2 papers
cs.LG2026
Advancing Open and Reproducible Relational Learning: RelArena-, TabPFN-Rel and RPI
Adrian Hayler, Klemens Flöge, Alan Arazi +44
This first release of Prior Labs in relational learning shows our continued commitment to open science. We open-source three pieces of software that we expect to accelerate researc…
cs.LG2026
Towards Evaluating Data Priors for Tabular Foundation Models
Zeynep Türkmen, Kürşat Kaya, Alexander Pfefferle +1
Data-generating priors are a central component of tabular foundation models because they define the task distribution used during pretraining. However, priors are rarely evaluated…