From the 1 of 24 papers with an AI index.
20 citations
- Institut National des Sciences Appliquées de ToulouseFR18 papers
- Université Toulouse III - Paul SabatierFR16 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- Institut Universitaire de FranceFR3 papers
- Université Fédérale de Toulouse Midi-PyrénéesFR3 papers
- Université Paris CitéFR3 papers
- CEA CadaracheFR2 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR2 papers
- École Nationale de l’Aviation CivileFR2 papers
- Toulouse Mathematics Institute2 papers
- Toulouse School of EconomicsFR2 papers
- Université Toulouse - Jean JaurèsFR2 papers
24 papers
Key polynomials for simple extensions of valued fields
F. J. Herrera Govantes, W. Mahboub, M. A. Olalla Acosta +1
The paper refines MacLane’s theory of key polynomials for simple transcendental extensions of rank‑1 valued fields, explicitly describing limit key polynomials and giving upper bou…
Gradient-enhanced global sensitivity analysis with Poincar{é} chaos expansions
O Roustant, N Lüthen, David Heredia +1
Spectral methods, also known as chaos expansions, are widely used in global sensitivity analysis (GSA), as they leverage orthogonal bases of L2 spaces to efficiently compute Sobol'…
Multivariable CLT for critical points
Jean-Marc Azaïs, Federico Dalmao, Céline Delmas
We prove a multivariate central limit theorem for the numbers of critical points with all possible indexes which lie above a level of a non-necessarily isotropic Gaussian random fi…
Spectral scheme for an energetic Fokker-Planck equation with -distribution steady states
Claudia Negulescu, Hugo Parada
The concern of the present paper is the design of efficient numerical schemes for a specific Fokker-Planck equation describing the dynamics of energetic particles occurring in ther…
A Lie characterization of the Bousfield-Kan -completion and -good spaces
Yves Félix, Mario Fuentes, Aniceto Murillo
We prove that the unit of the Quillen pair given by the model and realization functor i…
Mixtures Closest to a Given Measure: A Semidefinite Programming Approach
SreÄko ÄuraÅ¡inoviÄ, Srećko Đurašinović, Jean-Bernard Lasserre +1
Mixture models, such as Gaussian mixture models, are widely used in machine learning to represent complex data distributions. A key challenge, especially in high-dimensional settin…