3 papers
cs.LG2026
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…
hep-th2025
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…
hep-th2024
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…