From the 1 of 5.5k papers with an AI index.
29.3k citations
- Centre National de la Recherche ScientifiqueFR1.7k papers
- Centre Inria de SaclayFR364 papers
- École PolytechniqueFR306 papers
- Laboratoire Lorrain de Recherche en Informatique et ses ApplicationsFR300 papers
- École Normale Supérieure - PSLFR292 papers
- Sorbonne UniversitéFR291 papers
- École Normale Supérieure de LyonFR233 papers
- Centre Inria de l'Université Grenoble AlpesFR216 papers
- Université Paris-SaclayFR208 papers
- Université Grenoble AlpesFR204 papers
- Lyon 1 UniversitéFR191 papers
- Centre Inria d'Université Côte d'AzurFR183 papers
6 papers · 2 filters
Analysis of topological derivative as a tool for qualitative identification
Marc Bonnet, Fioralba Cakoni
The concept of topological derivative has proved effective as a qualitative inversion tool for a wave-based identification of finite-sized objects. Although for the most part, this…
An embedded corrector problem for homogenization. Part II: Algorithms and discretization
Eric Cancès, Virginie Ehrlacher, Frederic Legoll +2
This contribution is the numerically oriented companion article of the work [E. Cancès, V. Ehrlacher, F. Legoll, B. Stamm and S. Xiang, arxiv preprint 1807.05131]. We focus here on…
A Nitsche-based formulation for fluid-structure interactions with contact
Erik Burman, Miguel A. Fernández, Stefan Frei
We derive a Nitsche-based formulation for fluid-structure interaction (FSI) problems with contact. The approach is based on the work of Chouly and Hild [SIAM Journal on Numerical A…
An embedded corrector problem for homogenization. Part I: Theory
Eric Cancès, Virginie Ehrlacher, Frederic Legoll +2
This article is the first part of a two-fold study, the objective of which is the theoretical analysis and numerical investigation of new approximate corrector problems in the cont…
Goal-oriented error control of stochastic system approximations using metric-based anisotropic adaptations
Jan Van Langenhove, Didier Lucor, Frédéric Alauzet +1
The simulation of complex nonlinear engineering systems such as compressible fluid flows may be targeted to make more efficient and accurate the approximation of a specific (scalar…
Learning general sparse additive models from point queries in high dimensions
Hemant Tyagi, Jan Vybiral
We consider the problem of learning a -variate function defined on the cube , where the algorithm is assumed to have black box access to sampl…