arxiv
PublishedOctober 12, 2026 at 4:00 AM
Neural expectation-maximization and meta-models
Publisher summary· verbatim
arXiv:2610.12741v1 Announce Type: new Abstract: We interpret Transformer networks as learned approximations to a hybrid probabilistic-inference procedure that combines max-product Loopy Belief Propagation (LBP) with Expectation--Maximization (EM). In this view, a Transformer performs inference in pa
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Originally published on arxiv ↗