Applications and Techniques for Fast Machine Learning in Science. - Allison McCarn Deiana; Nhan Tran; Joshua Agar; Michaela Blott; Giuseppe Di Guglielmo; Javier M. Duarte; Philip C. Harris; Scott Hauck; Mia Liu; Mark S. Neubauer; Jennifer Ngadiuba; Seda Ogrenci Memik; et al. (CoRR, 2021)

Applications and Techniques for Fast Machine Learning in Science. - Allison McCarn Deiana; Nhan Tran; Joshua Agar; Michaela Blott; Giuseppe Di Guglielmo; Javier M. Duarte; Philip C. Harris; Scott Hauck; Mia Liu; Mark S. Neubauer; Jennifer Ngadiuba; Seda Ogrenci Memik; et al. (Frontiers Big Data, 2022)

Beyond PID Controllers: PPO with Neuralized PID Policy for Proton Beam Intensity Control in Mu2e. - Chenwei Xu; Jerry Yao-Chieh Hu; Aakaash Narayanan; Mattson Thieme; Vladimir Nagaslaev; Mark Austin; Jeremy Arnold; Jose Berlioz; Pierrick Hanlet; Aisha Ibrahim; Dennis Nicklaus; Jovan Mitrevski; et al. (CoRR, 2023)

ML-Based Real-Time Control at the Edge: An Approach Using hls4ml. - Rui Shi; Seda Ogrenci; J. M. Arnold; J. R. Berlioz; Pierrick Hanlet; Kyle J. Hazelwood; M. A. Ibrahim; Han Liu 001; V. P. Nagaslaev; Aakaash Narayanan; D. J. Nicklaus; Jovan Mitrevski; et al. (IPDPS (Workshops), 2024)

Towards Unlocking Insights from Logbooks Using AI. - Antonin Sulc; Alex Bien; Annika Eichler; Daniel Ratner; Florian Rehm; Frank Mayet; Gregor Hartmann; Hayden Hoschouer; Henrik Tünnermann; Jan Kaiser; Jason St. John; Jennefer Maldonado; et al. (CoRR, 2024)

Corrigendum: Applications and techniques for fast machine learning in science. - Allison McCarn Deiana; Nhan Tran; Joshua Agar; Michaela Blott; Giuseppe Di Guglielmo; Javier M. Duarte; Philip C. Harris; Scott Hauck; Mia Liu; Mark S. Neubauer; Jennifer Ngadiuba; Seda Ogrenci-Memik; et al. (Frontiers Big Data, 2024)