Author

Ryan Thompson

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#artificial intelligence Preprint Sep 2026

From Synthetic Priors to Model Behavior: Structural Coverage in Tabular Foundation Models

This work recovers or reconstructs the synthetic data generators of four TFMs and compares their generated tasks with datasets from two widely used tabular benchmarks, finding substantial differences across synthetic pretraining priors.

He Zhao, Ryan Thompson, Daniel M. Steinberg et al. · 2 citations

Preprint Jul 2026

Structure Learning on Clustered Data

A new approach is introduced that estimates a global structure while accounting for local cluster-level effects, and presents a differentiable graph coupling mechanism that guarantees the union of the fixed- and random-effects graphs remains acyclic.

Ryan Thompson, Matt P. Wand, V. Baladandayuthapani · 0 citations