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With a bird's-eye view, we survey the landscape of Calabi-Yau threefolds, compact and non-compact, smooth and singular. Emphasis will be placed on the algorithms and databases which have been established over the years, and how they have…

High Energy Physics - Theory · Physics 2013-08-20 Yang-Hui He

Identifying symmetries in data sets is generally difficult, but knowledge about them is crucial for efficient data handling. Here we present a method how neural networks can be used to identify symmetries. We make extensive use of the…

Computational Physics · Physics 2020-03-31 Sven Krippendorf , Marc Syvaeri

These notes contain a brief introduction to the construction of toric Calabi--Yau hypersurfaces and complete intersections with a focus on issues relevant for string duality calculations. The last two sections can be read independently and…

High Energy Physics - Theory · Physics 2014-11-18 Maximilian Kreuzer

Fine, regular, and star triangulations (FRSTs) of four-dimensional reflexive polytopes give rise to toric varieties, within which generic anticanonical hypersurfaces yield smooth Calabi-Yau threefolds. We introduce CYTransformer, a deep…

High Energy Physics - Theory · Physics 2025-11-14 Jacky H. T. Yip , Charles Arnal , François Charton , Gary Shiu

We study intersecting D6-branes in Calabi-Yau manifolds that are smooth hypersurfaces in weighted projective spaces. We develop the techniques for calculating intersection numbers between special Lagrangian sub-manifolds defined as fixed…

High Energy Physics - Theory · Physics 2009-05-01 Eran Palti

Calabi-Yau links are specific $S^1$-fibrations over Calabi-Yau manifolds, when the link is 7-dimensional they exhibit both Sasakian and G2 structures. In this invited contribution to the DANGER proceedings, previous work exhaustively…

High Energy Physics - Theory · Physics 2024-01-23 Edward Hirst

Edge computing and artificial intelligence (AI), especially deep learning for nowadays, are gradually intersecting to build a novel system, called edge intelligence. However, the development of edge intelligence systems encounters some…

Machine Learning · Computer Science 2021-12-07 Di Liu , Hao Kong , Xiangzhong Luo , Weichen Liu , Ravi Subramaniam

Despite significant advances in the field of deep learning in applications to various fields, explaining the inner processes of deep learning models remains an important and open question. The purpose of this article is to describe and…

Machine Learning · Computer Science 2022-04-20 German Magai , Anton Ayzenberg

We present a pedagogical introduction to the recent advances in the computational geometry, physical implications, and data science of Calabi-Yau manifolds. Aimed at the beginning research student and using Calabi-Yau spaces as an exciting…

High Energy Physics - Theory · Physics 2020-12-22 Yang-Hui He

We show that the moduli space of all Calabi-Yau manifolds that can be realized as hypersurfaces described by a transverse polynomial in a four dimensional weighted projective space, is connected. This is achieved by exploiting techniques of…

High Energy Physics - Theory · Physics 2009-10-28 A. C. Avram , P. Candelas , D. Jancic , M. Mandelberg

We investigate different approaches to machine learning of line bundle cohomology on complex surfaces as well as on Calabi-Yau three-folds. Standard function learning based on simple fully connected networks with logistic sigmoids is…

High Energy Physics - Theory · Physics 2020-02-19 Callum R. Brodie , Andrei Constantin , Rehan Deen , Andre Lukas

We observe that an interesting method to produce non-complete intersection subvarieties, the generalized complete intersections from L. Anderson and coworkers, can be understood and made explicit by using standard Cech cohomology machinery.…

Algebraic Geometry · Mathematics 2018-03-14 Alice Garbagnati , Bert van Geemen

We present a robust learning algorithm to detect and handle collisions in 3D deforming meshes. Our collision detector is represented as a bilevel deep autoencoder with an attention mechanism that identifies colliding mesh sub-parts. We use…

Computer Vision and Pattern Recognition · Computer Science 2021-10-18 Qingyang Tan , Zherong Pan , Breannan Smith , Takaaki Shiratori , Dinesh Manocha

We apply machine learning to the problem of finding numerical Calabi-Yau metrics. Building on Donaldson's algorithm for calculating balanced metrics on K\"ahler manifolds, we combine conventional curve fitting and machine-learning…

High Energy Physics - Theory · Physics 2020-10-28 Anthony Ashmore , Yang-Hui He , Burt Ovrut

Deep neural networks have rightfully won the place of one of the most accurate analysis tools in high energy physics. In this paper we will cover several methods of improving the performance of a deep neural network in a classification task…

Data Analysis, Statistics and Probability · Physics 2021-09-20 Lev Dudko , Petr Volkov , Georgii Vorotnikov , Andrei Zaborenko

We approach the well-studied problem of supervised group invariant and equivariant machine learning from the point of view of geometric topology. We propose a novel approach using a pre-processing step, which involves projecting the input…

Machine Learning · Computer Science 2022-02-07 Benjamin Aslan , Daniel Platt , David Sheard

High-precision atomic structure calculations require accurate modelling of electronic correlations typically addressed via the configuration interaction (CI) problem on a multiconfiguration wave function expansion. The latter can easily…

Atomic Physics · Physics 2023-06-22 Pavlo Bilous , Adriana Pálffy , Florian Marquardt

In this paper, we extend the GKZ-system method to the more general case: compact Complete Intersection Calabi-Yau manifolds (CICY). For several one-deformation modulus compact CICYs with D-branes, the on-shell superpotentials in this paper…

High Energy Physics - Theory · Physics 2016-05-12 Hao Zou , Fu-Zhong Yang

We compute the integral homology (including torsion), the topological K-theory, and the Hodge structure on cohomology of Calabi-Yau threefold hypersurfaces and complete intersections in Gorenstein toric Fano varieties. The methods are…

Algebraic Geometry · Mathematics 2014-11-11 Charles F. Doran , John W. Morgan

We analyse line bundle cohomologies on all favourable co-dimension two Complete Intersection Calabi Yau (CICY) manifolds of Picard number two. Our results provide further evidence that the cohomology dimensions of such line bundles are…

High Energy Physics - Theory · Physics 2019-12-16 Magdalena Larfors , Robin Schneider