Francesco Tudisco

1. A nodal domain theorem and a higher-order Cheeger inequality for the\n graph p-Laplacian
   2016/02/17 by Francesco Tudisco, Tudisco, Francesco, Matthias Hein +1 · 3 citations
   Computer Science · Mathematics · #Advanced Mathematical Modeling in Engineering #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #FOS: Mathematics #Nonlinear Partial Differential Equations #Spectral Theory (math.SP) #Spectral Theory in Mathematical Physics
2. Robust low-rank training via approximate orthonormal constraints
   2023/06/02 by Dayana Savostianova, Savostianova, Dayana, Emanuele Zangrando +5 · 5 citations
   Computer Science · Engineering · #Advanced Image Processing Techniques #Advanced SAR Imaging Techniques #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA) #Sparse and Compressive Sensing Techniques
3. Core-periphery detection in hypergraphs
   2022/02/25 by Francesco Tudisco, Tudisco, Francesco, Desmond J. Higham +1 · 3 citations
   Physics and Astronomy · Biochemistry, Genetics and Molecular Biology · Computer Science · #Complex Network Analysis Techniques #Bioinformatics and Genomic Networks #Advanced Graph Neural Networks
4. Geometry-aware training of factorized layers in tensor Tucker format
   2023/05/30 by Emanuele Zangrando, Zangrando, Emanuele, Steffen Schotthöfer +7 · 4 citations
   Mathematics · Physics and Astronomy · Computer Science · #Tensor decomposition and applications #Model Reduction and Neural Networks #Computational Physics and Python Applications
5. Learning the effective order of a hypergraph dynamical system
   2023/06/02 by Leonie Neuhäuser, Neuhäuser, Leonie, Michael Scholkemper +5 · 3 citations
   Computer Science · #Computational Physics and Python Applications #Data Visualization and Analytics #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI) #Time Series Analysis and Forecasting
6. Optimizing network robustness via Krylov subspaces
   2023/03/09 by Stefano Massei, Francesco Tudisco, Massei, Stefano +1 · 2 citations
   Computer Science · Mathematics · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Mathematics #Graph theory and applications #Numerical Analysis (math.NA)
7. A modularity based spectral method for simultaneous community and\n anti-community detection
   2017/09/20 by Dario Fasino, Francesco Tudisco, Fasino, Dario +1 · 1 citation
   Physics and Astronomy · Mathematics · Chemistry · #Complex Network Analysis Techniques #Graph theory and applications #Molecular spectroscopy and chirality
8. Computing the norm of nonnegative matrices and the log-Sobolev constant\n of Markov chains
   2020/02/06 by Antoine Gautier, Matthias Hein, Gautier, Antoine +3 · 1 citation
   Computer Science · Mathematics · #15B48 #47H09 #47H10 #60J10 #65F35 #Advanced Optimization Algorithms Research #Advanced Topics in Algebra #Computational Complexity (cs.CC) #FOS: Computer and information sciences #FOS: Mathematics #Graph theory and applications #Matrix Theory and Algorithms #Numerical Analysis (math.NA) #Optimization and Control (math.OC) #Tensor decomposition and applications
9. Hitting times for second-order random walks
   2021/05/30 by Dario Fasino, Fasino, Dario, Arianna Tonetto +3 · 1 citation
   Mathematics · Physics and Astronomy · #Complex Network Analysis Techniques #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #FOS: Mathematics #Numerical Analysis (math.NA) #Probability (math.PR) #Random Matrices and Applications #Stochastic processes and statistical mechanics
10. Are We Measuring Oversmoothing in Graph Neural Networks Correctly?
    2025/02/07 by Kaicheng Zhang, Piero Deidda, Zhang, Kaicheng +5 · 3 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
11. Cholesky-like Preconditioner for Hodge Laplacians via Heavy Collapsible Subcomplex
    2024/01/27 by Anton Savostianov, Francesco Tudisco, Savostianov, Anton +3 · 1 citation
    Computer Science · Engineering · Materials Science · #05C50 #57M15 #62R40 #65F08 #Boron and Carbon Nanomaterials Research #FOS: Computer and information sciences #FOS: Mathematics #Numerical Analysis (math.NA) #Quantum-Dot Cellular Automata #Semiconductor materials and devices #Social and Information Networks (cs.SI)
12. Improving the robustness of neural ODEs with minimal weight perturbation
    2025/01/18 by Arturo De Marinis, Nicola Guglielmi, De Marinis, Arturo +5 · 1 citation
    Engineering · #Advanced Control Systems Optimization #Extremum Seeking Control Systems #FOS: Mathematics #Iterative Learning Control Systems #Numerical Analysis (math.NA) #Optimization and Control (math.OC)