PhD student, Massachusetts Institute of Technology
1 paper at NeurIPS 2025
CausalPFN is a pre-trained transformer that amortizes causal effect estimation: trained once on simulated data-generating processes, it outputs calibrated effects for new observational datasets with zero tuning.
