Final Progarm | Ad-hoc Meeting on Deep Learning & Coding | TAU, Israel, June 19, 2017
Ad-hoc Meeting on Deep Learning & Coding, TAU, Israel, June 19, 2017
May 15, 2017
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Ad-hoc Meeting on Deep Learning & Coding  will take place at Tel Aviv University, Israel,  on Monday, June 19, 2017

Location : Room 011, Classrooms (Kitot) Building, Faculty of Engineering - see attached map & link.

The program below includes talks that will review and update on the current research covered by papers published during the last year on Deep Learning & Coding - see link below for  Abstracts & References.

These talks are free and open to all interested faculty & students, as well as for participants from research institutions and industry.

 

Program:

 

Session 1

Chair:             Simon Litsyn,  Tel Aviv University, Israel

13:45 – 14:00 Yair Be’ery,  Tel Aviv University, Israel

                          Opening Remarks 

14:00 – 14:40 Warren J. Gross,  McGill University, Canada 

                           Neural Offset Min-Sum Decoding

14:40 – 15:20 Lior Wolf,  Tel Aviv University, Israel

                           Learning to Align and to Solve Graph Problems

 

15:20 – 15:40 : Break

 

Session 2

Chair:             David Burshtein,  Tel Aviv University, Israel

15:40 – 16:20 Sebastian Cammerer,  University of Stuttgart, Germany

                           On Deep Learning-based Channel Decoding

16:20 – 16:50 Eliya Nachmani,  Tel Aviv University, Israel

                           Decoding Linear Codes With Deep Learning  

16:50 – 17:20 Ami Wiesel,   Hebrew   University of Jerusalem, Israel

                           Deep MIMO Detection

 

Look forward to meeting you at TAU !

Yair Be'ery

School of Electrical Engineering 
Tel Aviv University 
Israel
Email:  [email protected]

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Link to  Abstracts & References:

http://listserv.tau.ac.il/cgi-bin/wa?A3=ind1706&L=hdpc-codes&X=2123B039A16F7F2785&Y=ybeery%40eng.tau.ac.il&P=3795350&E=2&B=--Boundary_%28ID_%2F3igocEdJyerSoHzTXqX3Q%29&N=DL-C_Program-FF.pdf&T=application%2Fpdf

Link to interactive map :

https://www2.tau.ac.il/map/unimaple2.asp