| Machine learning in spectral domain L Giambagli, L Buffoni, T Carletti, W Nocentini, D Fanelli Nature communications 12 (1), 1330, 2021 | 31 | 2021 |
| Global topological synchronization on simplicial and cell complexes T Carletti, L Giambagli, G Bianconi Physical review letters 130 (18), 187401, 2023 | 18 | 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 | 15 | 2022 |
| Spectral pruning of fully connected layers L Buffoni, E Civitelli, L Giambagli, L Chicchi, D Fanelli Scientific Reports 12 (1), 11201, 2022 | 12 | 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 | 12 | 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 | 8 | 2023 |
| 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 |
| Complex recurrent spectral network L Chicchi, L Giambagli, L Buffoni, R Marino, D Fanelli arXiv preprint arXiv:2312.07296, 2023 | 2 | 2023 |
| Non-parametric analysis of the Hubble Diagram with Neural Networks L Giambagli, D Fanelli, G Risaliti, M Signorini Astronomy & Astrophysics 678, 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 |
| 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, 2024 | 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 |
| A Journey Through Reciprocal Space: from Deep Spectral Learning to Topological Signals L Giambagli | | 2024 |
| Testing cosmological models with quasars at high redshift M Signorini, G Risaliti, E Lusso, G Bargiacchi, L Giambagli 44th COSPAR Scientific Assembly. Held 16-24 July 44, 2989, 2022 | | 2022 |
| Spectral Tools for Neural Networks L Giambagli Conference of the Italian Society of Statistical Physics, 2022 | | 2022 |
Duccio FanelliUniversity of FlorenceVerified email at unifi.it
