177 citations
- Laboratoire de Mathématiques Blaise PascalFR124 papers
- Université de Caen NormandieFR115 papers
- Centre National de la Recherche ScientifiqueFR108 papers
- Normandie UniversitéFR22 papers
- Universidade de São PauloBR13 papers
- Universidad Nacional Autónoma de MéxicoMX12 papers
- Institut de Mathématiques de Jussieu-Paris Rive GaucheFR9 papers
- University of BonnDE8 papers
- Institut de Mathématiques de BourgogneFR7 papers
- Institut de recherche mathématique de RennesFR7 papers
- Institut de Mathématiques de BordeauxFR6 papers
- Institute of MathematicsPL6 papers
17 papers · 1 filter
Interval Structures, Hecke Algebras, and Krammer's Representations for the Complex Braid Groups B(e,e,n)
Georges Neaime
We define geodesic normal forms for the general series of complex reflection groups G(de,e,n). This requires the elaboration of a combinatorial technique in order to determine mini…
Rigid modules and Schur roots
Christof Geiß, Bernard Leclerc, Jan Schröer
Let be a symmetrizable generalized Cartan matrix with symmetrizer and orientation . In previous work we associated an algebra to this data, such that the locally fre…
Majorization, Interpolation and noncommutative Khintchine inequalities
Léonard Cadilhac
Let and . We give a characterization of quasi-Banach interpolation spaces for the couple in terms of two monotonicity prope…
Some Differential Equations for the Riemann -Function on Jacobians
Robert Wilms
We prove some differential equations for the Riemann theta function associated to the Jacobian of a Riemann surface. The proof is based on some variants of a formula by Fay for the…
Lower central series, surface braid groups, surjections and permutations
Paolo Bellingeri, Daciberg Lima Gonçalves, John Guaschi
Generalising previous results on classical braid groups by Artin and Lin, we determine the values of m, n N for which there exists a surjection between the n-and m-string bra…
Regularized Maximum Likelihood Estimation and Feature Selection in Mixtures-of-Experts Models
Faicel Chamroukhi, Bao-Tuyen Huynh
Mixture of Experts (MoE) are successful models for modeling heterogeneous data in many statistical learning problems including regression, clustering and classification. Generally…