The IceProd framework: Distributed data processing for the IceCube neutrino observatory. - Mark G. Aartsen; Rasha U. Abbasi; Markus Ackermann 003; Jenni Adams; Juan Antonio Aguilar Sánchez; Markus Ahlers; David Altmann; Carlos A. Argüelles Delgado; Jan Auffenberg; Xinhua Bai; Michael F. Baker; Steven W. Barwick; et al. (J. Parallel Distributed Comput., 2015)

Unifying supervised learning and VAEs - automating statistical inference in high-energy physics. - Thorsten Glüsenkamp (CoRR, 2020)

Conditional normalizing flows for IceCube event reconstruction. - Thorsten Glüsenkamp (CoRR, 2023)

VAE-based latent-space classification of RNO-G data. - Thorsten Glüsenkamp (CoRR, 2023)