The Essence of Bayesian Flow Networks
September 20, 2024
For easy understanding, the reader can treat the variables as discrete variables. Without loss of generality, the formulation can be easily extended to continuous variables by swapping the summation with integration. This post introduces the Bayesian Flow Networks1 (BFN) in a more simple language.
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Alex Graves, Rupesh Kumar Srivastava, Timothy Atkinson, Faustino Gomez. “Bayesian flow networks”, arXiv 2023. ↩
