Marco Zanetti

According to our database, Marco Zanetti authored at least 7 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A Latency-Constrained, Gated Recurrent Unit (GRU) Implementation in the Versal AI Engine.

M. Sapkas, Andrea Triossi, Marco Zanetti

CoRR, November, 2025

Learning to Validate Generative Models: a Goodness-of-Fit Approach.

Pietro Cappelli, Gaia Grosso, Marco Letizia, Humberto Reyes-González, Marco Zanetti

CoRR, November, 2025

Ultra-low latency quantum-inspired machine learning predictors implemented on FPGA.

Lorenzo Borella, Alberto Coppi, Andrea Triossi, Jacopo Pazzini, Marco Zanetti, Andrea Stanco, Marco Trenti

Mach. Learn. Sci. Technol., 2025

2023

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., September, 2023

2022

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

2020

Machine Learning Pipelines with Modern Big Data Tools for High Energy Physics.

M. Migliorini, Riccardo Castellotti, Luca Canali, Marco Zanetti

Comput. Softw. Big Sci., December, 2020

2019

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, Andrea Luiselli, Andrew Melo, Evangelos Motesnitsalis, Dominick Olivito, Jacopo Pazzini, Jim Pivarski, Alexey Svyatkovskiy, Marco Zanetti

CoRR, 2019