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Mark Crowley

Our paper "Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting" just got accepted to !

Congrats to my PhD student Shayan as well as postdoc
Zahra Gharaee for all their hard work on this collab with Oliver Schulte.

Arxiv link: arxiv.org/abs/2302.08635

We propose a new framework for leveraging causal information to improve robustness of learning in the presence of distribution shift. Empirical results on the motion forecasting domain support the theoretical findings.