Generalized scale behavior and renormalization group for data analysis
From MaRDI portal
Publication:5066040
DOI10.1088/1742-5468/AC52A6OpenAlexW4221106663MaRDI QIDQ5066040
Vincent Lahoche, Dine Ousmane Samary, Mohamed Tamaazousti
Publication date: 28 March 2022
Published in: Journal of Statistical Mechanics: Theory and Experiment (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2002.10574
Cites Work
- A survey of multilinear subspace learning for tensor data
- More is the same; phase transitions and mean field theories
- Non-perturbative renormalization flow in quantum field theory and statistical physics
- Fractal space-times under the microscope: a renormalization group view on Monte Carlo data
- Quantum chaos in the Brownian SYK model with large finite \(N\): OTOCs and tripartite information
- PCA meets RG
- Physics and the choice of regulators in functional renormalisation group flows
- The 3D dimer and Ising problems revisited
- Regularity properties and pathologies of position-space renormalization-group transformations: scope and limitations of Gibbsian theory
- An Introduction to the Nonperturbative Renormalization Group
- Information Theory and Statistical Mechanics
- Inferring relevant features: From QFT to PCA
- Non-Hermitean Wishart random matrices (I)
This page was built for publication: Generalized scale behavior and renormalization group for data analysis