Body: <p>Just having heard lately about BNNs (wow, ANNs and CNNs are clear; now there's a B? What's that? Ahh, Bayesian ;-)) and quickly getting their main idea and focus, that is, <strong>weights not</strong> being pure static <strong>numbers</strong> anymore, but <strong>instead</strong> described by a <strong>distribution function</strong>, allowing the net to be &quot;uncertain&quot; about its answers (for more about BNNs, see, for example, <a href="https://ai.stackexchange.com/q/26864/55856">this post</a>, or, if you want to know a lot about them, check out <a href="https://arxiv.org/pdf/2006.12024.pdf" rel="nofollow noreferrer">this introduction and survey</a>),</p>
  <p>I'm now curious about any <strong>practical examples</strong> of where BNNs are used nowadays, maybe even more successful than other (deep learning) alternatives?</p>
  <p>Thanks to <a href="https://ai.stackexchange.com/users/2444/nbro">nbro</a>'s comment <a href="https://ai.stackexchange.com/a/34170/55856">here</a>, pointing out that asking this question is not unknowingly, but relevant.</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2022-06-24T00:24:05.760Z
Comments.Text: Please edit the question to limit it to a specific problem with enough detail to identify an adequate answer.
Comments.UserDisplayName: Community
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2022-06-24T03:45:11.103Z
Comments.Text: https://arxiv.org/pdf/2002.00269.pdf
Comments.UserDisplayName: Daniel
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2022-06-27T06:36:36.240Z
Comments.Text: @Community I am questioning today's practicality of BNNs and asking (see tags) for state-of-the-art and/or references. I think it's clear what I am asking and how an adequate answer would look like. Please correct me if I am mistaken here.
Comments.UserDisplayName: Mathy
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2022-06-27T06:41:23.463Z
Comments.Text: @dangom I skimmed that article but I honestly could not find any real value about my question in it. It's morge like the introduction and survey I linked above; but not about its daily use.
Comments.UserDisplayName: Mathy
Tags: <reference-request><applications><state-of-the-art><bayesian-deep-learning><bayesian-neural-networks>
Title: Today's Practicality of Bayesian Neural Networks
UserDisplayName: Mathy
ThreadText: # Today's Practicality of Bayesian Neural Networks
  
  (Asked by: username_0 on 2022-06-23)
  
  Just having heard lately about BNNs (wow, ANNs and CNNs are clear; now there's a B? What's that? Ahh, Bayesian ;-)) and quickly getting their main idea and focus, that is, **weights not** being pure static **numbers** anymore, but **instead** described by a **distribution function**, allowing the net to be "uncertain" about its answers (for more about BNNs, see, for example, [this post](https://ai.stackexchange.com/q/26864/55856), or, if you want to know a lot about them, check out [this introduction and survey](https://arxiv.org/pdf/2006.12024.pdf)),
  
  I'm now curious about any **practical examples** of where BNNs are used nowadays, maybe even more successful than other (deep learning) alternatives?
  
  Thanks to [nbro](https://ai.stackexchange.com/users/2444/nbro)'s comment [here](https://ai.stackexchange.com/a/34170/55856), pointing out that asking this question is not unknowingly, but relevant.
  
  **Tags:** reference-request, applications, state-of-the-art, bayesian-deep-learning, bayesian-neural-networks
  > **Comments:**
  > **username_1**: Please edit the question to limit it to a specific problem with enough detail to identify an adequate answer.  
  > **username_2**: https://arxiv.org/pdf/2002.00269.pdf  
  > **username_0**: @Community I am questioning today's practicality of BNNs and asking (see tags) for state-of-the-art and/or references. I think it's clear what I am asking and how an adequate answer would look like. Please correct me if I am mistaken here.  
  > **username_0**: @dangom I skimmed that article but I honestly could not find any real value about my question in it. It's morge like the introduction and survey I linked above; but not about its daily use.  
  
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  ## 0 answers
  
  