**Poster Alert** Generalizability is a common problem in causality, as we often want to generalize causal findings from one domain to another. However, current metrics like MSE can only do model comparison rather than answer directly whether a model is generalizable.

Excited to share our latest research: Marginal Causal Flows for Validation and Inference. We introduce Frugal Flows—a normalising flows based generative model that directly parameterises causal effects, enabling realistic causal dataset simulation. arxiv.org/abs/2411.01295