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UID:1-124@lptms.universite-paris-saclay.fr
DTSTART:20130222T150000Z
DTEND:20130222T170000Z
DTSTAMP:20130213T144347Z
URL:http://www.lptms.universite-paris-saclay.fr/seminars/soutenance-de-the
 se-jason-sakellariou/
SUMMARY:Soutenance de thèse : Jason Sakellariou - IPN-batiment 100\, Audit
 oriurm - 22 Fév 13 15:00
DESCRIPTION:\nInverse inference in the asymmetric Ising model\n \nIn recen
 t years new experimental methods have made possible the acquisition of an 
 overwhelming amount of data for a number of biological systems such as ass
 emblies of neurons\, genes and proteins. Typically\, these systems consist
  of a large number of interacting components and can be described by high 
 dimensional models such as the well known Ising model from statistical phy
 sics. The nature of the data acquired from experiments makes necessary the
  development of methods that are able to infer the parameters of the mode
 l and thus predict the pattern of the interactions between the components 
 of such systems. In this thesis I have studied the particular case of the 
 Ising model with asymmetric interactions which is arguably the most releva
 nt case when dealing with neural networks and could be generalized to fit 
 to other biological systems as well. I will present a new mean-field inf
 erence method based on a simple application of the central limit theorem\,
  able to infer exactly the parameters of the asymmetric Ising model from d
 ata in a computationally efficient way. I will also discuss some results o
 f numerical simulations where the performance of our new method can be eva
 luated and compared with other existing methods. Finally\, I will also sho
 w how the method can be better adapted to the case of sparse networks wher
 e\, additionally\, the amount of data used in the inference is low compare
 d to the size of the system.\n
LOCATION:IPN-batiment 100\, Auditoriurm\, 15 Rue Georges Clemenceau\, orsay
 \, France
GEO:48.698196;2.181773
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=15 Rue Georges Clemenceau\,
  orsay\, France;X-APPLE-RADIUS=100;X-TITLE=IPN-batiment 100\, Auditoriurm:
 geo:48.698196,2.181773
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