Sebastiano Saccani — accepted AI-conference papers

2026

Graph-Conditional Flow Matching for Relational Data Generation

Davide Scassola, Sebastiano Saccani, Luca Bortolussi

AAAI 2026technical

Data synthesis is gaining momentum as a privacy-enhancing technology. While single-table tabular data generation has seen considerable progress, current methods for multi-table data often lack the flexibility and expressiveness needed to capture complex relational structures. In particular, they str

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2025

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

Davide Scassola, Sebastiano Saccani, Ginevra Carbone, Luca Bortolussi

AAAI 2025technical

Score-based diffusion models have emerged as effective approaches for both conditional and unconditional generation. Still conditional generation is based on either a specific training of a conditional model or classifier guidance, which requires training a noise-dependent classifier, even when a c…

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