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Équipe

Communication and Information in Complex System
Responsable(s) d'équipe : Steeve ZOZOR, Nicolas LE BIHAN

The Communication Information and Complex Systems (Cics) team develops information theory and signal methodologies to understand and monitor information flows in complex systems. 

Présentation de l'équipe :

Français (pdf, 17 Mo)

Topics :

  • Communications and signal
  • Information theory and graphs
  • Interactions signal / physic
  • Big data / sparse representation




Dernières publications de l'équipe

Lossless quantum data compression with exponential penalization: an operational interpretation of the quantum Rényi entropy

Guido Bellomo, Gustavo M. Bosyk, Federico Holik, Steeve Zozor. Lossless quantum data compression with exponential penalization: an operational interpretation of the quantum Rényi entropy. Scientific Reports, Nature Publishing Group, 2017, 7 (1), pp.14765. 〈https://www.nature.com/articles/s41598-017-13350-y〉. 〈10.1038/s41598-017-13350-y〉. 〈hal-01632931〉

Traffic data imputation via tensor completion based on soft thresholding of Tucker core

José Henrique De Morais Goulart, Alain Kibangou, Gérard Favier. Traffic data imputation via tensor completion based on soft thresholding of Tucker core. Transportation research. Part C, Emerging technologies, Elsevier, 2017, 85, pp.348 - 362. 〈10.1016/j.trc.2017.09.011〉. 〈hal-01623213〉

Globally convergent Jacobi-type algorithms for simultaneous orthogonal symmetric tensor diagonalization

Jianze Li, Konstantin Usevich, Pierre Comon. Globally convergent Jacobi-type algorithms for simultaneous orthogonal symmetric tensor diagonalization. 22 pages, 6 figures. 2017. 〈hal-01628257〉


Voir toutes les publications de l'équipe dans HAL
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