Francesco Tudisco

108 papers A* 13A 2Journal 92Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Ambient Physics: Training Neural PDE Solvers with Partial Observations. CoRR Harris Abdul Majid, Giannis Daras, Francesco Tudisco, Steven McDonagh
2026	J	`jnl`	Graph-Convolutional-Beta-VAE for synthetic abdominal aortic aneurysm generation. Medical Biol. Eng. Comput. Francesco Fabbri, Martino Andrea Scarpolini, Angelo Iollo, Francesco Viola, Francesco Tudisco
2026	J	`jnl`	Neural-HSS: Hierarchical Semi-Separable Neural PDE Solver. CoRR Pietro Sittoni, Emanuele Zangrando, Angelo A. Casulli, Nicola Guglielmi, Francesco Tudisco
2026	A*	`conf`	Stuart-Landau Oscillatory Graph Neural Network. WWW Kaicheng Zhang, David N. Reynolds, Piero Deidda, Francesco Tudisco
2026	J	`jnl`	Testing quantum and simulated annealers on the drone delivery packing problem. Quantum Mach. Intell. Sara Tarquini, Daniele Dragoni, Matteo Vandelli, Francesco Tudisco
2026	J	`jnl`	The Graph \(\boldsymbol{\infty }\)-Laplacian Eigenvalue Problem. SIAM J. Math. Anal. Piero Deidda, Martin Burger, Mario Putti, Francesco Tudisco
2025	J	`jnl`	Algebraformer: A Neural Approach to Linear Systems. CoRR Pietro Sittoni, Francesco Tudisco
2025	J	`jnl`	An Efficient Network-aware Direct Search Method for Influence Maximization. CoRR Matteo Bergamaschi, Sara Venturini, Francesco Tudisco, Francesco Rinaldi
2025	J	`jnl`	An efficient network-aware direct search method for influence maximization. J. Complex Networks Matteo Bergamaschi, Sara Venturini, Francesco Tudisco, Francesco Rinaldi
2025	J	`jnl`	Approximation properties of neural ODEs. CoRR Arturo De Marinis, Davide Murari, Elena Celledoni, Nicola Guglielmi, Brynjulf Owren, Francesco Tudisco
2025	J	`jnl`	Contractivity of neural ODEs: An eigenvalue optimization problem. Math. Comput. Nicola Guglielmi, Arturo De Marinis, Anton Savostianov, Francesco Tudisco
2025	J	`jnl`	Efficient Sparsification of Simplicial Complexes via Local Densities of States. CoRR Anton Savostianov, Michael T. Schaub, Nicola Guglielmi, Francesco Tudisco
2025	A*	`conf`	GeoLoRA: Geometric integration for parameter efficient fine-tuning. ICLR Steffen Schotthöfer, Emanuele Zangrando, Gianluca Ceruti, Francesco Tudisco, Jonas Kusch
2025	J	`jnl`	Graph-Convolutional-Beta-VAE for Synthetic Abdominal Aorta Aneurysm Generation. CoRR Francesco Fabbri, Martino Andrea Scarpolini, Angelo Iollo, Francesco Viola, Francesco Tudisco
2025	J	`jnl`	Low-Rank Compression of Language Models via Differentiable Rank Selection. CoRR Sidhant Sundrani, Francesco Tudisco, Pasquale Minervini
2025	J	`jnl`	Rethinking Oversmoothing in Graph Neural Networks: A Rank-Based Perspective. CoRR Kaicheng Zhang, Piero Deidda, Desmond J. Higham, Francesco Tudisco
2025	J	`jnl`	Stability of neural ODEs by a control over the expansivity of their flows. CoRR Arturo De Marinis, Nicola Guglielmi, Stefano Sicilia, Francesco Tudisco
2025	J	`jnl`	Stuart-Landau Oscillatory Graph Neural Network. CoRR Kaicheng Zhang, David N. Reynolds, Piero Deidda, Francesco Tudisco
2025	J	`jnl`	The Effects of Remote Working on Scientific Collaboration and Impact. CoRR Sara Venturini, Satyaki Sikdar, Martina Mazzarello, Francesco Rinaldi, Francesco Tudisco, Paolo Santi, Santo Fortunato, Carlo Ratti
