Marco Letizia

Publications

Article dans une revue (13)

Refereeing the Referees: Evaluating Two-Sample Tests for Validating Generators in Precision Sciences Samuele Grossi,Marco Letizia,Riccardo Torre Machine Learning: Science and Technology, In press Article dans une revue hal-04863465v1
Multiple testing for signal-agnostic searches for new physics with machine learning Gaia Grosso,Marco Letizia European Physical Journal C: Particles and Fields, In press, ⟨10.1140/epjc/s10052-024-13722-5⟩ Article dans une revue hal-04863462v1
Goodness of fit by Neyman-Pearson testing Gaia Grosso,Marco Letizia,Maurizio Pierini,Andrea Wulzer SciPost Physics, 2023, 16 (5), pp.123. ⟨10.21468/SciPostPhys.16.5.123⟩ Article dans une revue hal-04316732v1
Fast kernel methods for data quality monitoring as a goodness-of-fit test Gaia Grosso,Nicolò Lai,Marco Letizia,Jacopo Pazzini,Marco Randoet al. Machine Learning: Science and Technology, 2023, 4 (3), pp.035029. ⟨10.1088/2632-2153/acebb7⟩ Article dans une revue hal-04316723v1
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, 2023, 16 (8), pp.942. ⟨10.3390/sym16080942⟩ Article dans une revue hal-04316739v1
Learning new physics efficiently with nonparametric methods Marco Letizia,Gianvito Losapio,Marco Rando,Gaia Grosso,Andrea Wulzeret al. European Physical Journal C: Particles and Fields, 2022, 82 (10), pp.879. ⟨10.1140/epjc/s10052-022-10830-y⟩ Article dans une revue hal-04316761v1
Lorentzian spectral geometry with causal sets Yasaman Yazdi,Marco Letizia,Achim Kempf Classical and Quantum Gravity, 2020, 38 (1), pp.015011. ⟨10.1088/1361-6382/abc3f8⟩ Article dans une revue hal-04317934v1
Quantum ergosphere and brick wall entropy M. Arzano,L. Brocki,J. Kowalski-Glikman,Marco Letizia,J. Unger Physics Letters B, 2019, 797, pp.134887. ⟨10.1016/j.physletb.2019.134887⟩ Article dans une revue hal-04317949v1
On the entanglement entropy of quantum fields in causal sets Alessio Belenchia,Dionigi Benincasa,Marco Letizia,Stefano Liberati Classical and Quantum Gravity, 2018, 35 (7), pp.074002. ⟨10.1088/1361-6382/aaae27⟩ Article dans une revue hal-04317971v1
Higher-order theories of gravity: diagnosis, extraction and reformulation via non-metric extra degrees of freedom—a review Alessio Belenchia,Marco Letizia,Stefano Liberati,Eolo Di Casola Reports on Progress in Physics, 2018, 81 (3), pp.036001. ⟨10.1088/1361-6633/aaa4ab⟩ Article dans une revue hal-04318024v1
Deformed relativity symmetries and the local structure of spacetime Marco Letizia,Stefano Liberati Physical Review D, 2017, 95 (4), pp.046007. ⟨10.1103/PhysRevD.95.046007⟩ Article dans une revue hal-04318034v1
Phenomenology of effective geometries from quantum gravity Ricardo Gallego Torromé,Marco Letizia,Stefano Liberati Physical Review D, 2015, 92 (12), pp.124021. ⟨10.1103/PhysRevD.92.124021⟩ Article dans une revue hal-04318050v1
Localization and diffusion in polymer quantum field theory Michele Arzano,Marco Letizia Physical Review D, 2014, 90 (10), pp.104036. ⟨10.1103/PhysRevD.90.104036⟩ Article dans une revue hal-04318068v1

Pré-publication, Document de travail (1)

CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation Krause Claudius,Giannelli Michele Faucci,Kasieczka Gregor,Nachman Benjamin,Salamani Dalilaet al. 2025 Pré-publication, Document de travail hal-04863474v1

Proceedings/Recueil des communications (1)

Efficient Unsupervised Learning for Plankton Images Paolo Didier Alfano,Marco Rando,Marco Letizia,Francesca Odone,Lorenzo Rosascoet al. IEEE, pp.1314-1321, 2022, ⟨10.1109/ICPR56361.2022.9956360⟩ Proceedings/Recueil des communications hal-04317921v1

Communication dans un congrès (2)

A fast and flexible machine learning approach to data quality monitoring Gaia Grosso,Marco Letizia,Jacopo Pazzini,Marco Rando,Andrea Wulzeret al. NeurIPS 2022 workshop: Machine Learning and the Physical Sciences, Dec 2022, New Orleans (Louisiana), United States Communication dans un congrès hal-04316747v1
CaloMan: Fast generation of calorimeter showers with density estimation on learned manifolds Jesse C. Cresswell,Brendan Leigh Ross,Gabriel Loaiza-Ganem,Humberto Reyes-Gonzalez,Marco Letiziaet al. NeurIPS 2022 workshop: Machine Learning and the Physical Sciences, Dec 2022, New Orleans (Louisiana), United States Communication dans un congrès hal-04317893v1