12.–14. Nov. 2025
SoN
Europe/Berlin Zeitzone

Machine Learning Lagrangians

Nicht eingeplant
20m
SoN

SoN

Poster

Sprecher

Takuya Yoda (Kyoto University)

Beschreibung

We provide a simple toy model of machine learning that reconstructs QFT Lagrangians from the data of scattering amplitudes. We evaluate the performance differences that depend on the neural network architecture, and discuss the model's predictive ability for heavy particles that are not explicitly present in law energy scattering data.

Hauptautor

Takuya Yoda (Kyoto University)

Co-Autor

Koji Hashimoto (Kyoto University)

Präsentationsmaterialien

Es gibt derzeit keine Materialien.