Publications

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Klara Bonneau, Jonas Lederer, Clark Templeton, David Rosenberger, Lorenzo Giambagli, Klaus-Robert Muller, Cecilia Clementi (2025). Peering inside the black box by learning the relevance of many-body functions in neural network potentials. Nature Communications.

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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.

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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.

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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.

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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.

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

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

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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.

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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.

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

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

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

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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.

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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.

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

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

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

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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.

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