93 citations · 513 across the 46 of their papers we have counts for
49 papers
Multivariate selfsimilarity: Multiscale eigen-structures for selfsimilarity parameter estimation
Charles-Gérard Lucas, Gustavo Didier, Herwig Wendt +1
Scale-free dynamics, formalized by selfsimilarity, provides a versatile paradigm massively and ubiquitously used to model temporal dynamics in real-world data. However, its practic…
Probabilistic forecasts of extreme heatwaves using convolutional neural networks in a regime of lack of data
George Miloshevich, Bastien Cozian, Patrice Abry +2
Understanding extreme events and their probability is key for the study of climate change impacts, risk assessment, adaptation, and the protection of living beings. Forecasting the…
Covid19 Reproduction Number: Credibility Intervals by Blockwise Proximal Monte Carlo Samplers
Gersende Fort, Barbara Pascal, Patrice Abry +1
Monitoring the Covid19 pandemic constitutes a critical societal stake that received considerable research efforts. The intensity of the pandemic on a given territory is efficiently…
Temporal evolution of the Covid19 pandemic reproduction number: Estimations from proximal optimization to Monte Carlo sampling
Patrice Abry, Gersende Fort, Barbara Pascal +1
Monitoring the evolution of the Covid19 pandemic constitutes a critical step in sanitary policy design. Yet, the assessment of the pandemic intensity within the pandemic period rem…
Hyperparameter selection for Discrete Mumford-Shah
Charles-Gérard Lucas, Barbara Pascal, Nelly Pustelnik +1
This work focuses on a parameter-free joint piecewise smooth image denoising and contour detection. Formulated as the minimization of a discrete Mumford-Shah functional and estimat…
Nonsmooth convex optimization to estimate the Covid-19 reproduction number space-time evolution with robustness against low quality data
Barbara Pascal, Patrice Abry, Nelly Pustelnik +3
Daily pandemic surveillance, often achieved through the estimation of the reproduction number, constitutes a critical challenge for national health authorities to design countermea…