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)

QONNX: Representing Arbitrary-Precision Quantized Neural Networks. - Alessandro Pappalardo; Yaman Umuroglu; Michaela Blott; Jovan Mitrevski; Benjamin Hawks; Nhan Tran; Vladimir Loncar; Sioni Summers; Hendrik Borras; Jules Muhizi; Matthew Trahms; Shih-Chieh Hsu; et al. (CoRR, 2022)

End-to-end codesign of Hessian-aware quantized neural networks for FPGAs and ASICs. - Javier Campos; Zhen Dong 003; Javier M. Duarte; Amir Gholami; Michael W. Mahoney; Jovan Mitrevski; Nhan Tran (CoRR, 2023)

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)

End-to-end codesign of Hessian-aware quantized neural networks for FPGAs. - Javier Campos; Jovan Mitrevski; Nhan Tran; Zhen Dong 003; Amir Gholaminejad; Michael W. Mahoney; Javier M. Duarte (ACM Trans. Reconfigurable Technol. Syst., 2024)

Intelligent experiments through real-time AI: Fast Data Processing and Autonomous Detector Control for sPHENIX and future EIC detectors. - Jakub Kvapil; Giorgian Borca-Tasciuc; H. Bossi; K. Chen; Y. Chen; Yasser Corrales Morales; H. Da Costa; C. Da Silva; C. Dean; J. Durham; S. Fu; Cong Hao; et al. (CoRR, 2025)