A Convolutional Neural Network Neutrino Event Classifier. - Adam Aurisano; Alexander Radovic; D. Rocco; Alexander Himmel; M. D. Messier; E. Niner; G. Pawloski; Fernanda Psihas; Alexandre Sousa; P. Vahle (CoRR, 2016)

Machine Learning in High Energy Physics Community White Paper. - Kim Albertsson; Piero Altoe; Dustin Anderson; Michael Andrews; Juan Pedro Araque Espinosa; Adam Aurisano; Laurent Basara; Adrian Bevan; Wahid Bhimji; Daniele Bonacorsi; Paolo Calafiura; Mario Campanelli; et al. (CoRR, 2018)

Machine learning at the energy and intensity frontiers of particle physics. - Alexander Radovic; Mike Williams; David Rousseau; Michael Kagan; Daniele Bonacorsi; Alexander Himmel; Adam Aurisano; Kazuhiro Terao; Taritree Wongjirad (Nat., 2018)

Track Seeding and Labelling with Embedded-space Graph Neural Networks. - Nicholas Choma; Daniel Murnane; Xiangyang Ju; Paolo Calafiura; Sean Conlon; Steven Farrell; Prabhat; Giuseppe Cerati; Lindsey Gray; Thomas Klijnsma; Jim Kowalkowski; Panagiotis Spentzouris; et al. (CoRR, 2020)

Physics and Computing Performance of the Exa.TrkX TrackML Pipeline. - Xiangyang Ju; Daniel Murnane; Paolo Calafiura; Nicholas Choma; Sean Conlon; Steven Farrell; Yaoyuan Xu; Maria Spiropulu; Jean-Roch Vlimant; Adam Aurisano; Jeremy Hewes; Giuseppe Cerati; et al. (CoRR, 2021)

Automated Segmentation of Computed Tomography Images with Submanifold Sparse Convolutional Networks. - Saúl Alonso-Monsalve; Leigh H. Whitehead; Adam Aurisano; Lorena Escudero Sanchez (CoRR, 2022)

A Case Study of Data Management Challenges Presented in Large-Scale Machine Learning Workflows. - Claire Songhyun Lee; V. Hewes; Giuseppe Cerati; Jim Kowalkowski; Adam Aurisano; Ankit Agrawal 001; Alok N. Choudhary; Wei-Keng Liao (CCGrid, 2023)

NuGraph2: A Graph Neural Network for Neutrino Physics Event Reconstruction. - V. Hewes; Adam Aurisano; Giuseppe Cerati; Jim Kowalkowski; Claire Songhyun Lee; Wei-keng Liao; Daniel Grzenda; Kaushal Gumpula; Xiaohe Zhang (CoRR, 2024)