
Rome Centre on Mathematics for Modelling and Data ScienceS
The aim of the centre is to contribute to the development of mathematical research in the field of modelling and data science through the organization of seminars, conferences and doctoral courses. More important still is the possibility of establishing a permanent forum for the interaction between mathematical research and actual applications. In particular, the interdisciplinary nature of the center allows the creation of stable interactions between those involved in mathematical techniques of data analysis in different departments of the University. At the same time, our goal is to foster interactions with other research centres and even outside the strictly academic sphere.
Organizers
We are also members of the PRIN project GRAFIA.Board
- Domenico Marinucci (coordinator)
- Filippo Bracci
- Piermarco Cannarsa
- Lucia Caramellino
- Andrea Clementi
- Alessio Farcomeni
- Giorgio Gambosi
- Carla Manni
- Paolo Pigato
- Michele Salvi
- Benedetto Scoppola
- Alfonso Sorrentino
- Hendrik Speleers
- Stefano Vigogna
- Nicola Vittorio
Recent publications
-
A. Cipriani, R. Hazra, N. Malhotra M. Salvi
The spectrum of dense kernel-based random graphs
arXiv preprint (2025). -
P. Baldi, D. Marinucci, S. Trapani,
Exchangeability and Irreducible Rotational Invariance
Proceedings of the American Mathematical Society, 153, n.2, 513-521 (2025). -
V. Cammarota, R. Maffucci, D. Marinucci, M. Rossi,
Correlation Structure and Resonant Pairs for Arithmetic Random Waves
Stochastic Processes and their Applications, 181, 105525, 21 pp., (2025). -
L. Makowiec, M. Salvi, R. Sun
Random spanning trees in random environment
arXiv preprint (2024). -
V. Cammarota, D. Marinucci, M. Rossi
Fluctuations of Level Curves for Time-Dependent Spherical Random Fields
Ann. H. Lebesgue, 7, 583-620, (2024). -
F. Angileri, G. Lombardi, A. Fois, R. Faraone, C. Metta, M. Salvi, L.A. Bianchi, M. Fantozzi, S.g. Galfrè, D. Pavesi, M. Parton, F. Morandin
A Systematization of the Wagner Framework: Graph Theory Conjectures and Reinforcement Learning
arXiv preprint (2024). -
S. Bourguin, C. Durastanti, D. Marinucci, A. P. Todino,
Spherical Poisson Waves
Electronic Journal of Probability, Paper No. 8, 27 pp., (2024). -
C. Durastanti, D. Marinucci, A. P. Todino,
Flexible-bandwidth Needlets
Bernoulli, Vol. 30, n. 1, 22-45 (2024). -
F. Bartolucci, M. Carioni, J. A. Iglesias, Y. Korolev, E. Naldi, S. Vigogna,
A Lipschitz spaces view of infinitely wide shallow neural networks
arXiv preprint (2024). -
A. Cipriani, M. Salvi,
Scale-free percolation mixing time
Stochastic Processes and Their Applications (2024). -
S. Di Lillo, D. Marinucci, M. Salvi, S. Vigogna,
Spectral complexity of deep neural networks
arXiv preprint (2024). -
F. Bartolucci, E. De Vito, L. Rosasco, S. Vigogna,
Neural reproducing kernel Banach spaces and representer theorems for deep networks
arXiv preprint (2024). -
V. Cabannes, S. Vigogna,
How many samples are needed to leverage smoothness?
Neural Information Processing Systems (NeurIPS) 36 (2023). -
L. Makowiec, M. Salvi, R. Sun
Diameter of uniform spanning trees on random weighted graphs
arXiv preprint, accepted for publication in Annals de l'Institute Henri Poincaré (2024+). -
V. Cammarota, D. Marinucci, M. Salvi, S. Vigogna
A quantitative functional central limit theorem for shallow neural networks
Modern Stochastics: Theory and Applications (2024). -
S. Favaro, B. Hanin, D. Marinucci, I. Nourdin, G. Peccati
Quantitative CLTs in deep neural networks
Probability Theory and Related Fields (2025). -
V. Cabannes, S. Vigogna,
A Case of Exponential Convergence Rates for SVM
International Conference on Artificial Intelligence and Statistics (AISTATS) 26 (2023). -
A. Lerario, D. Marinucci, M. Rossi, M. Stecconi
Geometry and topology of spin random fields
arXiv preprint (2023). -
A. Caponera, D. Marinucci, A. Vidotto
Multiscale CUSUM tests for time dependent spherical random fields
arXiv preprint (2023). -
J. Carron Duque, D. Marinucci
Geometric methods for spherical data, with applications to Cosmology
arXiv preprint (2023). -
V. Bansaye, M. Salvi,
Branching process and homogeneization for epidemics on spatial random graphs
Electronic Journal of Probability (2024). -
J. Carron Duque, A. Carones, D. Marinucci, M. Migliaccio, N. Vittorio
Minkowski functionals in SO(3) for the spin 2 CMB polarisation field
Journal of Cosmology and Astroparticle Physics, no. 1, Paper No. 039, 26 pp (2024). -
J. Carron Duque, D. Marinucci
Geometric Methods for Spherical Data, with Applications to Cosmology
Annual Review of Statistics and its Applications, 11, 437-460, (2024). -
A. Carones, J. Carron, D. Marinucci, M. Migliaccio, N. Vittorio
Minkowski functionals of CMB polarisation with Pynkowski: theory and applications to Plank and future data
Monthly Notices of the Royal Astronomical Society, Volume 527, 1, 756-773, (2024). -
A. Carones, D. Marinucci, M. Migliaccio, N. Vittorio
Analysis of NILC performance on B modes data of suborbital experiments
arXiv preprint (2023). -
D. Marinucci, M. Rossi, A. Vidotto
Fluctuations of level curves for time dependent spherical random fields
arXiv preprint (2023). -
F. Bartolucci, E. De Vito, L. Rosasco, S. Vigogna,
Understanding neural networks with reproducing kernel Banach spaces
Applied and Computational Harmonic Analysis (2023). -
S. Vigogna, G. Meanti, E. De Vito, L. Rosasco
Multiclass learning with margin: exponential rates with no bias-variance trade-off
International Conference on Machine Learning (ICML) 39 (2022). -
D. Fakhoury, E. Fakhoury, H. Speleers
ExSpliNet: An interpretable and expressive spline-based neural network
Neural Networks 152, pp. 332-346, (2022). -
A. Carones, M. Migliaccio, G. Puglisi, C. Baccigalupi, D. Marinucci, N. Vittorio, D. Poletti
Multi-cluster Needlet ILC for CMB B modes separation
Monthly Notices of the Royal Astronomical Society, Vol. 525, 3117-3135 (2023). -
D. Marinucci
Some Recent Developments on the Geometry of Random Spherical Eigenfunctions
Proceedings of the 8th European Congress of Mathematics, Invited Paper, 338-365, (2023).
