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Detecting chaos in lineage-trees: A deep learning approach


Jun 08, 2021
Hagai Rappeport, Irit Levin Reisman, Naftali Tishby, Nathalie Q. Balaban

* 12 pages, 7 figures 

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The Dual Information Bottleneck


Jun 08, 2020
Zoe Piran, Ravid Shwartz-Ziv, Naftali Tishby


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Semantic categories of artifacts and animals reflect efficient coding


May 11, 2019
Noga Zaslavsky, Terry Regier, Naftali Tishby, Charles Kemp

* To appear in the proceedings of the 41st Annual Conference of the Cognitive Science Society (CogSci 2019) 

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An Information-Theoretic Framework for Non-linear Canonical Correlation Analysis


Oct 31, 2018
Amichai Painsky, Meir Feder, Naftali Tishby


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Efficient human-like semantic representations via the Information Bottleneck principle


Aug 09, 2018
Noga Zaslavsky, Charles Kemp, Terry Regier, Naftali Tishby

* Cognitively Informed Artificial Intelligence Workshop at NIPS 2017 

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Color naming reflects both perceptual structure and communicative need


Aug 03, 2018
Noga Zaslavsky, Charles Kemp, Naftali Tishby, Terry Regier

* Proceedings of the 40th Annual Conference of the Cognitive Science Society (pp. 1250 - 1255), 2018 

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A General Memory-Bounded Learning Algorithm


Dec 10, 2017
Michal Moshkovitz, Naftali Tishby


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Gaussian Lower Bound for the Information Bottleneck Limit


Nov 07, 2017
Amichai Painsky, Naftali Tishby


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Opening the Black Box of Deep Neural Networks via Information


Apr 29, 2017
Ravid Shwartz-Ziv, Naftali Tishby

* 19 pages, 8 figures 

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Principled Option Learning in Markov Decision Processes


Mar 30, 2017
Roy Fox, Michal Moshkovitz, Naftali Tishby

* 13th European Workshop on Reinforcement Learning (EWRL 2016) 

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