Many variants of the Wasserstein distance have been introduced to reduce its original computational burden. In particular the Sliced-Wasserstein distance (SW), which leverages one-dimensional projections for which a closed-form solution of the Wasserstein distance is available, has received a lot of interest. Yet, it is restricted to data living in...
Learning representations that capture meaningful underlying information of data is a promising solution to reduce the reliance on labeled data for downstream applications. With the advent of the big remote sensing data era, self-supervised deep learning methods have become a valuable tool to extract high-level, complex abstractions and representati...
In this paper, deterministic and robust design optimizations of a permanent magnet assisted synchronous reluctance machine were performed to increase its mean torque while reducing torque ripple. These optimizations were carried out using a surrogate model based on 2-D finite element simulations. The results of the robust optimizations, which consi...
Alternative data sets are widely used for macroeconomic nowcasting together with machine learning--based tools. The latter are often applied without a complete picture of their theoretical nowcasting properties. Against this background, this paper proposes a theoretically grounded nowcasting methodology that allows researchers to incorporate altern...
Characterizing the spatial organization of urban systems is a challenge which points to the more general problem of describing marked point processes in spatial statistics. We propose a non-parametric method that goes beyond standard tools of point pattern analysis and which is based on a mapping between the points and a "dominance tree", construct...
A co-clustering model for continuous data that relaxes the identically distributed assumption within blocks of traditional co-clustering is presented. The proposed model, although allowing more flexibility, still maintains the very high degree of parsimony achieved by traditional co-clustering. A stochastic EM algorithm along with a Gibbs sampler i...
OBJECTIVE The role of surgery in the treatment of malignant gliomas in the elderly is not settled. The authors conducted a randomized trial that compared tumor resection with biopsy only—both followed by standard therapy—in such patients. METHODS Patients ≥ 70 years of age with a Karnofsky Performance Scale (KPS) score ≥ 50 and presenting with a ra...
Climate is a complex system resulting from various interactions between its different components and its multiple variables. This thesis aims to assess whether and how the use of multivariate statistical approaches for the study of climate simulations can contribute to a deeper understanding of climate change and high-impact climate events. To answ...
Zero-inflated models have become a popular tool for assessing the relationships between explanatory variables and a zero-inflated count outcome. In these models, regression coefficients have latent class interpretations, where the latent classes correspond to a susceptible subpopulation with observations generated from a count distribution and a no...
IntroductionPendant la pandémie de COVID-19, les contraintes sanitaires ont conduit à des situations d'isolement social qui ont impacté plusieurs secteurs dont celui de l´éducation. Les fermetures des établissements d'enseignement ont eu d'innombrables répercussions dans le monde entier, perturbant la scolarisation et affectant le processus d'ensei...