2025	A*	`conf`	dEBORA: Efficient Bilevel Optimization-based low-Rank Adaptation. ICLR Emanuele Zangrando, Sara Venturini, Francesco Rinaldi, Francesco Tudisco
2024	J	`jnl`	Cholesky-like Preconditioner for Hodge Laplacians via Heavy Collapsible Subcomplex. CoRR Anton Savostianov, Francesco Tudisco, Nicola Guglielmi
2024	J	`jnl`	Cholesky-like Preconditioner for Hodge Laplacians via Heavy Collapsible Subcomplex. SIAM J. Matrix Anal. Appl. Anton Savostianov, Francesco Tudisco, Nicola Guglielmi
2024	J	`jnl`	Contractivity of neural ODEs: an eigenvalue optimization problem. CoRR Nicola Guglielmi, Arturo De Marinis, Anton Savostianov, Francesco Tudisco
2024	J	`jnl`	Core-periphery detection in multilayer networks. CoRR Kai Bergermann, Francesco Tudisco
2024	J	`jnl`	GeoLoRA: Geometric integration for parameter efficient fine-tuning. CoRR Steffen Schotthöfer, Emanuele Zangrando, Gianluca Ceruti, Francesco Tudisco, Jonas Kusch
2024	A*	`conf`	Geometry-aware training of factorized layers in tensor Tucker format. NeurIPS Emanuele Zangrando, Steffen Schotthöfer, Gianluca Ceruti, Jonas Kusch, Francesco Tudisco
2024	J	`jnl`	Low-Rank Adversarial PGD Attack. CoRR Dayana Savostianova, Emanuele Zangrando, Francesco Tudisco
2024	J	`jnl`	Neural Rank Collapse: Weight Decay and Small Within-Class Variability Yield Low-Rank Bias. CoRR Emanuele Zangrando, Piero Deidda, Simone Brugiapaglia, Nicola Guglielmi, Francesco Tudisco
2024	J	`jnl`	Solaris: A Foundation Model of the Sun. CoRR Harris Abdul Majid, Pietro Sittoni, Francesco Tudisco
2024	A*	`conf`	Subhomogeneous Deep Equilibrium Models. ICML Pietro Sittoni, Francesco Tudisco
2024	J	`jnl`	Subhomogeneous Deep Equilibrium Models. CoRR Pietro Sittoni, Francesco Tudisco
2024	J	`jnl`	What we should learn from pandemic publishing. CoRR Satyaki Sikdar, Sara Venturini, Marie-Laure Charpignon, Sagar Kumar, Francesco Rinaldi, Francesco Tudisco, Santo Fortunato, Maimuna S. Majumder
2023	J	`jnl`	A nonlinear model of opinion dynamics on networks with friction-inspired stubbornness. CoRR David N. Reynolds, Francesco Tudisco
2023	J	`jnl`	A nonlinear spectral core-periphery detection method for multiplex networks. CoRR Kai Bergermann, Martin Stoll, Francesco Tudisco
2023	J	`jnl`	Collaboration and topic switches in science. CoRR Sara Venturini, Satyaki Sikdar, Francesco Rinaldi, Francesco Tudisco, Santo Fortunato
2023	J	`jnl`	Core-Periphery Detection in Hypergraphs. SIAM J. Math. Data Sci. Francesco Tudisco, Desmond J. Higham
2023	J	`jnl`	Laplacian-based Semi-Supervised Learning in Multilayer Hypergraphs by Coordinate Descent. CoRR Sara Venturini, Andrea Cristofari, Francesco Rinaldi, Francesco Tudisco
2023	J	`jnl`	Laplacian-based semi-Supervised learning in multilayer hypergraphs by coordinate descent. EURO J. Comput. Optim. Sara Venturini, Andrea Cristofari, Francesco Rinaldi, Francesco Tudisco
2023	A*	`conf`	Learning the Right Layers a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer Graphs. ICML Sara Venturini, Andrea Cristofari, Francesco Rinaldi, Francesco Tudisco
