Path to Prior-Data Fitted Relational Models via Learned Latent Multi-table Representations.

arXiv:2610.23073v1 Announce Type: cross Abstract: Prior-data fitted networks (PFNs) show that pretraining on large populations of synthetic tasks can enable generalization to unseen datasets with little or no downstream fine-tuning. This paradigm is effective