We are pleased to announce a Workshop on Symbolic-Neural Learning (SNL)
<http://www.ttic.edu/SNL2017/> to be held July 7-8, 2017 in Nagoya Japan.
Submission deadline March 15, 2017.

Symbolic-neural learning involves deep learning methods in combination with
symbolic structures. A "deep learning method" is taken to
​be any method for

​non-convex optimization of a large number of real-valued model parameters.
See the web site for more discussion.​

eynote speakers
​ will include​

Yoshua Bengio (invited) Université de Montréal, Montréal, Canada
William Cohen (invited) Carnegie Mellon University, Pittsburgh, USA
Masashi Sugiyama RIKEN and University of Tokyo, Tokyo, Japan
Jun'ichi Tsujii AI Center, AIST, Tokyo, Japan

Other details can be found at the web site.

David McAllester,  Yutaka Sasaki

Program co-chairs
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