Francesco Tudisco

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 76

Top Topics

Spectral Clustering

Stochastic Process

Community Detection

Top Venues

SIAM J. Matrix Anal. Appl.

SIAM J. Math. Data Sci.

SIAM J. Appl. Math.

Publications

Nicola Guglielmi, Arturo De Marinis, Anton Savostianov, Francesco Tudisco
Contractivity of neural ODEs: an eigenvalue optimization problem. CoRR (2024)
Pietro Sittoni, Francesco Tudisco
Subhomogeneous Deep Equilibrium Models. CoRR (2024)
Anton Savostianov, Francesco Tudisco, Nicola Guglielmi
Cholesky-like Preconditioner for Hodge Laplacians via Heavy Collapsible Subcomplex. CoRR (2024)
Emanuele Zangrando, Piero Deidda, Simone Brugiapaglia, Nicola Guglielmi, Francesco Tudisco
Neural Rank Collapse: Weight Decay and Small Within-Class Variability Yield Low-Rank Bias. CoRR (2024)
Nicola Guglielmi, Anton Savostianov, Francesco Tudisco
Quantifying the structural stability of simplicial homology. CoRR (2023)
Dayana Savostianova, Emanuele Zangrando, Gianluca Ceruti, Francesco Tudisco
Robust low-rank training via approximate orthonormal constraints. NeurIPS (2023)
David N. Reynolds, Francesco Tudisco
A nonlinear model of opinion dynamics on networks with friction-inspired stubbornness. CoRR (2023)
Sara Venturini, Andrea Cristofari, Francesco Rinaldi, Francesco Tudisco
Laplacian-based Semi-Supervised Learning in Multilayer Hypergraphs by Coordinate Descent. CoRR (2023)
Emanuele Zangrando, Steffen Schotthöfer, Gianluca Ceruti, Jonas Kusch, Francesco Tudisco
Rank-adaptive spectral pruning of convolutional layers during training. CoRR (2023)
Francesco Tudisco, Desmond J. Higham
Core-Periphery Detection in Hypergraphs. SIAM J. Math. Data Sci. 5 (1) (2023)
Nicola Guglielmi, Anton Savostianov, Francesco Tudisco
Quantifying the Structural Stability of Simplicial Homology. J. Sci. Comput. 97 (1) (2023)
Dayana Savostianova, Emanuele Zangrando, Gianluca Ceruti, Francesco Tudisco
Robust low-rank training via approximate orthonormal constraints. CoRR (2023)
Antoine Gautier, Francesco Tudisco, Matthias Hein
Nonlinear Perron-Frobenius Theorems for Nonnegative Tensors. SIAM Rev. 65 (2) (2023)
Leonie Neuhäuser, Michael Scholkemper, Francesco Tudisco, Michael T. Schaub
Learning the effective order of a hypergraph dynamical system. CoRR (2023)
Stefano Massei, Francesco Tudisco
Optimizing network robustness via Krylov subspaces. CoRR (2023)
Sara Venturini, Andrea Cristofari, Francesco Rinaldi, Francesco Tudisco
Learning the Right Layers: a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer Graphs. CoRR (2023)
Sara Venturini, Andrea Cristofari, Francesco Rinaldi, Francesco Tudisco
Laplacian-based semi-Supervised learning in multilayer hypergraphs by coordinate descent. EURO J. Comput. Optim. 11 (2023)
Sara Venturini, Satyaki Sikdar, Francesco Rinaldi, Francesco Tudisco, Santo Fortunato
Collaboration and topic switches in science. CoRR (2023)
Kai Bergermann, Martin Stoll, Francesco Tudisco
A nonlinear spectral core-periphery detection method for multiplex networks. CoRR (2023)
Sara Venturini, Andrea Cristofari, Francesco Rinaldi, Francesco Tudisco
Learning the Right Layers a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer Graphs. ICML (2023)
Steffen Schotthöfer, Emanuele Zangrando, Jonas Kusch, Gianluca Ceruti, Francesco Tudisco
Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations. NeurIPS (2022)
Catherine F. Higham, Desmond J. Higham, Francesco Tudisco
Testing a QUBO Formulation of Core-periphery Partitioning on a Quantum Annealer. CoRR (2022)
Konstantin Prokopchik, Austin R. Benson, Francesco Tudisco
Nonlinear Feature Diffusion on Hypergraphs. ICML (2022)
Francesco Tudisco, Desmond J. Higham
Core-periphery detection in hypergraphs. CoRR (2022)
