Collective Dynamics in Information Systems
|Date :||From 2014-10-08 To 2014-10-31|
|Advisory committee :|
|Local coordinators :|
|International coordinators :||Erik Aurell, Mikko Alava, Hai-Jun Zhou|
This is a research program at the interface between statistical physics, computer science and
information theory. It is a continuation of two previous KITPC programs, the first one being the
"Collective Dynamics in Information Systems" program of 01.03--15.04.2008, the second one
being the "Interdisciplinary Application of Statistical Physics and Complex Networks" program
This program will build on the experience we gained from running the previous two programs. It
contains a kick-off workshop of two days at the beginning, many discussions, seminars, and
collaborations during the main part of the program, and a one-day workshop at the end
summarizing the progresses made during the program.
The main topics of this research programs are:
(1) Finite-dimensional spin glasses and graphical models: message passing approach, numerical
simulations, renormalization group approach, etc.
(2) statistical physics approaches to inference and learning: inverse Ising model, network
reconstruction, compressed sensing, etc.
(3) statistical physics approaches to combinatorial optimization and constraint satisfaction problems.