93 citations · 513 across the 46 of their papers we have counts for
5 papers · 1 filter
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…
Deep Learning-based Extreme Heatwave Forecast
Valérian Jacques-Dumas, Francesco Ragone, Pierre Borgnat +2
Because of the impact of extreme heat waves and heat domes on society and biodiversity, their study is a key challenge. We specifically study long-lasting extreme heat waves, which…
Multiview Variational Graph Autoencoders for Canonical Correlation Analysis
Yacouba Kaloga, Pierre Borgnat, Sundeep Prabhakar Chepuri +2
We present a novel multiview canonical correlation analysis model based on a variational approach. This is the first nonlinear model that takes into account the available graph-bas…
Bayesian selection for the l2-Potts model regularization parameter: 1D piecewise constant signal denoising
Jordan Frecon, Nelly Pustelnik, Nicolas Dobigeon +2
Piecewise constant denoising can be solved either by deterministic optimization approaches, based on the Potts model, or by stochastic Bayesian procedures. The former lead to low c…
On-the-fly Approximation of Multivariate Total Variation Minimization
Jordan Frecon, Nelly Pustelnik, Patrice Abry +1
In the context of change-point detection, addressed by Total Variation minimization strategies, an efficient on-the-fly algorithm has been designed leading to exact solutions for u…