AI RESEARCH
Intervening to Learn and Compose Causally Disentangled Representations
arXiv CS.LG
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ArXi:2507.04754v2 Announce Type: replace-cross In designing generative models, it is commonly believed that in order to learn useful latent structure, we face a fundamental tension between expressivity and structure. In this paper we challenge this view by proposing a new approach to