Publications

Quickly discover relevant content by filtering publications.
Lorenzo Chicchi, Duccio Fanelli, Diego Febbe, Lorenzo Buffoni, Francesca Di Patti, Lorenzo Giambagli, Raffaele Marino (2025). Deterministic versus stochastic dynamical classifiers: opposing random adversarial attacks with noise. Machine Learning: Science and Technology.

Cite DOI

Paolo Baglioni, Lorenzo Giambagli, Alessandro Vezzani, Raffaella Burioni, Pietro Rotondo, Rosalba Pacelli (2025). Kernel shape renormalization explains output-output correlations in finite Bayesian one-hidden-layer networks. Physical Review E.

Cite DOI

Raffaele Marino, Lorenzo Buffoni, Lorenzo Chicchi, Francesca Di Patti, Diego Febbe, Lorenzo Giambagli, Duccio Fanelli (2025). Learning in Wilson-Cowan model for metapopulation. Neural Computation.

Cite Source Document

Ana P. Millán, Hanlin Sun, Lorenzo Giambagli, Riccardo Muolo, Timoteo Carletti, Joaquín J. Torres, Filippo Radicchi, Jürgen Kurths, Ginestra Bianconi (2025). Topology shapes dynamics of higher-order networks. Nature Physics.

PDF Cite Source Document

Timoteo Carletti, Lorenzo Giambagli, Riccardo Muolo, Ginestra Bianconi (2025). Global topological Dirac synchronization. Journal of Physics: Complexity.

Cite Source Document

Riccardo Muolo, Lorenzo Giambagli, Hiroya Nakao, Duccio Fanelli, Timoteo Carletti (2024). Turing patterns on discrete topologies. Proceedings of the Royal Society A.

Cite Source Document

Lorenzo Giambagli, Lorenzo Buffoni, Lorenzo Chicchi, Duccio Fanelli (2023). How a student becomes a teacher: learning and forgetting through Spectral methods. Advances in Neural Information Processing Systems.

PDF Cite Source Document

Raffaele Marino, Lorenzo Giambagli, Lorenzo Chicchi, Lorenzo Buffoni, Duccio Fanelli (2023). A Bridge between Dynamical Systems and Machine Learning: Engineered Ordinary Differential Equations as Classification Algorithm (EODECA). arXiv preprint arXiv:2311.10387.

PDF Cite Source Document

Lorenzo Chicchi, Lorenzo Giambagli, Lorenzo Buffoni, Raffaele Marino, Duccio Fanelli (2023). Complex Recurrent Spectral Network. Chaos, Solitons & Fractals.

PDF Cite Source Document DOI

Timoteo Carletti, Lorenzo Giambagli, Ginestra Bianconi (2023). Global topological synchronization on simplicial and cell complexes. Physical review letters.

PDF Cite Source Document

Lorenzo Giambagli, Duccio Fanelli, Guido Risaliti, Matilde Signorini (2023). Non-parametric analysis of the Hubble Diagram with Neural Networks. Astronomy & Astrophysics.

PDF Cite Project Source Document

Lorenzo Chicchi, Duccio Fanelli, Lorenzo Giambagli, Lorenzo Buffoni, Timoteo Carletti (2023). Recurrent Spectral Network (RSN): Shaping a discrete map to reach automated classification. Chaos, Solitons & Fractals.

PDF Cite Source Document

Lorenzo Giambagli, Lucille Calmon, Riccardo Muolo, Timoteo Carletti, Ginestra Bianconi (2022). Diffusion-driven instability of topological signals coupled by the Dirac operator. Physical Review E.

PDF Cite Project Source Document

Lorenzo Buffoni, Enrico Civitelli, Lorenzo Giambagli, Lorenzo Chicchi, Duccio Fanelli (2022). Spectral pruning of fully connected layers. Scientific Reports.

PDF Cite Source Document

Lorenzo Giambagli, Lorenzo Buffoni, Timoteo Carletti, Walter Nocentini, Duccio Fanelli (2021). Machine learning in spectral domain. Nature communications.

PDF Cite Source Document

Lorenzo Chicchi, Lorenzo Giambagli, Lorenzo Buffoni, Duccio Fanelli (2021). Mobility-based prediction of SARS-CoV-2 spreading. arXiv preprint arXiv:2102.08253.

Cite

Lorenzo Chicchi, Lorenzo Giambagli, Lorenzo Buffoni, Timoteo Carletti, Marco Ciavarella, Duccio Fanelli (2021). Training of sparse and dense deep neural networks: Fewer parameters, same performance. Physical Review E.

PDF Cite Source Document