2023	J	`jnl`	Learning the Right Layers: a Data-Driven Layer-Aggregation Strategy for Semi-Supervised Learning on Multilayer Graphs. CoRR Sara Venturini, Andrea Cristofari, Francesco Rinaldi, Francesco Tudisco
2023	J	`jnl`	Learning the effective order of a hypergraph dynamical system. CoRR Leonie Neuhäuser, Michael Scholkemper, Francesco Tudisco, Michael T. Schaub
2023	J	`jnl`	Nonlinear Perron-Frobenius Theorems for Nonnegative Tensors. SIAM Rev. Antoine Gautier, Francesco Tudisco, Matthias Hein
2023	J	`jnl`	Optimizing network robustness via Krylov subspaces. CoRR Stefano Massei, Francesco Tudisco
2023	J	`jnl`	Quantifying the Structural Stability of Simplicial Homology. J. Sci. Comput. Nicola Guglielmi, Anton Savostianov, Francesco Tudisco
2023	J	`jnl`	Quantifying the structural stability of simplicial homology. CoRR Nicola Guglielmi, Anton Savostianov, Francesco Tudisco
2023	J	`jnl`	Rank-adaptive spectral pruning of convolutional layers during training. CoRR Emanuele Zangrando, Steffen Schotthöfer, Gianluca Ceruti, Jonas Kusch, Francesco Tudisco
2023	A*	`conf`	Robust low-rank training via approximate orthonormal constraints. NeurIPS Dayana Savostianova, Emanuele Zangrando, Gianluca Ceruti, Francesco Tudisco
2023	J	`jnl`	Robust low-rank training via approximate orthonormal constraints. CoRR Dayana Savostianova, Emanuele Zangrando, Gianluca Ceruti, Francesco Tudisco
2022	J	`jnl`	A variance-aware multiobjective Louvain-like method for community detection in multiplex networks. J. Complex Networks Sara Venturini, Andrea Cristofari, Francesco Rinaldi, Francesco Tudisco
2022	A*	`conf`	Core-periphery Partitioning and Quantum Annealing. KDD Catherine F. Higham, Desmond J. Higham, Francesco Tudisco
2022	J	`jnl`	Core-periphery detection in hypergraphs. CoRR Francesco Tudisco, Desmond J. Higham
2022	A*	`conf`	Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations. NeurIPS Steffen Schotthöfer, Emanuele Zangrando, Jonas Kusch, Gianluca Ceruti, Francesco Tudisco
2022	J	`jnl`	Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations. CoRR Steffen Schotthöfer, Emanuele Zangrando, Jonas Kusch, Gianluca Ceruti, Francesco Tudisco
2022	J	`jnl`	Nodal domain count for the generalized graph p-Laplacian. CoRR Piero Deidda, Mario Putti, Francesco Tudisco
2022	A*	`conf`	Nonlinear Feature Diffusion on Hypergraphs. ICML Konstantin Prokopchik, Austin R. Benson, Francesco Tudisco
2022	J	`jnl`	Nonlinear Spectral Duality. CoRR Francesco Tudisco, Dong Zhang
2022	J	`jnl`	Testing a QUBO Formulation of Core-periphery Partitioning on a Quantum Annealer. CoRR Catherine F. Higham, Desmond J. Higham, Francesco Tudisco
2021	J	`jnl`	A nonlinear diffusion method for semi-supervised learning on hypergraphs. CoRR Francesco Tudisco, Konstantin Prokopchik, Austin R. Benson
2021	J	`jnl`	Generating large scale-free networks with the Chung-Lu random graph model. Networks Dario Fasino, Arianna Tonetto, Francesco Tudisco
2021	J	`jnl`	Hitting times for non-backtracking random walks. CoRR Dario Fasino, Arianna Tonetto, Francesco Tudisco
2021	J	`jnl`	Louvain-like Methods for Community Detection in Multi-Layer Networks. CoRR Sara Venturini, Andrea Cristofari, Francesco Rinaldi, Francesco Tudisco
2021	J	`jnl`	Node and Edge Eigenvector Centrality for Hypergraphs. CoRR Francesco Tudisco, Desmond J. Higham
