Artificial intelligence for improved fitting of trajectories of elementary particles in inhomogeneous dense materials immersed in a magnetic field. - Saúl Alonso-Monsalve; Davide Sgalaberna; Xingyu Zhao; Clark McGrew; André Rubbia (CoRR, 2022)

Deep-learning-based decomposition of overlapping-sparse images: application at the vertex of neutrino interactions. - Saúl Alonso-Monsalve; Davide Sgalaberna; Xingyu Zhao; Adrien Molines; Clark McGrew; André Rubbia (CoRR, 2023)

AI-based particle track identification in scintillating fibres read out with imaging sensors. - Noemi Bührer; Saúl Alonso-Monsalve; Matthew Franks; Till Dieminger; Davide Sgalaberna (CoRR, 2024)