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Francesco Tudisco
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2020 – today
- 2024
- [c12]Pietro Sittoni, Francesco Tudisco:
Subhomogeneous Deep Equilibrium Models. ICML 2024 - [i50]Anton Savostianov, Francesco Tudisco, Nicola Guglielmi:
Cholesky-like Preconditioner for Hodge Laplacians via Heavy Collapsible Subcomplex. CoRR abs/2401.15492 (2024) - [i49]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 abs/2402.03991 (2024) - [i48]Nicola Guglielmi, Arturo De Marinis, Anton Savostianov, Francesco Tudisco:
Contractivity of neural ODEs: an eigenvalue optimization problem. CoRR abs/2402.13092 (2024) - [i47]Pietro Sittoni, Francesco Tudisco:
Subhomogeneous Deep Equilibrium Models. CoRR abs/2403.00720 (2024) - 2023
- [j19]Sara Venturini
, Andrea Cristofari
, Francesco Rinaldi, Francesco Tudisco:
Laplacian-based semi-Supervised learning in multilayer hypergraphs by coordinate descent. EURO J. Comput. Optim. 11: 100079 (2023) - [j18]Nicola Guglielmi, Anton Savostianov
, Francesco Tudisco:
Quantifying the Structural Stability of Simplicial Homology. J. Sci. Comput. 97(1): 2 (2023) - [j17]Antoine Gautier, Francesco Tudisco
, Matthias Hein:
Nonlinear Perron-Frobenius Theorems for Nonnegative Tensors. SIAM Rev. 65(2): 495-536 (2023) - [j16]Francesco Tudisco
, Desmond J. Higham:
Core-Periphery Detection in Hypergraphs. SIAM J. Math. Data Sci. 5(1): 1-21 (2023) - [c11]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: 35006-35023 - [c10]Dayana Savostianova, Emanuele Zangrando, Gianluca Ceruti, Francesco Tudisco:
Robust low-rank training via approximate orthonormal constraints. NeurIPS 2023 - [i46]Nicola Guglielmi, Anton Savostianov, Francesco Tudisco:
Quantifying the structural stability of simplicial homology. CoRR abs/2301.03627 (2023) - [i45]Sara Venturini, Andrea Cristofari, Francesco Rinaldi, Francesco Tudisco:
Laplacian-based Semi-Supervised Learning in Multilayer Hypergraphs by Coordinate Descent. CoRR abs/2301.12184 (2023) - [i44]Stefano Massei, Francesco Tudisco:
Optimizing network robustness via Krylov subspaces. CoRR abs/2303.04971 (2023) - [i43]Sara Venturini, Satyaki Sikdar, Francesco Rinaldi, Francesco Tudisco, Santo Fortunato:
Collaboration and topic switches in science. CoRR abs/2304.06826 (2023) - [i42]David N. Reynolds
, Francesco Tudisco:
A nonlinear model of opinion dynamics on networks with friction-inspired stubbornness. CoRR abs/2304.07556 (2023) - [i41]Emanuele Zangrando, Steffen Schotthöfer, Gianluca Ceruti, Jonas Kusch, Francesco Tudisco:
Rank-adaptive spectral pruning of convolutional layers during training. CoRR abs/2305.19059 (2023) - [i40]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 abs/2306.00152 (2023) - [i39]Dayana Savostianova, Emanuele Zangrando, Gianluca Ceruti, Francesco Tudisco:
Robust low-rank training via approximate orthonormal constraints. CoRR abs/2306.01485 (2023) - [i38]Leonie Neuhäuser, Michael Scholkemper, Francesco Tudisco, Michael T. Schaub:
Learning the effective order of a hypergraph dynamical system. CoRR abs/2306.01813 (2023) - [i37]Kai Bergermann
, Martin Stoll, Francesco Tudisco:
A nonlinear spectral core-periphery detection method for multiplex networks. CoRR abs/2310.19697 (2023) - 2022
- [j15]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) - [c9]Konstantin Prokopchik, Austin R. Benson, Francesco Tudisco:
Nonlinear Feature Diffusion on Hypergraphs. ICML 2022: 17945-17958 - [c8]Catherine F. Higham, Desmond J. Higham, Francesco Tudisco:
Core-periphery Partitioning and Quantum Annealing. KDD 2022: 565-573 - [c7]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 - [i36]Piero Deidda, Mario Putti, Francesco Tudisco:
Nodal domain count for the generalized graph p-Laplacian. CoRR abs/2201.01248 (2022) - [i35]Catherine F. Higham, Desmond J. Higham, Francesco Tudisco:
Testing a QUBO Formulation of Core-periphery Partitioning on a Quantum Annealer. CoRR abs/2201.01543 (2022) - [i34]Francesco Tudisco, Desmond J. Higham:
