| Machine learning in spectral domain L Giambagli, L Buffoni, T Carletti, W Nocentini, D Fanelli Nature communications 12 (1), 1330, 2021 | 44 | 2021 |
| Global topological synchronization on simplicial and cell complexes T Carletti, L Giambagli, G Bianconi Physical review letters 130 (18), 187401, 2023 | 40 | 2023 |
| Diffusion-driven instability of topological signals coupled by the Dirac operator L Giambagli, L Calmon, R Muolo, T Carletti, G Bianconi Physical Review E 106 (6), 064314, 2022 | 22 | 2022 |
| Spectral pruning of fully connected layers L Buffoni, E Civitelli, L Giambagli, L Chicchi, D Fanelli Scientific Reports 12 (1), 11201, 2022 | 22 | 2022 |
| Training of sparse and dense deep neural networks: Fewer parameters, same performance L Chicchi, L Giambagli, L Buffoni, T Carletti, M Ciavarella, D Fanelli Physical Review E 104 (5), 054312, 2021 | 17 | 2021 |
| Recurrent Spectral Network (RSN): Shaping a discrete map to reach automated classification L Chicchi, D Fanelli, L Giambagli, L Buffoni, T Carletti Chaos, Solitons & Fractals 168, 113128, 2023 | 12 | 2023 |
| Complex recurrent spectral network L Chicchi, L Giambagli, L Buffoni, R Marino, D Fanelli Chaos, Solitons & Fractals 184, 114998, 2024 | 6 | 2024 |
| Non-parametric analysis of the Hubble Diagram with Neural Networks L Giambagli, D Fanelli, G Risaliti, M Signorini Astronomy & Astrophysics 678, 2023 | 5 | 2023 |
| How a student becomes a teacher: learning and forgetting through spectral methods L Giambagli, L Buffoni, L Chicchi, D Fanelli Journal of Statistical Mechanics: Theory and Experiment 2024 (3), 034002, 2024 | 4 | 2024 |
| Turing patterns on discrete topologies: from networks to higher-order structures R Muolo, L Giambagli, H Nakao, D Fanelli, T Carletti Proceedings A 480 (2302), 20240235, 2024 | 3 | 2024 |
| A bridge between dynamical systems and machine learning: Engineered ordinary differential equations as classification algorithm (eodeca) R Marino, L Giambagli, L Chicchi, L Buffoni, D Fanelli arXiv preprint arXiv:2311.10387, 2023 | 3 | 2023 |
| Global topological Dirac synchronization T Carletti, L Giambagli, R Muolo, G Bianconi arXiv preprint arXiv:2410.15338, 2024 | 2 | 2024 |
| Stable attractors for neural networks classification via ordinary differential equations (SA-nODE) R Marino, L Buffoni, L Chicchi, L Giambagli, D Fanelli Machine Learning: Science and Technology 5 (3), 035087, 2024 | 2 | 2024 |
| How a student becomes a teacher: learning and forgetting through Spectral methods L Giambagli, L Buffoni, L Chicchi, D Fanelli Advances in Neural Information Processing Systems 36, 60291-60306, 2023 | 2 | 2023 |
| Mobility-based prediction of SARS-CoV-2 spreading L Chicchi, L Giambagli, L Buffoni, D Fanelli arXiv preprint arXiv:2102.08253, 2021 | 2 | 2021 |
| Automatic Input Feature Relevance via Spectral Neural Networks L Chicchi, L Buffoni, D Febbe, L Giambagli, R Marino, D Fanelli arXiv preprint arXiv:2406.01183, 2024 | 1 | 2024 |
| A Journey Through Reciprocal Space: from Deep Spectral Learning to Topological Signals L Giambagli | 1 | 2024 |
| Engineered ordinary differential equations as classification algorithm (eodeca): thorough characterization and testing R Marino, L Buffoni, L Chicchi, L Giambagli, D Fanelli arXiv preprint arXiv:2312.14681, 2023 | 1 | 2023 |
| Kernel shape renormalization explains output-output correlations in finite Bayesian one-hidden-layer networks P Baglioni, L Giambagli, A Vezzani, R Burioni, P Rotondo, R Pacelli arXiv preprint arXiv:2412.15911, 2024 | | 2024 |
| Deterministic versus stochastic dynamical classifiers: opposing random adversarial attacks with noise L Chicchi, D Fanelli, D Febbe, L Buffoni, F Di Patti, L Giambagli, R Marino arXiv preprint arXiv:2409.13470, 2024 | | 2024 |
Duccio FanelliUniversity of FlorenceEmail verificata su unifi.it