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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

Using the Proximal Gradient and the Accelerated Proximal Gradient as a Canonical Polyadic tensor decomposition Algorithms in difficult situations

Marouane Nazih, Khalid Minaoui, Pierre Comon. Using the Proximal Gradient and the Accelerated Proximal Gradient as a Canonical Polyadic tensor decomposition Algorithms in difficult situations. Signal Processing, Elsevier, 2020, 171. ⟨hal-02433477⟩

Reliable chiral recognition with an optoelectronic nose

Pierre Maho, Cyril Herrier, Thierry Livache, Guillaume Rolland, Pierre Comon, et al.. Reliable chiral recognition with an optoelectronic nose. Biosensors and Bioelectronics, Elsevier, 2020, ⟨10.1016/j.bios.2020.112183⟩. ⟨hal-02534216v2⟩

Monte Carlo integration of non-differentiable functions on $[0,1]^iota$, $iota=1,dots,d$ , using a single determinantal point pattern defined on $[0,1]^d$

Jean-François Coeurjolly, Adrien Mazoyer, Pierre-Olivier Amblard. Monte Carlo integration of non-differentiable functions on $[0,1]^iota$, $iota=1,dots,d$ , using a single determinantal point pattern defined on $[0,1]^d$. 2020. ⟨hal-02508401⟩


Voir toutes les publications de l'équipe dans HAL
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