Francesco Tudisco

Associate Professor (Reader) in Machine Learning

School of Mathematics, The University of Edinburgh
The Maxwell Institute for Mathematical Sciences
School of Mathematics, Gran Sasso Science Institute JCMB, King’s Buildings, Edinburgh EH93FD UK
email: f dot tudisco at ed.ac.uk

Keyword: Perron-Frobenius Theory

Subhomogeneous Deep Equilibrium Models

Pietro Sittoni, Francesco Tudisco
In: International Conference on Machine Learning (ICML), (2024)
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A nonlinear spectral core-periphery detection method for multiplex networks

Kai Bergermann, Martin Stoll, Francesco Tudisco
Proceedings Royal Society A, (2024)
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Nonlinear Perron-Frobenius theorems for nonnegative tensors

Antoine Gautier, Francesco Tudisco, Matthias Hein
SIAM Review (SIGEST paper), 65 : 495--536 (2023)
doi

Core-periphery detection in hypergraphs

Francesco Tudisco, Desmond J. Higham
SIAM Journal on Mathematics of Data Science, 5 (2023)
doi arxiv code

Node and Edge Eigenvector Centrality for Hypergraphs

Francesco Tudisco, Desmond J. Higham
Communications Physics, 4:201 (2021)
doi-open arxiv code

Nonlinear Higher-Order Label Spreading

Francesco Tudisco, Austin R. Benson, Konstantin Prokopchik
In: Proceedings of The Web Conference, : 2402--2413 (2021)
doi arxiv code

Ergodicity coefficients for higher-order stochastic processes

Dario Fasino, Francesco Tudisco
SIAM J Mathematics of Data Science, 2 : 740--769 (2020)
doi arxiv

The Global Convergence of the Nonlinear Power Method for Mixed-Subordinate Matrix Norms

Antoine Gautier, Matthias Hein, Francesco Tudisco
Journal of Scientific Computing, 88 : 21 (2021)
doi-open arxiv

Nonlocal PageRank

Stefano Cipolla, Fabio Durastante, Francesco Tudisco
ESAIM Mathematical Modelling and Numerical Analysis, 55 : 77--97 (2021)
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A framework for second order eigenvector centralities and clustering coefficients

Francesca Arrigo, Desmond J. Higham, Francesco Tudisco
Proceedings Royal Society A, 476 : 20190724 (2020)
arxiv doi-open code

A fast and robust kernel optimization method for core–periphery detection in directed and weighted graphs

Francesco Tudisco, Desmond J. Higham
Applied Network Science, 4 : 1--13 (2019)
doi code

Multi-Dimensional, Multilayer, Nonlinear and Dynamic HITS

Francesca Arrigo, Francesco Tudisco
In: SIAM International Conference on Data Mining, : 369--377 (2019)
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A nonlinear spectral method for core-periphery detection in networks

Francesco Tudisco, Desmond J. Higham
SIAM J. Mathematics of Data Science, 1 : 269--292 (2019)
doi arxiv code

The contractivity of cone-preserving multilinear mappings

Antoine Gautier, Francesco Tudisco
Nonlinearity (IOP and London Mathematical Society), 32 : 4713 (2019)
doi arxiv

A unifying Perron-Frobenius theorem for nonnegative tensors via multihomogeneous maps

Antoine Gautier, Francesco Tudisco, Matthias Hein
SIAM J. Matrix Analysis Appl., 40 : 1206--1231 (2019)
doi arxiv

Node and layer eigenvector centralities for multiplex networks

Francesco Tudisco, Francesca Arrigo, Antoine Gautier
SIAM J. Applied Mathematics, 78 : 853--876 (2018)
doi arxiv code

The Perron-Frobenius theorem for multihomogeneous mappings

Antoine Gautier, Francesco Tudisco, Matthias Hein
SIAM J. Matrix Analysis Appl., 40 : 1179--1205 (2019)
doi arxiv

On complex power nonnegative matrices

Francesco Tudisco, Valerio Cardinali, Carmine Di Fiore
Linear Algebra and its Applications, 471 : 449--468 (2015)
doi arxiv