10 citations · 34 across the 9 of their papers we have counts for
10 papers
Precipitaion Nowcasting using Deep Neural Network
Mohamed Chafik Bakkay, Mathieu Serrurier, Valentin Kivachuk Burda +8
Precipitation nowcasting is of great importance for weather forecast users, for activities ranging from outdoor activities and sports competitions to airport traffic management. In…
A Hölderian backtracking method for min-max and min-min problems
Jérôme Bolte, Lilian Glaudin, Edouard Pauwels +1
We present a new algorithm to solve min-max or min-min problems out of the convex world. We use rigidity assumptions, ubiquitous in learning, making our method applicable to many o…
ARPEGE Cloud Cover Forecast Post-Processing with Convolutional Neural Network
Florian Dupuy, Olivier Mestre, Mathieu Serrurier +7
Cloud cover is crucial information for many applications such as planning land observation missions from space. It remains however a challenging variable to forecast, and Numerical…
Surrogate Models for Rainfall Nowcasting
Naty Citlali Cabrera-Gutiérrez, Hadrien Godé, Jean-Christophe Jouhaud +8
Nowcasting (or short-term weather forecasting) is particularly important in the case of extreme events as it helps prevent human losses. Many of our activities, however, also depen…
Achieving robustness in classification using optimal transport with hinge regularization
Mathieu Serrurier, Franck Mamalet, Alberto González-Sanz +3
Adversarial examples have pointed out Deep Neural Networks vulnerability to small local noise. It has been shown that constraining their Lipschitz constant should enhance robustnes…
Dyslexia and Dysgraphia prediction: A new machine learning approach
Gilles Richard, Mathieu Serrurier
Learning disabilities like dysgraphia, dyslexia, dyspraxia, etc. interfere with academic achievements but have also long terms consequences beyond the academic time. It is widely a…