2021	A*	`conf`	Nonlinear Higher-Order Label Spreading. WWW Francesco Tudisco, Austin R. Benson, Konstantin Prokopchik
2021	J	`jnl`	The Global Convergence of the Nonlinear Power Method for Mixed-Subordinate Matrix Norms. J. Sci. Comput. Antoine Gautier, Matthias Hein, Francesco Tudisco
2021	J	`jnl`	The self-consistent field iteration for p-spectral clustering. CoRR Parikshit Upadhyaya, Elias Jarlebring, Francesco Tudisco
2020	J	`jnl`	Computing the norm of nonnegative matrices and the log-Sobolev constant of Markov chains. CoRR Antoine Gautier, Matthias Hein, Francesco Tudisco
2020	J	`jnl`	Ergodicity Coefficients for Higher-Order Stochastic Processes. SIAM J. Math. Data Sci. Dario Fasino, Francesco Tudisco
2020	J	`jnl`	Extrapolation methods for fixed-point multilinear PageRank computations. Numer. Linear Algebra Appl. Stefano Cipolla, Michela Redivo-Zaglia, Francesco Tudisco
2020	J	`jnl`	Nonlinear Higher-Order Label Spreading. CoRR Francesco Tudisco, Austin R. Benson, Konstantin Prokopchik
2020	J	`jnl`	Nonlocal PageRank. CoRR Stefano Cipolla, Fabio Durastante, Francesco Tudisco
2020	J	`jnl`	Total Variation Based Community Detection Using a Nonlinear Optimization Approach. SIAM J. Appl. Math. Andrea Cristofari, Francesco Rinaldi, Francesco Tudisco
2019	J	`jnl`	A Nonlinear Spectral Method for Core-Periphery Detection in Networks. SIAM J. Math. Data Sci. Francesco Tudisco, Desmond J. Higham
2019	J	`jnl`	A Unifying Perron-Frobenius Theorem for Nonnegative Tensors via Multihomogeneous Maps. SIAM J. Matrix Anal. Appl. Antoine Gautier, Francesco Tudisco, Matthias Hein
2019	J	`jnl`	A fast and robust kernel optimization method for core-periphery detection in directed and weighted graphs. Appl. Netw. Sci. Francesco Tudisco, Desmond J. Higham
2019	J	`jnl`	A framework for second order eigenvector centralities and clustering coefficients. CoRR Francesca Arrigo, Desmond J. Higham, Francesco Tudisco
2019	J	`jnl`	Extrapolation Methods for fixed-point Multilinear PageRank computations. CoRR Stefano Cipolla, Michela Redivo-Zaglia, Francesco Tudisco
2019	A*	`conf`	Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs. NeurIPS Pedro Mercado, Francesco Tudisco, Matthias Hein
2019	J	`jnl`	Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs. CoRR Pedro Mercado, Francesco Tudisco, Matthias Hein
2019	J	`jnl`	Generating large scale-free networks with the Chung-Lu random graph model. CoRR Dario Fasino, Arianna Tonetto, Francesco Tudisco
2019	J	`jnl`	Higher-order ergodicity coefficients. CoRR Dario Fasino, Francesco Tudisco
2019	A	`conf`	Multi-Dimensional, Multilayer, Nonlinear and Dynamic HITS. SDM Francesca Arrigo, Francesco Tudisco
2019	J	`jnl`	Shifted and extrapolated power methods for tensor 𝓁 CoRR Stefano Cipolla, Michela Redivo-Zaglia, Francesco Tudisco
2019	A*	`conf`	Spectral Clustering of Signed Graphs via Matrix Power Means. ICML Pedro Mercado, Francesco Tudisco, Matthias Hein
2019	J	`jnl`	Spectral Clustering of Signed Graphs via Matrix Power Means. CoRR Pedro Mercado, Francesco Tudisco, Matthias Hein
2019	J	`jnl`	The Perron-Frobenius Theorem for Multihomogeneous Mappings. SIAM J. Matrix Anal. Appl. Antoine Gautier, Francesco Tudisco, Matthias Hein
