Research Topics & Interests Foundation Models We develop foundation models tailored to tabular data, building on our work introducing the original TabPFN family of models. Our research aims to create systems that learn strong inductive biases for structured data, enabling accurate predictions across diverse tasks with minimal task-specific tuning. While tabular datasets are often treated … Continue reading Tabular Data