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This paper introduces Bayesian Flow Networks (BFNs), a generative model that uses Bayesian inference to modify independent distributions and passes them through a neural network to generate interdependent distributions. BFNs achieve competitive results in image and language modeling tasks.
https://arxiv.org/abs//2308.07037
YouTube: https://www.youtube.com/@ArxivPapers
PODCASTS:
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
By Igor Melnyk5
33 ratings
This paper introduces Bayesian Flow Networks (BFNs), a generative model that uses Bayesian inference to modify independent distributions and passes them through a neural network to generate interdependent distributions. BFNs achieve competitive results in image and language modeling tasks.
https://arxiv.org/abs//2308.07037
YouTube: https://www.youtube.com/@ArxivPapers
PODCASTS:
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

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