Using Big Data Technologies for HEP Analysis. - Matteo Cremonesi; Claudio Bellini; Bianny Bian; Luca Canali; Vasileios Dimakopoulos; Peter Elmer; Ian Fisk; Maria Girone; Oliver Gutsche; Siew-Yan Hoh; Bo Jayatilaka; Viktor Khristenko; et al. (CoRR, 2019)

Machine Learning Pipelines with Modern Big Data Tools for High Energy Physics. - M. Migliorini; Riccardo Castellotti; Luca Canali; Marco Zanetti (Comput. Softw. Big Sci., 2020)

Learning new physics efficiently with nonparametric methods. - Marco Letizia; Gianvito Losapio; Marco Rando; Gaia Grosso; Andrea Wulzer; Maurizio Pierini; Marco Zanetti; Lorenzo Rosasco (CoRR, 2022)

Fast kernel methods for data quality monitoring as a goodness-of-fit test. - Gaia Grosso; Nicolò Lai; Marco Letizia; Jacopo Pazzini; Marco Rando; Lorenzo Rosasco; Andrea Wulzer; Marco Zanetti (Mach. Learn. Sci. Technol., 2023)

Ultra-low latency quantum-inspired machine learning predictors implemented on FPGA. - Lorenzo Borella; Alberto Coppi; Jacopo Pazzini; Andrea Stanco; Marco Trenti; Andrea Triossi; Marco Zanetti (CoRR, 2024)