A Convolutional Neural Network based Cascade Reconstruction for the IceCube Neutrino Observatory. - Rasha U. Abbasi; Markus Ackermann 003; Jenni Adams; Juan Antonio Aguilar Sánchez; Markus Ahlers; Markus Ahrens; Cyril Martin Alispach; Antonio Augusto Alves Jr.; Najia Moureen Amin; Rui An; Karen Andeen; Tyler Anderson; et al. (CoRR, 2021)

GraphNeT: Graph neural networks for neutrino telescope event reconstruction. - Andreas Søgaard; Rasmus F. Ørsøe; Leon Bozianu; Morten Holm; Kaare Endrup Iversen; Tim Guggenmos; Martin Ha Minh; Philipp Eller; Troels C. Petersen (CoRR, 2022)

Parallelizing MCMC sampling via space partitioning. - Vasyl Hafych; Philipp Eller; Oliver Schulz; Allen Caldwell (Stat. Comput., 2022)

GraphNeT: Graph neural networks for neutrino telescope event reconstruction. - Andreas Søgaard; Rasmus F. Ørsøe; Morten Holm; Leon Bozianu; Aske Rosted; Troels C. Petersen; Kaare Endrup Iversen; Andreas Hermansen; Tim Guggenmos; Peter Andresen; Martin Ha Minh; Ludwig Neste; et al. (J. Open Source Softw., 2023)