Naftali Tishby, Professor

Computer Science, ICNC, ELSC Hebrew University, Jerusalem, Jerusalem, Israel 
Machine Learning, Statistical Physics, Computational Neuroscience
"Naftali Tishby"
Mean distance: 15.08 (cluster 17)


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Shlomo Alexander grad student 1985 Hebrew University (Chemistry Tree)
Raphael David Levine grad student 1985 Hebrew University (Chemistry Tree)


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Felix Creutzig grad student UC Berkeley
Elad Schneidman grad student Hebrew University
Yuval Tassa grad student Hebrew University
Dana Ron grad student 1991-1995 Hebrew University
Yoram Singer grad student 1991-1995 Hebrew University
Shlomo Dubnov grad student 1992-1996 Hebrew University
Itay Gat grad student 1993-1997 Hebrew University
Shai Fine grad student 1993-1998 Hebrew University
Lidror Troyansky grad student 1994-1998 Hebrew University
Gil Bejerano grad student 1996-2000 Hebrew University
Ran Bachrach grad student 1997-2004 Hebrew University
Amir Globerson grad student 1995-2005 Hebrew University
Noam Slonim grad student 1996-2005 Hebrew University
Gal Chechik grad student 1998-2006 Hebrew University
Ohad Shamir grad student 2006-2010 Hebrew University
Sivan Sabato grad student 2007-2011 Ben Gurion Unevirsity
Naama Parush grad student 2007-2012 Hebrew University
Jonathan Rubin grad student 2007-2012 Hebrew University


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Ilya Mark Nemenman collaborator NEC Research Institute, Princeton (Physics Tree)
Haim Sompolinsky collaborator 1989- Hebrew University
Moshe Abeles collaborator 1990- Hebrew University
H Sebastian Seung collaborator 1990- Hebrew University
William Bialek collaborator 1991- NEC, Princeton, N.J.
David Henry Haussler collaborator 1991- Hebrew University (Computational Biology Tree)
Hagai Bergman collaborator 1993- Hebrew University
Israel Nelken collaborator 1993- Hebrew University
Eilon Vaadia collaborator 1993- Hebrew University
Rob de Ruyter van Steveninck collaborator 1997- Hebrew University
Merav Ahissar collaborator 2005- Hebrew University
Nati Srebro collaborator 2006- Hebrew University
Daniel Polani collaborator 2008- Hebrew University
BETA: Related publications


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Amir N, Suliman R, Tal M, et al. (2020) Value-complexity tradeoff explains mouse navigational learning. Plos Computational Biology. 16: e1008497
Levi-Aharoni H, Shriki O, Tishby N. (2020) Surprise response as a probe for compressed memory states. Plos Computational Biology. 16: e1007065
Wang S, Borst A, Zaslavsky N, et al. (2017) Efficient encoding of motion is mediated by gap junctions in the fly visual system. Plos Computational Biology. 13: e1005846
Rubin J, Ulanovsky N, Nelken I, et al. (2016) The Representation of Prediction Error in Auditory Cortex. Plos Computational Biology. 12: e1005058
Amir N, Tiomkin S, Tishby N. (2016) Past-future Information Bottleneck for linear feedback systems Proceedings of the Ieee Conference On Decision and Control. 2016: 5737-5742
Tishby N, Zaslavsky N. (2015) Deep learning and the information bottleneck principle 2015 Ieee Information Theory Workshop, Itw 2015
Jacoby N, Tishby N, Tymoczko D. (2015) An Information Theoretic Approach to Chord Categorization and Functional Harmony Journal of New Music Research. 44: 219-244
Hecht RM, Bar-Hillel A, Tiomkin S, et al. (2015) Cognitive workload and vocabulary sparseness: Theory and practice Proceedings of the Annual Conference of the International Speech Communication Association, Interspeech. 2015: 3394-3398
Moshkovitz M, Tishby N. (2014) Control your information for better predictions Ieee International Symposium On Information Theory - Proceedings. 916-920
Hecht RM, Noor E, Dobry G, et al. (2013) Effective model representation by information bottleneck principle Ieee Transactions On Audio, Speech and Language Processing. 21: 1755-1759
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