AI RESEARCH
Order-Agnostic Autoregressive Modelling with Missing Data
arXiv CS.LG
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ArXi:2605.06355v1 Announce Type: new Order-Agnostic autoregressive models have nstrated strong performance in deep generative modeling, yet their use in settings with incomplete data remains largely unexplored. In this work, we reinterpret them through the lens of missing data. First, we show that their standard