cs.LG, stat.ML

Intervening to Learn and Compose Causally Disentangled Representations

arXiv:2507.04754v2 Announce Type: replace-cross
Abstract: 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 challe…