Marco Letizia
Marco Letizia
Postdoctoral researcher, MaLGa-DIBRIS, University of Genoa
Email verificata su
Citata da
Citata da
Deformed relativity symmetries and the local structure of spacetime
M Letizia, S Liberati
Physical Review D 95 (4), 046007, 2017
Higher-order theories of gravity: diagnosis, extraction and reformulation via non-metric extra degrees of freedom—a review
A Belenchia, M Letizia, S Liberati, E Di Casola
Reports on Progress in Physics 81 (3), 036001, 2018
Learning new physics efficiently with nonparametric methods
M Letizia, G Losapio, M Rando, G Grosso, A Wulzer, M Pierini, M Zanetti, ...
The European Physical Journal C 82 (10), 879, 2022
CaloMan: Fast generation of calorimeter showers with density estimation on learned manifolds
JC Cresswell, BL Ross, G Loaiza-Ganem, H Reyes-Gonzalez, M Letizia, ...
arXiv preprint arXiv:2211.15380, 2022
On the entanglement entropy of quantum fields in causal sets
A Belenchia, DMT Benincasa, M Letizia, S Liberati
Classical and Quantum Gravity 35 (7), 074002, 2018
Phenomenology of effective geometries from quantum gravity
RG Torromé, M Letizia, S Liberati
Physical Review D 92 (12), 124021, 2015
Efficient Unsupervised Learning for Plankton Images
P Didier Alfano, M Rando, M Letizia, F Odone, L Rosasco, VP Pastore
arXiv e-prints, arXiv: 2209.06726, 2022
Localization and diffusion in polymer quantum field theory
M Arzano, M Letizia
Physical Review D 90 (10), 104036, 2014
Quantum ergosphere and brick wall entropy
M Arzano, L Brocki, J Kowalski-Glikman, M Letizia, J Unger
Physics Letters B 797, 134887, 2019
Lorentzian spectral geometry with causal sets
YK Yazdi, M Letizia, A Kempf
Classical and Quantum Gravity 38 (1), 015011, 2020
On the curse of dimensionality for Normalizing Flows
A Coccaro, M Letizia, H Reyes-Gonzalez, R Torre
arXiv preprint arXiv:2302.12024, 2023
Efficient kernel methods for model-independent new physics searches
M Letizia, G Losapio, M Rando, G Grosso, L Rosasco
Machine Learning and the Physical Sciences, NeurIPS 2021, 2021
Goodness of fit by Neyman-Pearson testing
G Grosso, M Letizia, M Pierini, A Wulzer
arXiv preprint arXiv:2305.14137, 2023
Fast kernel methods for Data Quality Monitoring as a goodness-of-fit test
G Grosso, N Lai, M Letizia, J Pazzini, M Rando, L Rosasco, A Wulzer, ...
arXiv preprint arXiv:2303.05413, 2023
A fast and flexible machine learning approach to data quality monitoring
G Grosso, N Lai, M Letizia, J Pazzini, M Rando, A Wulzer, M Zanetti
Machine Learning and the Physical Sciences, NeurIPS 2022, 2023
Probing the spacetime fabric: from fundamental discreteness to quantum geometries
M Letizia
SISSA, 2017
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–16