59 citations · 342 across the 19 of their papers we have counts for
19 papers
FeynTune: Large Language Models for High-Energy Theory
Paul Richmond, Prarit Agarwal, Borun Chowdhury +2
We present specialized Large Language Models for theoretical High-Energy Physics, obtained as 20 fine-tuned variants of the 8-billion parameter Llama-3.1 model. Each variant was tr…
Learning S-Matrix Phases with Neural Operators
V. Niarchos, C. Papageorgakis
We use Fourier Neural Operators (FNOs) to study the relation between the modulus and phase of amplitudes in elastic scattering at fixed energies. Unlike previous approache…
Covariantly Constant Anomalies on Conformal Manifolds
Enrico Andriolo, Vasilis Niarchos, Constantinos Papageorgakis +1
Operators with integer scaling dimensions in even-dimensional conformal field theories exhibit well-known type-B Weyl anomalies. In general, these anomalies depend non-trivially on…
6D (2,0) Bootstrap with soft-Actor-Critic
Gergely Kántor, Vasilis Niarchos, Constantinos Papageorgakis +1
We study numerically the 6D (2,0) superconformal bootstrap using the soft-Actor-Critic (SAC) algorithm as a stochastic optimizer. We focus on the four-point functions of scalar sup…
Solving Conformal Field Theories with Artificial Intelligence
Gergely Kántor, Vasilis Niarchos, Constantinos Papageorgakis
In this paper we deploy for the first time Reinforcement-Learning algorithms in the context of the conformal-bootstrap programme to obtain numerical solutions of conformal field th…
Conformal Bootstrap with Reinforcement Learning
Gergely Kántor, Vasilis Niarchos, Constantinos Papageorgakis
We introduce the use of reinforcement-learning (RL) techniques to the conformal-bootstrap programme. We demonstrate that suitable soft Actor-Critic RL algorithms can perform effici…