| How much is enough? a study on diffusion times in score-based generative models G Franzese, S Rossi, L Yang, A Finamore, D Rossi, M Filippone, ... Entropy 25 (4), 633, 2023 | 19 | 2023 |
| GNSS for Rail Transportation LL Presti, S Sabina Switzerland: Springer, 2018 | 12 | 2018 |
| Continuous-time functional diffusion processes G Franzese, S Rossi, D Rossi, M Heinonen, M Filippone, P Michiardi arXiv preprint arXiv:2303.00800, 2023 | 10 | 2023 |
| Isotropic SGD: a Practical Approach to Bayesian Posterior Sampling G Franzese, R Candela, D Milios, M Filippone, P Michiardi arXiv preprint arXiv:2006.05087, 2020 | 8* | 2020 |
| Semi-supervised GNSS scintillations detection based on DeepInfomax G Franzese, N Linty, F Dovis Applied Sciences 10 (1), 381, 2020 | 7 | 2020 |
| Multi-modal latent diffusion M Bounoua, G Franzese, P Michiardi Entropy 26 (4), 320, 2024 | 6 | 2024 |
| Generative dna: Representation learning for dna-based approximate image storage G Franzese, Y Yan, G Serra, I D'Onofrio, R Appuswamy, P Michiardi 2021 International Conference on Visual Communications and Image Processing …, 2021 | 5 | 2021 |
| Probabilistic ensemble of deep information networks G Franzese, M Visintin Entropy 22 (1), 100, 2020 | 5 | 2020 |
| Deep Information Networks G Franzese, M Visintin arXiv preprint arXiv:1803.02251, 2018 | 4 | 2018 |
| Revisiting the Effects of Stochasticity for Hamiltonian Samplers G Franzese, D Milios, M Filippone, P Michiardi arXiv preprint arXiv:2106.16200, 2021 | 3* | 2021 |
| Sparsification as a remedy for staleness in distributed asynchronous SGD R Candela, G Franzese, M Filippone, P Michiardi arXiv preprint arXiv:1910.09466, 2019 | 2 | 2019 |
| One-Line-of-Code Data Mollification Improves Optimization of Likelihood-based Generative Models BH Tran, G Franzese, P Michiardi, M Filippone Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| MINDE: Mutual Information Neural Diffusion Estimation G Franzese, M Bounoua, P Michiardi arXiv preprint arXiv:2310.09031, 2023 | 1 | 2023 |
| Contributions to Efficient Machine Learning G Franzese Politecnico di Torino, 2021 | 1 | 2021 |
| A novel Markov model for the computation of the Continuity Risk in maritime applications IM Giulio Franzese, Letizia Lo Presti Proceedings of the 2017 International Technical Meeting of The Institute of …, 2017 | 1 | 2017 |
| SI: Score-based O-INFORMATION Estimation M Bounoua, G Franzese, P Michiardi arXiv preprint arXiv:2402.05667, 2024 | | 2024 |
| ADROIT6G A Fully Distributed and Dynamic AI-Powered Architecture for the 6G Networks I Ioannou, C Christophorou, V Vassiliou, L Christofi, SV John, EE Seder, ... 2024 EuCNC & 6G Summit, 2024 | | 2024 |
| Multi-View Latent Diffusion G Di Giacomo, G Franzese, T Cerquitelli, CF Chiasserini, P Michiardi 2023 IEEE International Conference on Big Data (BigData), 6152-6154, 2023 | | 2023 |
| ADROIT6G DAI-Driven Open and Programmable Architecture for 6G Networks C Christophorou, I Ioannou, V Vassiliou, L Christofi, JS Vardakas, ... 2023 IEEE Globecom Workshops (GC Wkshps), 744-750, 2023 | | 2023 |
| Improving Training of Likelihood-based Generative Models with Gaussian Homotopy BH Tran, G Franzese, P Michiardi, M Filippone SPIGM 2023, 1st Workshop on Structured Probabilistic Inference & Generative …, 2023 | | 2023 |
Pietro MichiardiEURECOMVerified email at eurecom.fr
