hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices. - Farah Fahim; Benjamin Hawks; Christian Herwig; James Hirschauer; Sergo Jindariani; Nhan Tran; Luca P. Carloni; Giuseppe Di Guglielmo; Philip C. Harris; Jeffrey D. Krupa; Dylan S. Rankin; Manuel Blanco Valentin; et al. (CoRR, 2021)

A reconfigurable neural network ASIC for detector front-end data compression at the HL-LHC. - Giuseppe Di Guglielmo; Farah Fahim; Christian Herwig; Manuel Blanco Valentin; Javier M. Duarte; Cristian Gingu; Philip C. Harris; James Hirschauer; Martin Kwok; Vladimir Loncar; Yingyi Luo; Llovizna Miranda; et al. (CoRR, 2021)

Differentiable Earth mover's distance for data compression at the high-luminosity LHC. - Rohan Shenoy; Javier M. Duarte; Christian Herwig; James Hirschauer; Daniel Noonan; Maurizio Pierini; Nhan Tran; Cristina Mantilla Suarez (Mach. Learn. Sci. Technol., 2023)

Smart pixel sensors: towards on-sensor filtering of pixel clusters with deep learning. - Jieun Yoo; Jennet Dickinson; Morris Swartz; Giuseppe Di Guglielmo; Alice Bean; Douglas Berry; Manuel Blanco Valentin; Karri Dipetrillo; Farah Fahim; Lindsey Gray; James Hirschauer; Shruti R. Kulkarni; et al. (Mach. Learn. Sci. Technol., 2024)