Ponente
Miguel Cárdenas-Montes
(CIEMAT)
Descripción
Deep Learning (DL) is nowadays ubiquitous. In Particle Physics there is a wide portfolio of successful applications. Position reconstruction is one of the areas where DL has been applied in the past. In this talk we present preliminary research on position reconstruction DL-based in large liquid argon detectors, and a roadmap of future developments. Additionally, efforts to apply Explainable Artificial Intelligence (XAI) are also shown. XAI allows understanding which are the informative variables. Thus, it permits an in-depth comprehension of the decision-making process at the same time it avoids biased learning.
Autor primario
Miguel Cárdenas-Montes
(CIEMAT)
Coautor
Roberto Santorelli
(CIEMAT)
