Efficiency Parameterization with Neural Networks. - Francesco Armando Di Bello; Jonathan Shlomi; Chiara Badiali; Guglielmo Frattari; Eilam Gross; Valerio Ippolito; Marumi Kado (Comput. Softw. Big Sci., 2021)

Configurable calorimeter simulation for AI applications. - Anton Charkin-Gorbulin; Kyle Cranmer; Francesco Armando Di Bello; Etienne Dreyer; Sanmay Ganguly; Eilam Gross; Lukas Heinrich; Marumi Kado; Nilotpal Kakati; Patrick Rieck; Lorenzo Santi; Matteo Tusoni (Mach. Learn. Sci. Technol., 2023)

Fast neural network inference on FPGAs for triggering on long-lived particles at colliders. - Andrea Coccaro; Francesco Armando Di Bello; Stefano Giagu; Lucrezia Rambelli; Nicola Stocchetti (Mach. Learn. Sci. Technol., 2023)

Set-conditional set generation for particle physics. - Nathalie Soybelman; Nilotpal Kakati; Lukas Heinrich; Francesco Armando Di Bello; Etienne Dreyer; Sanmay Ganguly; Eilam Gross; Marumi Kado; Jonathan Shlomi (Mach. Learn. Sci. Technol., 2023)

Accelerating graph-based tracking tasks with symbolic regression. - Nathalie Soybelman; Carlo Schiavi; Francesco Armando Di Bello; Eilam Gross (Mach. Learn. Sci. Technol., 2024)

Mind the Gap: Navigating Inference with Optimal Transport Maps. - Malte Algren; Tobias Golling; Francesco Armando Di Bello; Chris Pollard (CoRR, 2025)