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Autoencoding is a popular method in representation learning. Conventional autoencoders employ symmetric encoding-decoding procedures and a simple Euclidean latent space to detect hidden low-dimensional structures in an unsupervised way.…

Machine Learning · Computer Science 2024-10-07 Stefan C. Schonsheck , Scott Mahan , Timo Klock , Alexander Cloninger , Rongjie Lai

Free quotients of Calabi-Yau manifolds play an important role in string compactification. In this paper, we explore machine learning techniques, such as fully connected neural networks and multi-head attention (MHA) models, as a potential…

High Energy Physics - Theory · Physics 2025-08-27 Wei Cui , Xin Gao , Mohsen Karkheiran , Juntao Wang

This thesis is concerned with heterotic E8 x E8 string models that can produce quasirealistic N = 1 supersymmetric extensions of the Standard Model in the low-energy limit. We start rather generally by deriving the four-dimensional spectrum…

High Energy Physics - Theory · Physics 2022-04-05 Stefan Blesneag

While the earliest applications of AI methodologies to pure mathematics and theoretical physics began with the study of Hodge numbers of Calabi-Yau manifolds, the topology type of such manifold also crucially depend on their intersection…

Algebraic Geometry · Mathematics 2025-12-02 Yang-Hui He , Zhi-Gang Yao , Shing-Tung Yau

In these lecture notes, we survey the landscape of Calabi-Yau threefolds, and the use of machine learning to explore it. We begin with the compact portion of the landscape, focusing in particular on complete intersection Calabi-Yau…

High Energy Physics - Theory · Physics 2020-02-05 Jiakang Bao , Yang-Hui He , Edward Hirst , Stephen Pietromonaco

We introduce a new method to study mixed characteristic deformation of line bundles. In particular, for sufficiently large smooth projective families $f : \mathscr{X} \to \mathscr{S}$ defined over the ring of $N$-integers…

Algebraic Geometry · Mathematics 2026-02-11 David Urbanik , Ziquan Yang

Compactifications of the heterotic string on T^d are the simplest, yet rich enough playgrounds to uncover swampland ideas: the U(1)^{d+16} left-moving gauge symmetry gets enhanced at special points in moduli space only to certain groups. We…

High Energy Physics - Theory · Physics 2020-12-02 Anamaría Font , Bernardo Fraiman , Mariana Graña , Carmen A. Núñez , Héctor Parra De Freitas

This work studies the intersection of continual and federated learning, in which independent agents face unique tasks in their environments and incrementally develop and share knowledge. We introduce a mathematical framework capturing the…

Machine Learning · Computer Science 2024-12-24 Long Le , Marcel Hussing , Eric Eaton

We discuss the use of gauge fields to stabilize complex structure moduli in Calabi-Yau three-fold compactifications of heterotic string and M-theory. The requirement that the gauge fields in such models preserve supersymmetry leads to a…

High Energy Physics - Theory · Physics 2013-04-10 Lara B. Anderson , James Gray , Andre Lukas , Burt Ovrut

We present an extensive search for a general class of flipped $SU(5)$ models built within the free fermionic formulation of the heterotic string. We describe a set of algorithms which constitute the basis for a computer program capable of…

High Energy Physics - Theory · Physics 2009-10-22 J. Lopez , D. Nanopoulos , K. Yuan

Using Z3 asymmetric orbifolds in heterotic string theory, we construct N=1 SUSY three-generation models with the standard model gauge group SU(3)_C \times SU(2)_L \times U(1)_Y and the left-right symmetric group SU(3)_C \times SU(2)_L…

High Energy Physics - Theory · Physics 2015-06-17 Florian Beye , Tatsuo Kobayashi , Shogo Kuwakino

In this manuscript, we demonstrate, using several regression techniques, that the remaining independent Hodge numbers of complete intersection Calabi-Yau four-folds and five-folds can be machine learned from $h^{1,1}$ and $h^{2,1}$.…

High Energy Physics - Theory · Physics 2025-12-23 Kaniba Mady Keita , Younouss Hamèye Dicko

Embodied agents operating in human spaces must be able to master how their environment works: what objects can the agent use, and how can it use them? We introduce a reinforcement learning approach for exploration for interaction, whereby…

Computer Vision and Pattern Recognition · Computer Science 2020-10-20 Tushar Nagarajan , Kristen Grauman

In this work we systematically enumerate genus one fibrations in the class of 7,890 Calabi-Yau manifolds defined as complete intersections in products of projective spaces, the so-called CICY threefolds. This survey is independent of the…

High Energy Physics - Theory · Physics 2017-11-22 Lara B. Anderson , Xin Gao , James Gray , Seung-Joo Lee

We provide a framework for exploring physics beyond the Standard Model with reinforcement learning using graph representations of new physics theories. The graph structure allows for model-building without a priori specifying definite…

High Energy Physics - Phenomenology · Physics 2024-07-11 George N. Wojcik , Shu Tian Eu , Lisa L. Everett

In order for agents trained by deep reinforcement learning to work alongside humans in realistic settings, we will need to ensure that the agents are \emph{robust}. Since the real world is very diverse, and human behavior often changes in…

Machine Learning · Computer Science 2021-01-15 Paul Knott , Micah Carroll , Sam Devlin , Kamil Ciosek , Katja Hofmann , A. D. Dragan , Rohin Shah

We study the moduli space of SU(3) structure manifolds X that form the internal compact spaces in four-dimensional N=1/2 domain wall solutions of heterotic supergravity with flux. Together with the direction perpendicular to the…

High Energy Physics - Theory · Physics 2014-11-13 Xenia de la Ossa , Magdalena Larfors , Eirik E. Svanes

We study heterotic Calabi-Yau models with hypercharge flux breaking, where the visible E8 gauge group is directly broken to the standard model group by a non-flat gauge bundle, rather than by a two-step process involving an intermediate…

High Energy Physics - Theory · Physics 2015-06-23 Lara B. Anderson , Andrei Constantin , Seung-Joo Lee , Andre Lukas

We develop a technique to study curves in a variety which has a degeneration into some union of varieties. The class of such varieties is very broad, but the theory becomes particularly useful when the variety has a degeneration into a…

Algebraic Geometry · Mathematics 2015-10-08 Takeo Nishinou

We discuss chiral supersymmetric compactifications of the SO(32) heterotic string on Calabi-Yau manifolds equipped with direct sums of stable bundles with structure group U(n). In addition we allow for non-perturbative heterotic…

High Energy Physics - Theory · Physics 2010-02-03 Ralph Blumenhagen , Gabriele Honecker , Timo Weigand
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