Noga Zaslavsky
Noga Zaslavsky
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information bottleneck
Trading off Utility, Informativeness, and Complexity in Emergent Communication
Mycal Tucker
,
Julie Shah
,
Roger Levy
,
Noga Zaslavsky
2022
NeurIPS
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Supplementary Material
Towards Human-Agent Communication via the Information Bottleneck Principle
Mycal Tucker
,
Julie Shah
,
Roger Levy
,
Noga Zaslavsky
2022
RSS Workshop on Social Intelligence in Humans and Robots
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RSS Workshop
The evolution of color naming reflects pressure for efficiency: Evidence from the recent past
Noga Zaslavsky*
,
Karee Garvin*
,
Charles Kemp
,
Naftali Tishby
,
Terry Regier
2022
Journal of Language Evolution
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The forms and meanings of grammatical markers support efficient communication
Francis Mollica
,
Geoffrey Bacon
,
Noga Zaslavsky
,
Yang Xu
,
Terry Regier
,
Charles Kemp
2021
PNAS
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Dataset
DOI
Preprint
Let's talk (efficiently) about us: Person systems achieve near-optimal compression
Noga Zaslavsky*
,
Mora Maldonado*
,
Jennifer Culbertson
2021
CogSci
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Proceedings
Deterministic annealing and the evolution of Information Bottleneck representations
Noga Zaslavsky
,
Naftali Tishby
2019
Technical report
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Semantic categories of artifacts and animals reflect efficient coding
Noga Zaslavsky
,
Terry Regier
,
Naftali Tishby
,
Charles Kemp
2019
CogSci
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Efficient compression in color naming and its evolution
ELSC Prize for Outstanding Publication
Noga Zaslavsky
,
Charles Kemp
,
Terry Regier
,
Naftali Tishby
2018
PNAS
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DOI
SI
Movie 1
Movie 2
Efficient human-like semantic representations via the Information Bottleneck principle
Noga Zaslavsky
,
Charles Kemp
,
Terry Regier
,
Naftali Tishby
2017
CIAI @ NeurIPS
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NeurIPS Workshop
Deep learning and the Information Bottleneck principle
Naftali Tishby
,
Noga Zaslavsky
2015
ITW
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