Catherine F. Higham, Desmond J. Higham, Francesco Tudisco
Core-periphery Partitioning and Quantum Annealing. KDD (2022)
Sara Venturini, Andrea Cristofari, Francesco Rinaldi, Francesco Tudisco
A variance-aware multiobjective Louvain-like method for community detection in multiplex networks. J. Complex Networks 10 (6) (2022)
Steffen Schotthöfer, Emanuele Zangrando, Jonas Kusch, Gianluca Ceruti, Francesco Tudisco
Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations. CoRR (2022)
Piero Deidda, Mario Putti, Francesco Tudisco
Nodal domain count for the generalized graph p-Laplacian. CoRR (2022)
Francesco Tudisco, Dong Zhang
Nonlinear Spectral Duality. CoRR (2022)
Dario Fasino, Arianna Tonetto, Francesco Tudisco
Generating large scale-free networks with the Chung-Lu random graph model. Networks 78 (2) (2021)
Sara Venturini, Andrea Cristofari, Francesco Rinaldi, Francesco Tudisco
Louvain-like Methods for Community Detection in Multi-Layer Networks. CoRR (2021)
Parikshit Upadhyaya, Elias Jarlebring, Francesco Tudisco
The self-consistent field iteration for p-spectral clustering. CoRR (2021)
Dario Fasino, Arianna Tonetto, Francesco Tudisco
Hitting times for non-backtracking random walks. CoRR (2021)
Francesco Tudisco, Austin R. Benson, Konstantin Prokopchik
Nonlinear Higher-Order Label Spreading. WWW (2021)
Francesco Tudisco, Konstantin Prokopchik, Austin R. Benson
A nonlinear diffusion method for semi-supervised learning on hypergraphs. CoRR (2021)
Francesco Tudisco, Desmond J. Higham
Node and Edge Eigenvector Centrality for Hypergraphs. CoRR (2021)
Antoine Gautier, Matthias Hein, Francesco Tudisco
The Global Convergence of the Nonlinear Power Method for Mixed-Subordinate Matrix Norms. J. Sci. Comput. 88 (1) (2021)
Andrea Cristofari, Francesco Rinaldi, Francesco Tudisco
Total Variation Based Community Detection Using a Nonlinear Optimization Approach. SIAM J. Appl. Math. 80 (3) (2020)
Francesco Tudisco, Austin R. Benson, Konstantin Prokopchik
Nonlinear Higher-Order Label Spreading. CoRR (2020)
Stefano Cipolla, Michela Redivo-Zaglia, Francesco Tudisco
Extrapolation methods for fixed-point multilinear PageRank computations. Numer. Linear Algebra Appl. 27 (2) (2020)
Stefano Cipolla, Fabio Durastante, Francesco Tudisco
Nonlocal PageRank. CoRR (2020)
Dario Fasino, Francesco Tudisco
Ergodicity Coefficients for Higher-Order Stochastic Processes. SIAM J. Math. Data Sci. 2 (3) (2020)
Antoine Gautier, Matthias Hein, Francesco Tudisco
Computing the norm of nonnegative matrices and the log-Sobolev constant of Markov chains. CoRR (2020)
Pedro Mercado, Francesco Tudisco, Matthias Hein
Spectral Clustering of Signed Graphs via Matrix Power Means. ICML (2019)
Francesco Tudisco, Desmond J. Higham
A Nonlinear Spectral Method for Core-Periphery Detection in Networks. SIAM J. Math. Data Sci. 1 (2) (2019)
Antoine Gautier, Francesco Tudisco, Matthias Hein
The Perron-Frobenius Theorem for Multihomogeneous Mappings. SIAM J. Matrix Anal. Appl. 40 (3) (2019)
Pedro Mercado, Francesco Tudisco, Matthias Hein
Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs. NeurIPS (2019)
Francesca Arrigo, Francesco Tudisco
Multi-Dimensional, Multilayer, Nonlinear and Dynamic HITS. SDM (2019)
Dario Fasino, Francesco Tudisco
Higher-order ergodicity coefficients. CoRR (2019)
Francesco Tudisco, Desmond J. Higham
A fast and robust kernel optimization method for core-periphery detection in directed and weighted graphs. Appl. Netw. Sci. 4 (1) (2019)
Pedro Mercado, Francesco Tudisco, Matthias Hein
Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs. CoRR (2019)
Pedro Mercado, Francesco Tudisco, Matthias Hein
Spectral Clustering of Signed Graphs via Matrix Power Means. CoRR (2019)
