[Todos] Fwd: Announcement of the Beg Rohu Summer School 2018

Asistentes de Secretaria de Fisica secre2 en fisica.unlp.edu.ar
Vie Feb 9 22:10:50 -03 2018


-------- Mensaje original -------- 

 		ASUNTO:
 		Fwd: Announcement of the Beg Rohu Summer School 2018

 		FECHA:
 		2018-02-09 13:53

 		REMITENTE:
 		Mariela Portesi <mariela.portesi en gmail.com>

 		DESTINATARIO:
 		Secretaria del Dpto.de Física <secre2 en fisica.unlp.edu.ar>

para difusion.  

---------- Forwarded message ----------
From: THE BEG ROHU SUMMER SCHOOL <begrohu en ipht.fr>
Date: 2018-02-08 11:55 GMT-03:00
Subject: Announcement of the Beg Rohu Summer School 2018
To: The Beg Rohu Summer School <begrohu en ipht.fr>

Dear Colleague, 

this is the announcement of the 2018 Beg Rohu summer school 
of statistical physics and condensed matter: 

DEEP LEARNING AND STATISTICAL PHYSICS 

Lectures: 

G. Ben Arous: Complexity of random landscapes 
L. Bottou: Training Deep Networks with Stochastic Gradient Algorithms 
J. Kurchan: Rugged phase-spaces and the dynamics within them  
S. Mallat: Learning Physics with Multiscale Deep Neural Networks  
M. Mézard: Statistical physics of inference  
H. Sompolinsky: Statistical Mechanics of Deep Neural Networks  

and seminars by F. Krzakala and R. Zecchina.  

The school will take place from the 25th of June to the 7th of July 2018

at the French National Sailing School, on the peninsula of 
Quiberon in southern Brittany, France. 

More detailed information can be found on the school webpage: 
http://ipht.fr/begrohu 

The deadline for application is the 25th of March. 

A special care will be devoted to pedagogy: there will be long series 
of lectures on the blackboard that will go progressively from 
the basics to the current research edge. 
Furthermore, there will be sailing lessons in the afternoon. 

We would be grateful if you would bring this announcement to the 
attention of PhD students, postdocs, young and senior researchers 
interested in statistical physics and condensed matter 
and transfer this announcement to other colleagues. 

Sincerely, 
Giulio Biroli, Chiara Cammarota, Marco Tarzia
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