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Talk in English for the Reading Group of WMO Joint Working Group on Forecast Verification Research. The talk was recorded and is available here.
Forecast Verification and Data Assimilation Workshop
Published:
Talk in English for the Forecast Verification and Data Assimilation workshop in intermediate and large scale models of geophysical fluid dynamics, with applications to medium range and seasonal forecasting.
[Poster] Prediction of Oncotype DX using Distributional Regression Forests
Published:
Work conducted in collaboration with Zeina Al Masry, Clément Dombry & Christine Devalland.
[Poster] Mathematical Properties of Continuous Ranked Probability Score Forecasting
Published:
Poster of a work conducted with Clément Dombry, Philippe Naveau and Maxime Taillardat. The article associated to this work can be found here.
U-Net based Methods for the Postprocessing of Precipitation Ensemble Forecasting
Published:
Talk on a preliminary work conducted with Clément Dombry, Maxime Taillardat and Philippe Naveau. The abstract of this talk can be found here.
Prediction of Oncotype DX using Distributional Regression Forests
Published:
Work conducted in collaboration with Zeina Al Masry, Clément Dombry & Christine Devalland.
U-Net based Methods for the Postprocessing of Precipitation Ensemble Forecasting
Published:
Talk on a preliminary work conducted with Clément Dombry, Maxime Taillardat and Philippe Naveau.
teaching
(2021-2022) Reinforcement in Mathematics
First Year Undergraduate course and tutorials, UFC, UFR-ST, 2021
Reinforcement in Mathematics for 1st year Undergraduate (L1) students who did not follow adavanced Mathematics in high school.
(2021-2022) Statistical Learning
Tutorials and Practicals for Last Year Master's Student, UFC, UFR-ST, 2021
Introductory Course on Statistical Learning for Second Year (M2) students following a Master’s program in Statistics.
(2022-2023) Reinforcement in Mathematics Highschool - Semester 1
First Year Undergraduate course and tutorials, UFC, UFR-ST, 2021
Reinforcement in Mathematics for 1st year Undergraduate (L1) students who did not follow adavanced Mathematics in highschool.
(2021-2022) Introduction to Deep Learning
Practicals for Last Year Master's Student, UFC, UFR-ST, 2021
Introductory Practicals on Neural Networks and Deep Learning for Second Year (M2) students following a Master’s program in Statistics.
(2021-2022) Python
Practicals for Last Year Master's Student, UFC, UFR-ST, 2022
Introductory Practicals in Python for First Year (M1) students following a Master’s program in Statistics.
(2022-2023) Statistical Learning
Tutorials and Practicals for Last Year Master's Student, UFC, UFR-ST, 2022
Introductory Course on Statistical Learning for Second Year (M2) students following a Master’s program in Statistics.
(2022-2023) Introduction to Deep Learning
Practicals for Last Year Master's Student, UFC, UFR-ST, 2022
Introductory Practicals on Neural Networks and Deep Learning for Second Year (M2) students following a Master’s program in Statistics.
(2022-2023) Python and Advanced Python
Practicals for Master's Student, UFC, UFR-ST, 2022
Introductory practicals in Python for First Year (M1) students following a Master’s program in Statistics and Advanced practicals in Python for Second Year (M2) students following a Master’s program in Statistics.
(2022-2023) Reinforcement in Mathematics Semester 1 - Semester 2
First Year Undergraduate course and tutorials, UFC, UFR-ST, 2023
Reinforcement in Mathematics for 1st year Undergraduate (L1) students who did not follow adavanced Mathematics in high school in order to ease the transition from Semester 1 to Semester 2.