| 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 | 24 | 2023 |
| Continuous-time functional diffusion processes G Franzese, S Rossi, D Rossi, M Heinonen, M Filippone, P Michiardi arXiv preprint arXiv:2303.00800, 2023 | 15 | 2023 |
| GNSS for Rail Transportation LL Presti, S Sabina Switzerland: Springer, 2018 | 12 | 2018 |
| 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 | 8 | 2020 |
| Multi-modal latent diffusion M Bounoua, G Franzese, P Michiardi Entropy 26 (4), 320, 2024 | 6 | 2024 |
| Probabilistic ensemble of deep information networks G Franzese, M Visintin Entropy 22 (1), 100, 2020 | 5 | 2020 |
| 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 | 4 | 2021 |
| 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 |
| 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, 6545-6567, 2023 | 2 | 2023 |
| 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 |
| 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 |
| Information Theoretic Text-to-Image Alignment C Wang, G Franzese, A Finamore, M Gallo, P Michiardi arXiv preprint arXiv:2405.20759, 2024 | | 2024 |
| SI: Score-based O-INFORMATION Estimation M Bounoua, G Franzese, P Michiardi arXiv preprint arXiv:2402.05667, 2024 | | 2024 |
| DiMViS: Diffusion-based Multi-View Synthesis G DI GIACOMO, G Franzese, T Cerquitelli, CF Chiasserini, P Michiardi ICML 2024 Workshop on Structured Probabilistic Inference & Generative …, 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 |
| 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 MichiardiEURECOM在 eurecom.fr 的电子邮件经过验证
