Publications

2026

1. ICLR

   Information Estimation with Discrete Diffusion

   Alberto Foresti, Giulio Franzese, and Pietro Michiardi

   In International Conference on Learning Representations, 2026

   Bib PDF Code

   @inproceedings{foresti2026information,
     title = {Information Estimation with Discrete Diffusion},
     author = {Foresti, Alberto and Franzese, Giulio and Michiardi, Pietro},
     booktitle = {International Conference on Learning Representations},
     volume = {2026},
     pages = {21001--21043},
     year = {2026},
   }

2. arXiv

   Improved Sampling Schedules for Discrete Diffusion Models

   Alberto Foresti, Mustapha Bounoua, Giulio Franzese, and 2 more authors

   arXiv preprint arXiv:2602.06849, 2026

   arXiv Bib

   @article{foresti2026improved,
     title = {Improved Sampling Schedules for Discrete Diffusion Models},
     author = {Foresti, Alberto and Bounoua, Mustapha and Franzese, Giulio and Ambrogioni, Luca and Michiardi, Pietro},
     journal = {arXiv preprint arXiv:2602.06849},
     year = {2026},
   }

3. arXiv

   Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation

   Alberto Foresti, Ivan Butakov, Alexander Tolmachev, and 3 more authors

   arXiv preprint arXiv:2607.03487, 2026

   arXiv Bib Code

   @article{foresti2026towards,
     title = {Towards Diverse and Comprehensive Benchmarks for Mutual Information Estimation},
     author = {Foresti, Alberto and Butakov, Ivan and Tolmachev, Alexander and Franzese, Giulio and Frolov, Alexey and Michiardi, Pietro},
     journal = {arXiv preprint arXiv:2607.03487},
     year = {2026},
   }

4. arXiv

   From Atoms to Entropy: Optimal Noise Allocation for Diffusion Training in the Convex Regime

   Luca Ambrogioni, Giulio Franzese, Alberto Foresti, and 7 more authors

   arXiv preprint arXiv:2607.20540, 2026

   arXiv Bib

   @article{ambrogioni2026atoms,
     title = {From Atoms to Entropy: Optimal Noise Allocation for Diffusion Training in the Convex Regime},
     author = {Ambrogioni, Luca and Franzese, Giulio and Foresti, Alberto and Raya, Gabriel and Nguyen, Bac and Batzolis, Georgios and Takida, Yuhta and Murata, Naoki and Lai, Chieh-Hsin and Mitsufuji, Yuki},
     journal = {arXiv preprint arXiv:2607.20540},
     year = {2026},
   }

2025

1. ICLR-W

   INFO-SEDD: Continuous Time Markov Chains as Scalable Information Metrics Estimators

   Alberto Foresti, Giulio Franzese, and Pietro Michiardi

   In ICLR 2025 Workshop on Deep Generative Model in Machine Learning: Theory, Principle and Efficacy, 2025

   Bib HTML Code

   @inproceedings{foresti2025infosedd,
     title = {{INFO}-{SEDD}: Continuous Time Markov Chains as Scalable Information Metrics Estimators},
     author = {Foresti, Alberto and Franzese, Giulio and Michiardi, Pietro},
     booktitle = {ICLR 2025 Workshop on Deep Generative Model in Machine Learning: Theory, Principle and Efficacy},
     year = {2025},
   }

2. ICCV-W

   WS2: Weakly Supervised Segmentation using Before-After Supervision in Waste Sorting

   Andrea Marelli, Alberto Foresti, Leonardo Pesce, and 2 more authors

   In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, Oct 2025

   Bib

   @inproceedings{marelli2025ws2,
     title = {{WS2}: Weakly Supervised Segmentation using Before-After Supervision in Waste Sorting},
     author = {Marelli, Andrea and Foresti, Alberto and Pesce, Leonardo and Boracchi, Giacomo and Grosso, Mario},
     booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops},
     month = oct,
     pages = {1404--1413},
     year = {2025}
   }