200 citations
- Université Paris-SaclayFR161 papers
- Centre National de la Recherche ScientifiqueFR147 papers
- Université Paris-SudFR57 papers
- Université Paris CitéFR38 papers
- Laboratoire de Mathématiques Blaise PascalFR30 papers
- Centre Inria de SaclayFR29 papers
- Sorbonne UniversitéFR29 papers
- Département de mathématiques et applicationsFR24 papers
- Institut de Mécanique Céleste et de Calcul des ÉphéméridesFR24 papers
- École PolytechniqueFR23 papers
- Laboratoire de Probabilités et Modèles AléatoiresFR22 papers
- École Normale Supérieure - PSLFR21 papers
723 papers
GraphToolbox: A Configurable Python Framework for Graph Neural Network Forecasting
Eloi Campagne, Yvenn Amara-Ouali, Yannig Goude +1
Electricity forecasting often involves spatially related signals observed over regions, substations, and feeders, and Graph Neural Networks (GNNs) provide a natural way to represen…
Extreme classification: beating chance with one training example from each class
Kevin Bleakley, Aaditya Ramdas
We study a minimal classification problem: Given independent labeled observations and from two unknown distributions , and given an independent target …
Semi-discrete convex order and Laguerre tessellation fitting
David P. Bourne, Thomas Gallouët, Quentin Mérigot +1
Laguerre tessellations offer an efficient way to parameterize a large class of convex partitions of Euclidean space using only a set of points and scalar weights. For this reason,…
Pressure and temperature relaxation limit for a one-velocity Baer-Nunziato model
Cosmin Burtea, Timothée Crin-Barat, Pierre Gonin--Joubert
The dynamics of two-phase flows out of mechanical and thermal equilibrium are described by a partially dissipative first-order quasilinear system with stiff interaction terms assoc…
Bayesian Algorithm for Collaborative Optimization with Application to Aircraft Design
Mohamed Ali Belhafnaoui, Youssef Diouane
Collaborative Optimization (CO) is a multidisciplinary design optimization (MDO) framework that decomposes large-scale engineering problems into parallel, independently solvable su…
Strong existence and uniqueness for a class of quasilinear stochastic evolution equations
Sebastian Bechtel, Esmée Theewis
We establish existence of probabilistically strong solutions and pathwise uniqueness for a class of quasilinear stochastic evolution equations on bounded domains. Our results combi…