TabFusion Auto

Google Research released TabFM, a foundation model for tabular data that predicts missing labels in a single forward pass by treating labeled and unlabeled rows as an in-context prompt, eliminating pe…

Google Research's TabFM, a tabular foundation model trained entirely on synthetic data generated from random causal graphs, predicts held-out cells in a single inference pass without training on the t…