2019	J	`jnl`	Total variation based community detection using a nonlinear optimization approach. CoRR Andrea Cristofari, Francesco Rinaldi, Francesco Tudisco
2018	J	`jnl`	A Nonlinear Spectral Method for Core-Periphery Detection in Networks. CoRR Francesco Tudisco, Desmond J. Higham
2018	J	`jnl`	A unifying Perron-Frobenius theorem for nonnegative tensors via multi-homogeneous maps. CoRR Antoine Gautier, Francesco Tudisco, Matthias Hein
2018	J	`jnl`	Community Detection in Networks via Nonlinear Modularity Eigenvectors. SIAM J. Appl. Math. Francesco Tudisco, Pedro Mercado, Matthias Hein
2018	J	`jnl`	Multi-Dimensional, Multilayer, Nonlinear and Dynamic HITS. CoRR Francesca Arrigo, Francesco Tudisco
2018	J	`jnl`	Node and Layer Eigenvector Centralities for Multiplex Networks. SIAM J. Appl. Math. Francesco Tudisco, Francesca Arrigo, Antoine Gautier
2018	J	`jnl`	On the Stability of Network Indices Defined by Means of Matrix Functions. SIAM J. Matrix Anal. Appl. Stefano Pozza, Francesco Tudisco
2018	A	`conf`	The Power Mean Laplacian for Multilayer Graph Clustering. AISTATS Pedro Mercado, Antoine Gautier, Francesco Tudisco, Matthias Hein
2018	J	`jnl`	The Power Mean Laplacian for Multilayer Graph Clustering. CoRR Pedro Mercado, Antoine Gautier, Francesco Tudisco, Matthias Hein
2017	J	`jnl`	A modularity based spectral method for simultaneous community and anti-community detection. CoRR Dario Fasino, Francesco Tudisco
2017	J	`jnl`	An Efficient Multilinear Optimization Framework for Hypergraph Matching. IEEE Trans. Pattern Anal. Mach. Intell. Quynh Nguyen, Francesco Tudisco, Antoine Gautier, Matthias Hein
2017	J	`jnl`	Clustering Signed Networks with the Geometric Mean of Laplacians. CoRR Pedro Mercado, Francesco Tudisco, Matthias Hein
2017	J	`jnl`	Community detection in networks via nonlinear modularity eigenvectors. CoRR Francesco Tudisco, Pedro Mercado, Matthias Hein
2017	J	`jnl`	Node and layer eigenvector centralities for multiplex networks. CoRR Francesco Tudisco, Francesca Arrigo, Antoine Gautier
2017	J	`jnl`	On the stability of network indices defined by means of matrix functions. CoRR Stefano Pozza, Francesco Tudisco
2016	—	`conf`	Clustering Signed Networks with the Geometric Mean of Laplacians. NIPS Pedro Mercado, Francesco Tudisco, Matthias Hein
2016	J	`jnl`	Localization of dominant eigenpairs and planted communities by means of Frobenius inner products. CoRR Dario Fasino, Francesco Tudisco
2016	J	`jnl`	Modularity bounds for clusters located by leading eigenvectors of the normalized modularity matrix. CoRR Dario Fasino, Francesco Tudisco
2016	J	`jnl`	Nodal domain theorem for the graph p-Laplacian. CoRR Francesco Tudisco, Matthias Hein
2015	J	`jnl`	An Efficient Multilinear Optimization Framework for Hypergraph Matching. CoRR Quynh Nguyen, Francesco Tudisco, Antoine Gautier, Matthias Hein
2015	J	`jnl`	Generalized modularity matrices. CoRR Dario Fasino, Francesco Tudisco
2014	J	`jnl`	An Algebraic Analysis of the Graph Modularity. SIAM J. Matrix Anal. Appl. Dario Fasino, Francesco Tudisco
2013	J	`jnl`	An algebraic analysis of the graph modularity. CoRR Dario Fasino, Francesco Tudisco