Efficient Unsupervised Learning for Plankton Images. - Paolo Didier Alfano; Marco Rando; Marco Letizia; Francesca Odone; Lorenzo Rosasco; Vito Paolo Pastore (ICPR, 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)

CaloMan: Fast generation of calorimeter showers with density estimation on learned manifolds. - Jesse C. Cresswell; Brendan Leigh Ross; Gabriel Loaiza-Ganem; Humberto Reyes-González; Marco Letizia; Anthony L. Caterini (CoRR, 2022)

On the curse of dimensionality for Normalizing Flows. - Andrea Coccaro; Marco Letizia; Humberto Reyes-González; Riccardo Torre (CoRR, 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., 2023)

Multiple testing for signal-agnostic searches of new physics with machine learning. - Gaia Grosso; Marco Letizia (CoRR, 2024)

CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation. - Claudius Krause; Michele Faucci Giannelli; Gregor Kasieczka; Benjamin Nachman; Dalila Salamani; David Shih; Anna Zaborowska; Oz Amram; Kerstin Borras; Matthew R. Buckley; Erik Buhmann; Thorsten Buss; et al. (CoRR, 2024)

Comparison of Affine and Rational Quadratic Spline Coupling and Autoregressive Flows through Robust Statistical Tests. - Andrea Coccaro; Marco Letizia; Humberto Reyes-González; Riccardo Torre (Symmetry, 2024)

Refereeing the referees: evaluating two-sample tests for validating generators in precision sciences. - Samuele Grossi; Marco Letizia; Riccardo Torre (Mach. Learn. Sci. Technol., 2025)

An Efficient Permutation-Based Kernel Two-Sample Test. - Antoine Chatalic; Marco Letizia; Nicolas Schreuder; Lorenzo Rosasco (CoRR, 2025)