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Neural Networks Explained in 5 minutes
Machine Learning and the Real Space Renomalization Group
The Renormalisation Group
Statistical Physics for Neural Networks & LLMs
Renormalization Group: Zooming through the Brain
Renormalization-Group-Inspired Neural Networks for Computing Topological Invariants
Jordan Cotler - Renormalization group flow as optimal transport - 04-11-22
Renormalization Group and Information Theory - tutorial
Giulio Biroli-Renormalisation group and machine learning: the Wavelet-Conditional RG-03-15-2023
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Last Updated: October 22, 2026
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Summary
Lei Wang (Chinese Academy of Sciences) shares his work in William Bialek (Princeton University) In many systems we can describe emergent macroscopic behaviors, quantitatively, using ... When you don't always have the same amount of data, when translating different sentences from one language to another, ... Learn more about watsonx: ibm.biz/BdvxRs Catch up on the latest in machine learning from the Three Ising model configurations each with 2^34 spins. All are close to the critical point and all look critical. As we zoom out we ... In this AI Research Roundup episode, Alex discusses the paper: 'Lecture Notes on Statistical Physics and We put the brain's “edge-of-a-phase-transition” story to the test using the Séminaire d'Omri Lesser (Weizmann Institute of Science) sur les Réseaux de neurones inspirés des groupes de Speaker: Jordan Cotler Affiliation: Harvard University Abstract: We show that Polchinski's equation for exact Original paper: arxiv.org/abs/2306.00707 Title: Speaker: Giulio Biroli Affiliation: ENS, Paris Abstract: Reconstructing, or generating, high dimensional distributions starting from ...