Davide Scassola

I’m a researcher in collaboration with AINDO. My research focuses on generative models, in particular for tabular and relational data. I’m also interested in Bayesian methods, causality and probabilistic machine learning in general.

Selected Publications

AAAI

Zero-Shot Conditioning of Score-Based Diffusion Models by Neuro-Symbolic Constraints

Davide Scassola, Sebastiano Saccani, Ginevra Carbone, and 1 more author

In Proceedings of the AAAI Conference on Artificial Intelligence, 2025

arXiv Bib Code

@inproceedings{scassola2025zero,
  title = {Zero-Shot Conditioning of Score-Based Diffusion Models by Neuro-Symbolic Constraints},
  author = {Scassola, Davide and Saccani, Sebastiano and Carbone, Ginevra and Bortolussi, Luca},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
  volume = {39},
  number = {19},
  pages = {20302--20309},
  year = {2025},
}

AAAI

Graph-Conditional Flow Matching for Relational Data Generation

Davide Scassola, Sebastiano Saccani, and Luca Bortolussi

In Proceedings of the AAAI Conference on Artificial Intelligence, 2026

arXiv Bib Code

@inproceedings{scassola2026graph,
  title = {Graph-Conditional Flow Matching for Relational Data Generation},
  author = {Scassola, Davide and Saccani, Sebastiano and Bortolussi, Luca},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
  volume = {40},
  number = {30},
  pages = {25209--25217},
  year = {2026},
}

arXiv

A Sobering Look at Tabular Data Generation via Probabilistic Circuits

Davide Scassola, Dylan Ponsford, Adrián Javaloy, and 4 more authors

arXiv preprint arXiv:2603.23016, 2026

arXiv Bib Code

@article{scassola2026sobering,
  title = {A Sobering Look at Tabular Data Generation via Probabilistic Circuits},
  author = {Scassola, Davide and Ponsford, Dylan and Javaloy, Adri{\'a}n and Saccani, Sebastiano and Bortolussi, Luca and Gouk, Henry and Vergari, Antonio},
  journal = {arXiv preprint arXiv:2603.23016},
  year = {2026},
}