27 citations · 72 across the 11 of their papers we have counts for
11 papers
Sven: Singular Value Descent as a Computationally Efficient Natural Gradient Method
Samuel Bright-Thonney, Thomas R. Harvey, Andre Lukas +1
We introduce Sven (Singular Value dEsceNt), a new optimization algorithm for neural networks that exploits the natural decomposition of loss functions into a sum over individual da…
Fermion Masses and Mixing in String-Inspired Models
Andrei Constantin, Kit Fraser-Taliente, Thomas R. Harvey +2
We study a class of supersymmetric Froggatt-Nielsen (FN) models with multiple U(1) symmetries and Standard Model (SM) singlets inspired by heterotic string compactifications on Cal…
Computation of Quark Masses from String Theory
Andrei Constantin, Kit Fraser-Taliente, Thomas R. Harvey +2
We present a numerical computation, based on neural network techniques, of the physical Yukawa couplings in a heterotic string theory compactification on a smooth Calabi-Yau threef…
Enumerating Calabi-Yau Manifolds: Placing bounds on the number of diffeomorphism classes in the Kreuzer-Skarke list
Aditi Chandra, Andrei Constantin, Kit Fraser-Taliente +2
The diffeomorphism class of simply-connected smooth Calabi-Yau threefolds with torsion-free cohomology is determined via certain basic topological invariants: the Hodge numbers, th…
Decoding Nature with Nature's Tools: Heterotic Line Bundle Models of Particle Physics with Genetic Algorithms and Quantum Annealing
Steve Abel, Andrei Constantin, Thomas R. Harvey +2
The string theory landscape may include a multitude of ultraviolet embeddings of the Standard Model, but identifying these has proven difficult due to the enormous number of availa…
Spatially Homogeneous Universes with Late-Time Anisotropy
Andrei Constantin, Thomas R. Harvey, Sebastian von Hausegger +1
The cosmological principle asserts that on sufficiently large scales the Universe is homogeneous and isotropic on spatial slices. To deviate from this principle requires a departur…
Cosmic Inflation and Genetic Algorithms
Steven Abel, Andrei Constantin, Thomas R. Harvey +1
Large classes of standard single-field slow-roll inflationary models consistent with the required number of e-folds, the current bounds on the spectral index of scalar perturbation…
String Model Building, Reinforcement Learning and Genetic Algorithms
Steven Abel, Andrei Constantin, Thomas R. Harvey +1
We investigate reinforcement learning and genetic algorithms in the context of heterotic Calabi-Yau models with monad bundles. Both methods are found to be highly efficient in iden…
Evolving Heterotic Gauge Backgrounds: Genetic Algorithms versus Reinforcement Learning
Steven Abel, Andrei Constantin, Thomas R. Harvey +1
The immensity of the string landscape and the difficulty of identifying solutions that match the observed features of particle physics have raised serious questions about the predi…
Heterotic String Model Building with Monad Bundles and Reinforcement Learning
Andrei Constantin, Thomas R. Harvey, Andre Lukas
We use reinforcement learning as a means of constructing string compactifications with prescribed properties. Specifically, we study heterotic SO(10) GUT models on Calabi-Yau three…
Particle Physics Model Building with Reinforcement Learning
T. R. Harvey, A. Lukas
In this paper, we apply reinforcement learning to particle physics model building. As an example environment, we use the space of Froggatt-Nielsen type models for quark masses. Usi…