194 citations · 496 across the 24 of their papers we have counts for
26 papers
Clustering high dimensional meteorological scenarios: results and performance index
Yamila Barrera, Leonardo Boechi, Matthieu Jonckheere +5
The Reseau de Transport d'Electricité (RTE) is the French main electricity network operational manager and dedicates large number of resources and efforts towards understanding cli…
Uncovering differential equations from data with hidden variables
Agustín Somacal, Yamila Barrera, Leonardo Boechi +4
SINDy is a method for learning system of differential equations from data by solving a sparse linear regression optimization problem [Brunton et al., 2016]. In this article, we pro…
Kernel and wavelet density estimators on manifolds and more general metric spaces
G. Cleanthous, A. Georgiadis, G. Kerkyacharian +2
We consider the problem of estimating the density of observations taking values in classical or nonclassical spaces such as manifolds and more general metric spaces. Our setting is…
Convergence rates for smooth k-means change-point detection
Aurélie Fischer, Dominique Picard
In this paper, we consider the estimation of a change-point for possibly high-dimensional data in a Gaussian model, using a k-means method. We prove that, up to a logarithmic term,…
Statistical learning for wind power : a modeling and stability study towards forecasting
Aurélie Fischer, Lucie Montuelle, Mathilde Mougeot +1
We focus on wind power modeling using machine learning techniques. We show on real data provided by the wind energy company Ma{ï}a Eolis, that parametric models, even following clo…
Regularity of Gaussian Processes on Dirichlet spaces
Gerard Kerkyacharian, Shigeyoshi Ogawa, Pencho Petrushev +1
We are interested in the regularity of centered Gaussian processes (Z_x), x in M indexed by compact metric spaces M. It is shown that the almost everywhere Besov space regularity o…