2 papers
cs.LG2026
A Causal Foundation Model for Structure and Outcome Prediction
Max Zhu, Martino Mansoldo, Ching-Hao Wang +1
We introduce TabPFN-CFM, a causal foundation model that can handle multiple causal problems. TabPFN-CFM predicts both causal structure and outcomes from observational data, support…
q-bio.GN2026
Single-Cell Cross-Modal Transfer by Adversarial Fine-Tuning of Foundation Models
Joseph Boyd, Matthew Lyon, Martino Mansoldo +2
Spatial transcriptomics (ST) is a powerful tool for exploring biological properties dependent on structure, proximity, and interaction in tissue. The methods underpinning ST are de…