Stefano Cipolla, Michela Redivo-Zaglia, Francesco Tudisco
-eigenpairs. CoRR (2019)
Dario Fasino, Arianna Tonetto, Francesco Tudisco
Generating large scale-free networks with the Chung-Lu random graph model. CoRR (2019)
Francesca Arrigo, Desmond J. Higham, Francesco Tudisco
A framework for second order eigenvector centralities and clustering coefficients. CoRR (2019)
Andrea Cristofari, Francesco Rinaldi, Francesco Tudisco
Total variation based community detection using a nonlinear optimization approach. CoRR (2019)
Antoine Gautier, Francesco Tudisco, Matthias Hein
A Unifying Perron-Frobenius Theorem for Nonnegative Tensors via Multihomogeneous Maps. SIAM J. Matrix Anal. Appl. 40 (3) (2019)
Stefano Cipolla, Michela Redivo-Zaglia, Francesco Tudisco
Extrapolation Methods for fixed-point Multilinear PageRank computations. CoRR (2019)
Pedro Mercado, Antoine Gautier, Francesco Tudisco, Matthias Hein
The Power Mean Laplacian for Multilayer Graph Clustering. CoRR (2018)
Francesca Arrigo, Francesco Tudisco
Multi-Dimensional, Multilayer, Nonlinear and Dynamic HITS. CoRR (2018)
Francesco Tudisco, Pedro Mercado, Matthias Hein
Community Detection in Networks via Nonlinear Modularity Eigenvectors. SIAM J. Appl. Math. 78 (5) (2018)
Antoine Gautier, Francesco Tudisco, Matthias Hein
A unifying Perron-Frobenius theorem for nonnegative tensors via multi-homogeneous maps. CoRR (2018)
Francesco Tudisco, Desmond J. Higham
A Nonlinear Spectral Method for Core-Periphery Detection in Networks. CoRR (2018)
Francesco Tudisco, Francesca Arrigo, Antoine Gautier
Node and Layer Eigenvector Centralities for Multiplex Networks. SIAM J. Appl. Math. 78 (2) (2018)
Pedro Mercado, Antoine Gautier, Francesco Tudisco, Matthias Hein
The Power Mean Laplacian for Multilayer Graph Clustering. AISTATS (2018)
Stefano Pozza, Francesco Tudisco
On the Stability of Network Indices Defined by Means of Matrix Functions. SIAM J. Matrix Anal. Appl. 39 (4) (2018)
Dario Fasino, Francesco Tudisco
A modularity based spectral method for simultaneous community and anti-community detection. CoRR (2017)
Francesco Tudisco, Francesca Arrigo, Antoine Gautier
Node and layer eigenvector centralities for multiplex networks. CoRR (2017)
Stefano Pozza, Francesco Tudisco
On the stability of network indices defined by means of matrix functions. CoRR (2017)
Quynh N. Nguyen, Francesco Tudisco, Antoine Gautier, Matthias Hein
An Efficient Multilinear Optimization Framework for Hypergraph Matching. IEEE Trans. Pattern Anal. Mach. Intell. 39 (6) (2017)
Pedro Mercado, Francesco Tudisco, Matthias Hein
Clustering Signed Networks with the Geometric Mean of Laplacians. CoRR (2017)
Francesco Tudisco, Pedro Mercado, Matthias Hein
Community detection in networks via nonlinear modularity eigenvectors. CoRR (2017)
Dario Fasino, Francesco Tudisco
Localization of dominant eigenpairs and planted communities by means of Frobenius inner products. CoRR (2016)
Dario Fasino, Francesco Tudisco
Modularity bounds for clusters located by leading eigenvectors of the normalized modularity matrix. CoRR (2016)
Pedro Mercado, Francesco Tudisco, Matthias Hein
Clustering Signed Networks with the Geometric Mean of Laplacians. NIPS (2016)
Francesco Tudisco, Matthias Hein
Nodal domain theorem for the graph p-Laplacian. CoRR (2016)
Quynh N. Nguyen, Francesco Tudisco, Antoine Gautier, Matthias Hein
An Efficient Multilinear Optimization Framework for Hypergraph Matching. CoRR (2015)
Dario Fasino, Francesco Tudisco
Generalized modularity matrices. CoRR (2015)
Dario Fasino, Francesco Tudisco
An Algebraic Analysis of the Graph Modularity. SIAM J. Matrix Anal. Appl. 35 (3) (2014)
Dario Fasino, Francesco Tudisco
An algebraic analysis of the graph modularity. CoRR (2013)