Core-periphery detection in hypergraphs. CoRR abs/2202.12769 (2022) - [i33]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 abs/2205.13571 (2022) - [i32]Francesco Tudisco, Dong Zhang:
Nonlinear Spectral Duality. CoRR abs/2209.06241 (2022) - 2021
- [j14]Antoine Gautier, Matthias Hein, Francesco Tudisco
:
The Global Convergence of the Nonlinear Power Method for Mixed-Subordinate Matrix Norms. J. Sci. Comput. 88(1): 21 (2021) - [j13]Dario Fasino
, Arianna Tonetto, Francesco Tudisco:
Generating large scale-free networks with the Chung-Lu random graph model. Networks 78(2): 174-187 (2021) - [c6]Francesco Tudisco, Austin R. Benson, Konstantin Prokopchik:
Nonlinear Higher-Order Label Spreading. WWW 2021: 2402-2413 - [i31]Francesco Tudisco, Desmond J. Higham:
Node and Edge Eigenvector Centrality for Hypergraphs. CoRR abs/2101.06215 (2021) - [i30]Francesco Tudisco, Konstantin Prokopchik, Austin R. Benson:
A nonlinear diffusion method for semi-supervised learning on hypergraphs. CoRR abs/2103.14867 (2021) - [i29]Dario Fasino, Arianna Tonetto, Francesco Tudisco:
Hitting times for non-backtracking random walks. CoRR abs/2105.14438 (2021) - [i28]Sara Venturini, Andrea Cristofari, Francesco Rinaldi, Francesco Tudisco:
Louvain-like Methods for Community Detection in Multi-Layer Networks. CoRR abs/2106.13543 (2021) - [i27]Parikshit Upadhyaya, Elias Jarlebring, Francesco Tudisco:
The self-consistent field iteration for p-spectral clustering. CoRR abs/2111.09750 (2021) - 2020
- [j12]Stefano Cipolla
, Michela Redivo-Zaglia
, Francesco Tudisco
:
Extrapolation methods for fixed-point multilinear PageRank computations. Numer. Linear Algebra Appl. 27(2) (2020) - [j11]Andrea Cristofari
, Francesco Rinaldi, Francesco Tudisco
:
Total Variation Based Community Detection Using a Nonlinear Optimization Approach. SIAM J. Appl. Math. 80(3): 1392-1419 (2020) - [j10]Dario Fasino
, Francesco Tudisco
:
Ergodicity Coefficients for Higher-Order Stochastic Processes. SIAM J. Math. Data Sci. 2(3): 740-769 (2020) - [i26]Stefano Cipolla, Fabio Durastante, Francesco Tudisco:
Nonlocal PageRank. CoRR abs/2001.10421 (2020) - [i25]Antoine Gautier, Matthias Hein, Francesco Tudisco:
Computing the norm of nonnegative matrices and the log-Sobolev constant of Markov chains. CoRR abs/2002.02447 (2020) - [i24]Francesco Tudisco, Austin R. Benson, Konstantin Prokopchik:
Nonlinear Higher-Order Label Spreading. CoRR abs/2006.04762 (2020)
2010 – 2019
- 2019
- [j9]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): 75 (2019) - [j8]Antoine Gautier, Francesco Tudisco
, Matthias Hein:
The Perron-Frobenius Theorem for Multihomogeneous Mappings. SIAM J. Matrix Anal. Appl. 40(3): 1179-1205 (2019) - [j7]Antoine Gautier, Francesco Tudisco
, Matthias Hein:
A Unifying Perron-Frobenius Theorem for Nonnegative Tensors via Multihomogeneous Maps. SIAM J. Matrix Anal. Appl. 40(3): 1206-1231 (2019) - [j6]Francesco Tudisco
, Desmond J. Higham:
A Nonlinear Spectral Method for Core-Periphery Detection in Networks. SIAM J. Math. Data Sci. 1(2): 269-292 (2019) - [c5]Pedro Mercado, Francesco Tudisco, Matthias Hein:
Spectral Clustering of Signed Graphs via Matrix Power Means. ICML 2019: 4526-4536 - [c4]Pedro Mercado, Francesco Tudisco, Matthias Hein:
Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs. NeurIPS 2019: 14848-14857 - [c3]Francesca Arrigo
, Francesco Tudisco:
Multi-Dimensional, Multilayer, Nonlinear and Dynamic HITS. SDM 2019: 369-377 - [i23]Pedro Mercado, Francesco Tudisco, Matthias Hein:
Spectral Clustering of Signed Graphs via Matrix Power Means. CoRR abs/1905.06230 (2019) - [i22]Stefano Cipolla, Michela Redivo-Zaglia, Francesco Tudisco:
Extrapolation Methods for fixed-point Multilinear PageRank computations. CoRR abs/1906.01494 (2019) - [i21]Dario Fasino, Francesco Tudisco:
Higher-order ergodicity coefficients. CoRR abs/1907.04841 (2019) - [i20]Andrea Cristofari, Francesco Rinaldi, Francesco Tudisco:
Total variation based community detection using a nonlinear optimization approach. CoRR abs/1907.08048 (2019) - [i19]Stefano Cipolla, Michela Redivo-Zaglia, Francesco Tudisco:
