2 papers
cs.LG2026
Improving TabPFN's Synthetic Data Generation by Integrating Causal Structure
Davide Tugnoli, Andrea De Lorenzo, Marco Virgolin +1
Synthetic tabular data generation addresses data scarcity and privacy constraints in a variety of domains. Tabular Prior-Data Fitted Network (TabPFN), a recent foundation model for…
cs.AI2026
2-Step Agent: How a Bayesian Decision Maker Learns from AI-Decision Support
Otto Nyberg, Fausto Carcassi, Davide Tugnoli +1
Prognostic predictions from ML models support human decision making in several fields, including high-stakes ones such as healthcare and the judiciary. Yet, we still lack a clear u…