Publications

A. Foresti, M. Bounoua, G. Franzese, L. Ambrogioni, and P. Michiardi. Improved Sampling Schedules for Discrete Diffusion Models. arXiv preprint, 2026 arXiv
A. Foresti, G. Franzese, and P. Michiardi. Information Estimation with Discrete Diffusion. The Fourteenth International Conference on Learning Representations (ICLR), 2026 arXiv code Also known as INFO-SEDD
C. Wang, L. Nepote, G. Franzese, and P. Michiardi. Relative Entropy Estimation in Function Space: Theory and Applications to Trajectory Inference. 43rd International Conference on Machine Learning (ICML), 2026 arXiv code
A. Foresti, I. Butakov, A. Tolmachev, G. Franzese, A. Frolov, and P. Michiardi. Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation. arXiv preprint, 2026 arXiv
G. Franzese, S. Rossi, and P. Michiardi. ALICE: In-context, Zero-shot, Mutual Information Estimation. arXiv preprint, 2026 arXiv code
S. P. Galeano Muñoz, M. Bounoua, G. Franzese, P. Michiardi, and M. Filippone. DIPHINE: Diffusion-based Φ-ID Neural Estimator. arXiv preprint, 2026 arXiv
S. P. Galeano Muñoz, M. Bounoua, G. Franzese, P. Michiardi, and M. Filippone. TENDE: Transfer Entropy Neural Diffusion Estimation. 29th International Conference on Artificial Intelligence and Statistics (AISTATS), 2026 arXiv

G. Franzese and P. Michiardi. Generative diffusion models in infinite dimensions: a survey. Philosophical Transactions A, 383(2299), 2025
S. Clemente, Z. Ben Houidi, A. Huet, D. Rossi, G. Franzese, and P. Michiardi. In Praise of Stubbornness: The Case for Cognitive-Dissonance-Aware Knowledge Updates in LLMs. arXiv preprint, 2025 arXiv
C. Wang, G. Franzese, A. Finamore, M. Gallo, and P. Michiardi. Information Theoretic Text-to-Image Alignment. The Thirteenth International Conference on Learning Representations, 2025
G. Franzese, M. Martini, G. Corallo, P. Papotti, and P. Michiardi. Latent Abstractions in Generative Diffusion Models. Entropy, 27(4), 2025 arXiv
M. Bounoua, G. Franzese, and P. Michiardi. Learning to Match Unpaired Data with Minimum Entropy Coupling. Forty-second International Conference on Machine Learning, 2025 arXiv
M. Rosso, S. Rossi, G. Franzese, M. Heinonen, and M. Filippone. Scaling Laws for Uncertainty in Deep Learning. arXiv preprint, 2025 arXiv
C. Wang, G. Franzese, A. Finamore, and P. Michiardi. RFMI: Estimating Mutual Information on Rectified Flow for Text-to-Image Alignment. ICLR 2025 Workshop on Deep Generative Model in Machine Learning: Theory, Principle and Efficacy, 2025 arXiv

G. Di Giacomo, G. Franzese, T. Cerquitelli, C. Chiasserini, and P. Michiardi. DiMViDA: Diffusion-Based Multi-View Data Augmentation. 2024 IEEE 29th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), 2024
M. Bounoua, G. Franzese, and P. Michiardi. Multi-modal latent diffusion. Entropy, 26(4), 2024
G. Di Giacomo, G. Franzese, T. Cerquitelli, C. F. Chiasserini, and P. Michiardi. DiMViS: Diffusion-Based Multi-View Synthesis. ICML 2024 Workshop on Structured Probabilistic Inference & Generative Modeling, 2024
G. Franzese, M. Bounoua, and P. Michiardi. MINDE: Mutual Information Neural Diffusion Estimation. The Twelfth International Conference on Learning Representations, 2024 arXiv code
M. Bounoua, G. Franzese, and P. Michiardi. SΩI: Score-based O-INFORMATION Estimation. ICML 2024, 41st International Conference on Machine Learning, 2024 arXiv code Oral presentation

G. Franzese, G. Corallo, S. Rossi, M. Heinonen, M. Filippone, and P. Michiardi. Continuous-Time Functional Diffusion Processes. 37th Conference on Neural Information Processing Systems, NeurIPS 2023, 2023 arXiv code
G. Franzese, S. Rossi, L. Yang, A. Finamore, D. Rossi, M. Filippone, and P. Michiardi. How much is enough? a study on diffusion times in score-based generative models. Entropy, 25(4), 2023
B.-H. Tran, G. Franzese, P. Michiardi, and M. Filippone. Improving Training of Likelihood-based Generative Models with Gaussian Homotopy. SPIGM 2023, 1st Workshop on Structured Probabilistic Inference & Generative Modeling, co-located with ICML 2023, 2023
M. Bounoua, G. Franzese, and P. Michiardi. Masked Multi-time Diffusion for Multi-modal Generative Modeling. NeurIPS 2023 Workshop on Diffusion Models, 2023
G. Di Giacomo, G. Franzese, T. Cerquitelli, C.-F. Chiasserini, and P. Michiardi. Multi-View Latent Diffusion. 2023 IEEE International Conference on Big Data (BigData), 2023
B.-H. Tran, G. Franzese, P. Michiardi, and M. Filippone. One-line-of-code data mollification improves optimization of likelihood-based generative models. Advances in Neural Information Processing Systems, 36, 2023

G. Franzese, S. Rossi, L. Yang, A. Finamore, D. Rossi, M. Filippone, and P. Michiardi. A New Look on Diffusion Times for Score-based Generative Models. ICML 2022, 39th International Conference on Machine Learning, Continuous time methods for machine learning Workshop, 2022
G. Franzese, D. Milios, M. Filippone, and P. Michiardi. Revisiting the Effects of Stochasticity for Hamiltonian Samplers. Proceedings of the 39th International Conference on Machine Learning, 2022

G. Franzese, D. Milios, M. Filippone, and P. Michiardi. A scalable bayesian sampling method based on stochastic gradient descent isotropization. Entropy, 23(11), 2021
G. Franzese. Contributions to Efficient Machine Learning. PhD thesis, Politecnico di Torino, 2021
G. Franzese, Y. Yan, G. Serra, I. D’Onofrio, R. Appuswamy, and P. Michiardi. Generative dna: Representation learning for dna-based approximate image storage. 2021 International Conference on Visual Communications and Image Processing (VCIP), 2021

G. Franzese and M. Visintin. Probabilistic ensemble of deep information networks. Entropy, 22(1), 2020
G. Franzese, N. Linty, and F. Dovis. Semi-supervised GNSS scintillations detection based on DeepInfomax. Applied Sciences, 10(1), 2020

R. Candela, G. Franzese, M. Filippone, and P. Michiardi. Sparsification as a Remedy for Staleness in Distributed Asynchronous SGD. arXiv preprint, 2019 arXiv

G. Franzese and M. Visintin. Deep Information Networks. arXiv preprint, 2018 arXiv

G. Franzese, L. Lo Presti, and I. Martini. A novel Markov model for the computation of the Continuity Risk in maritime applications. Proceedings of the 2017 International Technical Meeting of The Institute of Navigation, 2017

S. Ugazio, G. Franzese, L. Lo Presti et al. LOS/NLOS detection combining adaptive filtering and channel propagation model. Satellite Navigation Technologies and European Workshop on GNSS Signals and Signal Processing (NAVITEC), 2014 7th ESA Workshop on, 2014