Shifted and extrapolated power methods for tensor 𝓁p-eigenpairs. CoRR abs/1909.11964 (2019) - [i18]Dario Fasino, Arianna Tonetto, Francesco Tudisco:
Generating large scale-free networks with the Chung-Lu random graph model. CoRR abs/1910.11341 (2019) - [i17]Francesca Arrigo, Desmond J. Higham, Francesco Tudisco:
A framework for second order eigenvector centralities and clustering coefficients. CoRR abs/1910.12711 (2019) - [i16]Pedro Mercado, Francesco Tudisco, Matthias Hein:
Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs. CoRR abs/1910.13951 (2019) - 2018
- [j5]Francesco Tudisco
, Francesca Arrigo
, Antoine Gautier:
Node and Layer Eigenvector Centralities for Multiplex Networks. SIAM J. Appl. Math. 78(2): 853-876 (2018) - [j4]Francesco Tudisco
, Pedro Mercado, Matthias Hein:
Community Detection in Networks via Nonlinear Modularity Eigenvectors. SIAM J. Appl. Math. 78(5): 2393-2419 (2018) - [j3]Stefano Pozza
, Francesco Tudisco
:
On the Stability of Network Indices Defined by Means of Matrix Functions. SIAM J. Matrix Anal. Appl. 39(4): 1521-1546 (2018) - [c2]Pedro Mercado, Antoine Gautier, Francesco Tudisco, Matthias Hein:
The Power Mean Laplacian for Multilayer Graph Clustering. AISTATS 2018: 1828-1838 - [i15]Antoine Gautier, Francesco Tudisco, Matthias Hein:
A unifying Perron-Frobenius theorem for nonnegative tensors via multi-homogeneous maps. CoRR abs/1801.04215 (2018) - [i14]Pedro Mercado, Antoine Gautier, Francesco Tudisco, Matthias Hein:
The Power Mean Laplacian for Multilayer Graph Clustering. CoRR abs/1803.00491 (2018) - [i13]Francesco Tudisco, Desmond J. Higham:
A Nonlinear Spectral Method for Core-Periphery Detection in Networks. CoRR abs/1804.09820 (2018) - [i12]Francesca Arrigo, Francesco Tudisco:
Multi-Dimensional, Multilayer, Nonlinear and Dynamic HITS. CoRR abs/1809.08004 (2018) - 2017
- [j2]Quynh Nguyen, Francesco Tudisco
, Antoine Gautier, Matthias Hein:
An Efficient Multilinear Optimization Framework for Hypergraph Matching. IEEE Trans. Pattern Anal. Mach. Intell. 39(6): 1054-1075 (2017) - [i11]Pedro Mercado, Francesco Tudisco, Matthias Hein:
Clustering Signed Networks with the Geometric Mean of Laplacians. CoRR abs/1701.00757 (2017) - [i10]Francesco Tudisco, Pedro Mercado, Matthias Hein:
Community detection in networks via nonlinear modularity eigenvectors. CoRR abs/1708.05569 (2017) - [i9]Stefano Pozza, Francesco Tudisco:
On the stability of network indices defined by means of matrix functions. CoRR abs/1709.05132 (2017) - [i8]Dario Fasino, Francesco Tudisco:
A modularity based spectral method for simultaneous community and anti-community detection. CoRR abs/1709.06887 (2017) - [i7]Francesco Tudisco, Francesca Arrigo, Antoine Gautier:
Node and layer eigenvector centralities for multiplex networks. CoRR abs/1711.08448 (2017) - 2016
- [c1]Pedro Mercado, Francesco Tudisco, Matthias Hein:
Clustering Signed Networks with the Geometric Mean of Laplacians. NIPS 2016: 4421-4429 - [i6]Dario Fasino, Francesco Tudisco:
Modularity bounds for clusters located by leading eigenvectors of the normalized modularity matrix. CoRR abs/1602.05457 (2016) - [i5]Dario Fasino, Francesco Tudisco:
Localization of dominant eigenpairs and planted communities by means of Frobenius inner products. CoRR abs/1602.05459 (2016) - [i4]Francesco Tudisco, Matthias Hein:
Nodal domain theorem for the graph p-Laplacian. CoRR abs/1602.05567 (2016) - 2015
- [i3]Dario Fasino, Francesco Tudisco:
Generalized modularity matrices. CoRR abs/1502.01139 (2015) - [i2]Quynh Nguyen, Francesco Tudisco, Antoine Gautier, Matthias Hein:
An Efficient Multilinear Optimization Framework for Hypergraph Matching. CoRR abs/1511.02667 (2015) - 2014
- [j1]Dario Fasino
, Francesco Tudisco
:
An Algebraic Analysis of the Graph Modularity. SIAM J. Matrix Anal. Appl. 35(3): 997-1018 (2014) - 2013
- [i1]Dario Fasino, Francesco Tudisco:
An algebraic analysis of the graph modularity. CoRR abs/1310.3031 (2013)
Coauthor Index
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