Response to NITRD, NCO, NSF Request for Information on "Update to the 2016 National Artificial Intelligence Research and Development Strategic Plan". - James F. Amundson; James Annis; Camille Avestruz; D. Bowring; João Caldeira; Giuseppe Cerati; Chihway L. Chang; Scott Dodelson; D. Elvira; A. Farahi; Krzysztof L. Genser; Lindsey Gray; et al. (CoRR, 2019)

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)

Parallelizing the Unpacking and Clustering of Detector Data for Reconstruction of Charged Particle Tracks on Multi-core CPUs and Many-core GPUs. - Giuseppe Cerati; Peter Elmer; Brian J. Gravelle; Matti J. Kortelainen; Vyacheslav Krutelyov; Steven Lantz; Mario Masciovecchio; Kevin McDermott; Boyana Norris; Allison Reinsvold Hall; Micheal Reid; Daniel Riley; et al. (CoRR, 2021)

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)

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)

Exploring code portability solutions for HEP with a particle tracking test code. - Hammad Ather; Sophie Berkman; Giuseppe Cerati; Matti J. Kortelainen; Ka Hei Martin Kwok; Steven Lantz; Seyong Lee; Boyana Norris; Michael Reid; Allison Reinsvold Hall; Daniel Riley; Alexei Strelchenko; et al. (Frontiers Big Data, 2024)