State-Space Models for Tabular Prior-Data Fitted Networks

Felix Koch, Marcel Wever, Fabian Raisch +1

Recent advancements in foundation models for tabular data, such as TabPFN, demonstrated that pretrained Transformer architectures can approximate Bayesian inference with high predi…