Connectionists: Deadline extended: ESANN special session on Statistical Physics of Learning

[Michael Biehl]

Apologies in advance for multiple postings.

*DEADLINE EXTENSION:* Special Session

*"Statistical Physics of Learning and Inference" at ESANN 2019*NEW deadline
for submission of papers: *November 26, 2018.*

Please contact the organizers directly if you intend to submit a
contribution but might have difficulties to meet the deadline.

European Symposium on Artificial Neural Networks, Computational
Intelligence
and Machine Learning (ESANN2019).  24-26 April 2019, Bruges, Belgium
http://www.esann.org

Description:
This special session is meant to attract researchers who exploit analogies
and concepts
from statistical physics in the context of machine learning, inference,
optimization, and
related fields.
The exchange of ideas between statistical physics and computer science has
been
very fruitful and is currently gaining momentum again as a consequence of
the
revived interest in neural networks, machine learning and inference in
general.
Statistical physics methods complement other approaches to the theoretical
understanding of machine learning processes and inference in stochasic
modeling.
They facilitate, for instance, the study of dynamical and equilibrium
properties
of
randomized training processes in model situations. At the same time, the
approach
inspires novel and efficient algorithms and facilitates interdisciplinary
applications
in a variety of scientific and technical disciplines.
The tools and concepts applied in this context include information theory,
the mathematical analysis of stochastic differential equations, methods
borrowed
from the statistical mechanics of disorder,  mean field theory, variational
calculus,
renormalization group and other methods.

Potential topics include, but are not limited to:

   -  Probabilistic inference in, e.g., stochastic dynamical systems and
   complex networks
   -  Learning in Deep Networks and other architectures
   -  Complex optimization problems
   -  Emergent behavior in societies of agents
   -  Transient dynamics and equilibrium phenomena in machine learning
   -  The relation of statistical mechanics with information theory and
   mathematical statistics
   -  Applications, for instance in:

            - systems biology and bioinformatics
            - neuroscience
            - environmental modelling
            - social systems
            - signal processing
            - complex optimization


SUBMISSION:
Authors must submit their paper through the ESANN portal following the
instructions
provided at

 https://www.elen.ucl.ac.be/esann/index.php?pg=submission

We encourage authors to contact the organizers of the session beforehand.
Each paper will undergo a peer reviewing process for its acceptance.

IMPORTANT DATES:
*Submission of papers: 26 November 2018*
Notification of acceptance: 31 January 2019
ESANN conference: 24 - 26 April 2019

SPECIAL SESSION ORGANISERS:
Michael Biehl, University of Groningen, The Netherlands
Nestor Caticha, University of Sao Paulo, Brazil
Manfred Opper, Technical University Berlin, Germany
Thomas Villmann, University of Applied Sciences Mittweida, Germany

----------------------------------------------------------

Prof. Dr. Michael Biehl
Bernoulli Institute for
Mathematics, Computer Science
and Artificial Intelligence
P.O. Box 407, 9700 AK Groningen
The Netherlands

Tel. +31 50 363 3997

www.cs.rug.nl/~biehl
m.biehl at rug.nl
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