arxiv
PublishedJuly 10, 2026 at 4:00 AM
—neutral
Improving TabPFN's Synthetic Data Generation by Integrating Causal Structure
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arXiv:2603.10254v3 Announce Type: replace Abstract: 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 tabular data, has been shown capable of generating high-quality syn
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Originally published on arxiv ↗