Marco Letizia

According to our database, Marco Letizia authored at least 10 papers between 2022 and 2025.

Collaborative distances:

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

2025

An Efficient Permutation-Based Kernel Two-Sample Test.

Antoine Chatalic, Marco Letizia, Nicolas Schreuder, Lorenzo Rosasco

CoRR, February, 2025

Refereeing the referees: evaluating two-sample tests for validating generators in precision sciences.

Samuele Grossi, Marco Letizia, Riccardo Torre

Mach. Learn. Sci. Technol., 2025

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, August, 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, Renato Paulo Da Costa Cardoso, Anthony L. Caterini, Nadezda Chernyavskaya, Federico A. G. Corchia, Jesse C. Cresswell, Sascha Diefenbacher, Etienne Dreyer, Vijay Ekambaram, Engin Eren, Florian Ernst, Luigi Favaro, Matteo Franchini, Frank Gaede, Eilam Gross, Shih-Chieh Hsu, Kristina Jaruskova, Benno Käch, Jayant Kalagnanam, Raghav Kansal, Taewoo Kim, Dmitrii Kobylianskii, Anatolii Korol, William Korcari, Dirk Krücker, Katja Krüger, Marco Letizia, Shu Li, Qibin Liu, Xiulong Liu, Gabriel Loaiza-Ganem, Thandikire Madula, Peter McKeown, Isabell-A. Melzer-Pellmann, Vinicius Mikuni, Nam Nguyen, Ayodele Ore, Sofia Palacios Schweitzer, Ian Pang, Kevin Pedro, Tilman Plehn, Witold Pokorski, Huilin Qu, Piyush Raikwar, John A. Raine, Humberto Reyes-González, Lorenzo Rinaldi, Brendan Leigh Ross, Moritz A. W. Scham, Simon Schnake, Chase Shimmin, Eli Shlizerman, Nathalie Soybelman, Mudhakar Srivatsa, Kalliopi Tsolaki, Sofia Vallecorsa, Kyongmin Yeo, Rui Zhang

CoRR, 2024

Multiple testing for signal-agnostic searches of new physics with machine learning.

Gaia Grosso, Marco Letizia

CoRR, 2024

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

On the curse of dimensionality for Normalizing Flows.

Andrea Coccaro, Marco Letizia, Humberto Reyes-González, Riccardo Torre

CoRR, 2023

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

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

Efficient Unsupervised Learning for Plankton Images.

Paolo Didier Alfano, Marco Rando, Marco Letizia, Francesca Odone, Lorenzo Rosasco, Vito Paolo Pastore

Proceedings of the 26th International Conference on Pattern Recognition, 2022