Deep learning for K3 fibrations in heterotic/type IIA string duality

DOI10.1016/j.nuclphysb.2023.116279zbMath1529.81050OpenAlexW4381683908MaRDI QIDQ6173606

Aaron Vermeersch

Publication date: 21 July 2023

Published in: Nuclear Physics. B (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.nuclphysb.2023.116279

Mathematics Subject Classification ID

Computational learning theory (68Q32) Artificial neural networks and deep learning (68T07) Toric varieties, Newton polyhedra, Okounkov bodies (14M25) Quantum computation (81P68) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20) Polyhedra and polytopes; regular figures, division of spaces (51M20) Calabi-Yau manifolds (algebro-geometric aspects) (14J32) Fibrations, degenerations in algebraic geometry (14D06)

Cites Work

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