Sebastiano Saccani

According to our database, Sebastiano Saccani authored at least 7 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Graph Conditional Flow Matching for Relational Data Generation.

Davide Scassola, Sebastiano Saccani, Luca Bortolussi

CoRR, May, 2025

Contrastive Learning-Based privacy metrics in Tabular Synthetic Datasets.

Milton Nicolás Plasencia Palacios, Sebastiano Saccani, Gabriele Sgroi, Alexander T. P. Boudewijn, Luca Bortolussi

CoRR, February, 2025

Meta-learning approach for variational autoencoder hyperparameter tuning.

Michele Berti, Matheus Camilo da Silva, Sebastiano Saccani, Sylvio Barbon Junior

J. Univers. Comput. Sci., 2025

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

Davide Scassola, Sebastiano Saccani, Ginevra Carbone, Luca Bortolussi

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2023

Conditioning Score-Based Generative Models by Neuro-Symbolic Constraints.

Davide Scassola, Sebastiano Saccani, Ginevra Carbone, Luca Bortolussi

CoRR, 2023

A Deep Learning-Based Pipeline for the Generation of Synthetic Tabular Data.

Daniele Panfilo, Alexander T. P. Boudewijn, Sebastiano Saccani, Andrea Coser, Borut Svara, Carlo Rossi Chauvenet, Ciro Antonio Mami, Eric Medvet

IEEE Access, 2023

2022

Generating Realistic Synthetic Relational Data through Graph Variational Autoencoders.

Ciro Antonio Mami, Andrea Coser, Eric Medvet, Alexander T. P. Boudewijn, Marco Volpe, Michael Whitworth, Borut Svara, Gabriele Sgroi, Daniele Panfilo, Sebastiano Saccani

CoRR, 2022