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cs.AI2026
Mind the Gap? A Distributional Comparison of Real and Synthetic Priors for Tabular Foundation Models
Alex O. Davies, Telmo de Menezes e Silva Filho, Nirav Ajmeri
Tabular foundation models are pre-trained on one of three classes of corpus: curated datasets drawn from benchmark repositories, tables harvested at scale from the web, or syntheti…
cs.AI2026
Continual learning and refinement of causal models through dynamic predicate invention
Enrique Crespo-Fernandez, Oliver Ray, Telmo de Menezes e Silva Filho +1
Efficiently navigating complex environments requires agents to internalize the underlying logic of their world, yet standard world modelling methods often struggle with sample inef…