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Mutual information, neural networks and the renormalization group
Maciej Koch-Janusz
*
,
Zohar Ringel
*
Corresponding author for this work
Racah Institute of Physics
Research output
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Contribution to journal
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Article
›
peer-review
142
Scopus citations
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Dive into the research topics of 'Mutual information, neural networks and the renormalization group'. Together they form a unique fingerprint.
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Keyphrases
Degrees of Freedom
100%
Neural Network
100%
Mutual Information
100%
Renormalization Group
100%
Physical Systems
33%
Information Theory
33%
Machine Learning Algorithms
33%
Machine Learning Techniques
33%
Critical Exponent
33%
Macroscopic Scale
33%
Artificial Neural Network
33%
Physical Characteristics
33%
Model Building
33%
Renormalization Group Flow
33%
Ising
33%
Model-independent
33%
Relevant Degree
33%
Physical Concepts
33%
Classical Statistical Physics
33%
Universal Property
33%
Physics Problem
33%
Real Space Renormalization Group
33%
Computer Science
Neural Network
100%
Mutual Information
100%
Machine Learning Algorithm
100%
Physical System
100%
Critical Exponent
100%
Machine Learning Technique
100%
Theoretic Characterization
100%
Physical Characteristic
100%
Artificial Neural Network
100%
Physics
Neural Network
100%
Degree of Freedom
100%
Machine Learning
66%
Statistical Physics
33%
Physical Concept
33%
Artificial Neural Network
33%