2 papers
cs.LG2026
Out-of-the-Box Tabular Foundation Models for Bayesian Optimization in Materials Discovery
Klemens Flöge, Simon Bing, Leo Grinsztajn +4
Bayesian optimization is widely used in active learning loops for materials science. Gaussian processes serve as the de-facto surrogate model family, but require task-dependent ker…
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…