Deep learning complete intersection Calabi-Yau manifolds

• URL: http://arxiv.org/abs/2311.11847v1
• Date: Mon, 20 Nov 2023 15:37:39 GMT
• Title: Deep learning complete intersection Calabi-Yau manifolds
• Authors: Harold Erbin, Riccardo Finotello
• Abstract summary: We review advancements in deep learning techniques for complete intersection Calabi-Yau (CICY) 3- and 4-folds. We first discuss methodological aspects and data analysis, before describing neural networks architectures. We include new results on extrapolating predictions from low to high Hodge numbers, and conversely.
• Score: 0.0
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We review advancements in deep learning techniques for complete intersection Calabi-Yau (CICY) 3- and 4-folds, with the aim of understanding better how to handle algebraic topological data with machine learning. We first discuss methodological aspects and data analysis, before describing neural networks architectures. Then, we describe the state-of-the art accuracy in predicting Hodge numbers. We include new results on extrapolating predictions from low to high Hodge numbers, and conversely.

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