Davide Scassola

According to our database, Davide Scassola authored at least 6 papers between 2022 and 2025.

Collaborative distances:

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

2025

Graph Conditional Flow Matching for Relational Data Generation.

Davide Scassola, Sebastiano Saccani, Luca Bortolussi

CoRR, May, 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

2024

Multi-objective reward generalization: improving performance of Deep Reinforcement Learning for applications in single-asset trading.

Federico Cornalba, Constantin Disselkamp, Davide Scassola, Christopher Helf

Neural Comput. Appl., January, 2024

2023

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

Davide Scassola, Sebastiano Saccani, Ginevra Carbone, Luca Bortolussi

CoRR, 2023

Model Abstraction and Conditional Sampling with Score-Based Diffusion Models.

Luca Bortolussi, Francesca Cairoli, Francesco Giacomarra, Davide Scassola

Proceedings of the Quantitative Evaluation of Systems - 20th International Conference, 2023

2022

Multi-Objective reward generalization: Improving performance of Deep Reinforcement Learning for selected applications in stock and cryptocurrency trading.

Federico Cornalba, Constantin Disselkamp, Davide Scassola, Christopher Helf

CoRR, 2022