Cluster algebras: network science and machine learning
From MaRDI portal
Publication:6671794
DOI10.1016/j.jaca.2023.100008MaRDI QIDQ6671794
Yang-Hui He, Edward Hirst, Pierre-Philippe Dechant, Elli Heyes
Publication date: 27 January 2025
Published in: Journal of Computational Algebra (Search for Journal in Brave)
Learning and adaptive systems in artificial intelligence (68T05) Graphs and abstract algebra (groups, rings, fields, etc.) (05C25) Graph theory (05C99) Cluster algebras (13F60)
Cites Work
- Unnamed Item
- Toda systems, cluster characters, and spectral networks
- BPS quivers and spectra of complete \(\mathcal N =2\) quantum field theories
- Lecture notes on cluster algebras
- Skew-symmetric cluster algebras of finite mutation type
- Cluster algebras from dualities of 2d \({\mathcal{N}} = (2, 2)\) quiver gauge theories
- Cluster mutation-periodic quivers and associated Laurent sequences
- The quantum dilogarithm and representations of quantum cluster varieties
- New graphs of finite mutation type
- Cluster algebras. II: Finite type classification
- \(Y\)-systems and generalized associahedra
- Electric-magnetic duality in supersymmetric non-abelian gauge theories
- Evolving neural networks with genetic algorithms to study the string landscape
- Machine learning in the string landscape
- Wall-crossing in coupled 2d-4d systems
- The amplituhedron
- Notes on cluster algebras and some all-loop Feynman integrals
- Moduli-dependent Calabi-Yau and SU(3)-structure metrics from machine learning
- Algorithmically solving the tadpole problem
- Neurons on amoebae
- Graph Laplacians, Riemannian manifolds, and their machine-learning
- Deep learning Gauss-Manin connections
- Hilbert series, machine learning, and applications to physics
- Brain webs for brane webs
- Machine learning Calabi-Yau four-folds
- Deep learning the hyperbolic volume of a knot
- Quiver mutations and Boolean reflection monoids
- Moduli spaces of local systems and higher Teichmüller theory
- Unzerlegbare Darstellungen. I. (Indecomposable representations. I)
- Neural network approximations for Calabi-Yau metrics
- Cluster algebras I: Foundations
- Grassmannian Geometry of Scattering Amplitudes
- Cluster algebras: an introduction
- Cluster Algebras of Finite Mutation Type Via Unfoldings
- Bipartite field theories, cluster algebras and the Grassmannian
- Cluster polylogarithms for scattering amplitudes
- A trio of dualities: walls, trees and cascades
- The Calabi–Yau Landscape
- Advancing mathematics by guiding human intuition with AI
- Some open questions in quiver gauge theory
- From the Trinity ( A 3 , B 3 , H 3 ) to an ADE correspondence
- Machine-learning dessins d’enfants: explorations via modular and Seiberg–Witten curves
- Deep-learning the landscape
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