2 citations · 3 across the 6 of their papers we have counts for
7 papers
Symbolic Regression with Multimodal Large Language Models and Kolmogorov Arnold Networks
Thomas R. Harvey, Fabian Ruehle, Kit Fraser-Taliente +1
We present a novel approach to symbolic regression using vision-capable large language models (LLMs) and the ideas behind Google DeepMind's Funsearch. The LLM is given a plot of a…
Generative Modeling for Mathematical Discovery
Jordan S. Ellenberg, Cristofero S. Fraser-Taliente, Thomas R. Harvey +2
We present a new implementation of the LLM-driven genetic algorithm {\it funsearch}, whose aim is to generate examples of interest to mathematicians and which has already had some…
Diffusion Models for Cayley Graphs
Michael R. Douglas, Kit Fraser-Taliente
We review the problem of finding paths in Cayley graphs of groups and group actions, using the Rubik's cube as an example, and we list several more examples of significant mathemat…
Not So Flat Metrics
Kit Fraser-Taliente, Thomas R. Harvey, Manki Kim
In order to be in control of the derivative expansion, geometric string compactifications are understood in the context of a large volume approximation. In this letter, we con…
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…
Prospects for direct CP tests of interactions
Rodrigo Alonso, Cristofero Fraser-Taliente, Chris Hays +1
We study the prospects for probing the CP structure of interactions using the decays of the lightest baryon formed in the quark's hadronization. The low yields of recon…