Marco Letizia

14 papers B 1Journal 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
An Efficient Permutation-Based Kernel Two-Sample Test.
CoRR
Antoine Chatalic, Marco Letizia, Nicolas Schreuder, Lorenzo Rosasco
2025 J jnl
Learning to Validate Generative Models: a Goodness-of-Fit Approach.
CoRR
Pietro Cappelli, Gaia Grosso, Marco Letizia, Humberto Reyes-González, Marco Zanetti
2025 J jnl
Refereeing the referees: evaluating two-sample tests for validating generators in precision sciences.
Mach. Learn. Sci. Technol.
Samuele Grossi, Marco Letizia, Riccardo Torre
2024 J jnl
CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation.
CoRR
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
2024 J jnl
Comparison of Affine and Rational Quadratic Spline Coupling and Autoregressive Flows through Robust Statistical Tests.
Symmetry
Andrea Coccaro, Marco Letizia, Humberto Reyes-González, Riccardo Torre
2024 J jnl
Multiple testing for signal-agnostic searches of new physics with machine learning.
CoRR
Gaia Grosso, Marco Letizia
2024 J jnl
Refereeing the Referees: Evaluating Two-Sample Tests for Validating Generators in Precision Sciences.
CoRR
Samuele Grossi, Marco Letizia, Riccardo Torre
2023 J jnl
Fast kernel methods for Data Quality Monitoring as a goodness-of-fit test.
CoRR
Gaia Grosso, Nicolò Lai, Marco Letizia, Jacopo Pazzini, Marco Rando, Lorenzo Rosasco, Andrea Wulzer, Marco Zanetti
2023 J jnl
Fast kernel methods for data quality monitoring as a goodness-of-fit test.
Mach. Learn. Sci. Technol.
Gaia Grosso, Nicolò Lai, Marco Letizia, Jacopo Pazzini, Marco Rando, Lorenzo Rosasco, Andrea Wulzer, Marco Zanetti
2023 J jnl
On the curse of dimensionality for Normalizing Flows.
CoRR
Andrea Coccaro, Marco Letizia, Humberto Reyes-González, Riccardo Torre
2022 J jnl
CaloMan: Fast generation of calorimeter showers with density estimation on learned manifolds.
CoRR
Jesse C. Cresswell, Brendan Leigh Ross, Gabriel Loaiza-Ganem, Humberto Reyes-González, Marco Letizia, Anthony L. Caterini
2022 B conf
Efficient Unsupervised Learning for Plankton Images.
ICPR
Paolo Didier Alfano, Marco Rando, Marco Letizia, Francesca Odone, Lorenzo Rosasco, Vito Paolo Pastore
2022 J jnl
Efficient Unsupervised Learning for Plankton Images.
CoRR
Paolo Didier Alfano, Marco Rando, Marco Letizia, Francesca Odone, Lorenzo Rosasco, Vito Paolo Pastore
2022 J jnl
Learning new physics efficiently with nonparametric methods.
CoRR
Marco Letizia, Gianvito Losapio, Marco Rando, Gaia Grosso, Andrea Wulzer, Maurizio Pierini, Marco Zanetti, Lorenzo Rosasco