Lecture notes that treat statistical physics as probability theory and connect Ising models, spin glasses, and renormalization group ideas to Hopfield networks, restricted Boltzmann machines, and large language models.
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This review summarizes prior attempts to define renormalization procedures for heterogeneous complex networks and highlights remaining open challenges.
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Lecture Notes on Statistical Physics and Neural Networks
Lecture notes that treat statistical physics as probability theory and connect Ising models, spin glasses, and renormalization group ideas to Hopfield networks, restricted Boltzmann machines, and large language models.
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Network Renormalization
This review summarizes prior attempts to define renormalization procedures for heterogeneous complex networks and highlights remaining open challenges.