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AdamMarblestone's profile
Adam Marblestone
Adam Marblestone
Adam Marblestone
@AdamMarblestone

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Adam Marblestone

@AdamMarblestone

Technologist, Scientist

adammarblestone.org
Joined February 2009

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    1. David Pfau‏ @pfau 14 Dec 2019
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      Replying to @AdamMarblestone @xaqlab

      Graphical models got cool because Microsoft Research decided to specialize in them. Deep learning got a boost from Jeff Dean creating Google Brain in 2011. Lots of these shifts in zeitgeist have to do with the funding decisions of a few big tech companies.

      1 reply 0 retweets 3 likes
    2. Adam Marblestone‏ @AdamMarblestone 14 Dec 2019
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      Replying to @pfau @xaqlab

      You could alternatively say "when someone pushes them hard enough to show that [some of them] can scale to real problems" -- which makes it seem at least somewhat more reasonable, less contingent/sociological

      1 reply 0 retweets 1 like
    3. David Pfau‏ @pfau 14 Dec 2019
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      Replying to @AdamMarblestone @xaqlab

      Why should scaling to optimizing ads on large datacenters be a cue for neuroscientists?

      1 reply 0 retweets 1 like
    4. Adam Marblestone‏ @AdamMarblestone 14 Dec 2019
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      Replying to @pfau @xaqlab

      Better something than nothing

      1 reply 0 retweets 1 like
    5. David Pfau‏ @pfau 14 Dec 2019
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      Replying to @AdamMarblestone @xaqlab

      Probably better to be driven by actual experimental observations from neuroscience

      1 reply 0 retweets 2 likes
    6. Adam Marblestone‏ @AdamMarblestone 14 Dec 2019
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      Replying to @pfau @xaqlab

      Adam Marblestone Retweeted Rodney Brooks

      Relevant:https://twitter.com/rodneyabrooks/status/1204249212067516416 …

      Adam Marblestone added,

      Rodney Brooks @rodneyabrooks
      7/13 Perhaps there is an opportunity to reinvent evolutionary computation and exploit the competition ready training sets and massive amounts of computation.
      Show this thread
      2 replies 0 retweets 2 likes
    7. Adam Marblestone‏ @AdamMarblestone 14 Dec 2019
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      Replying to @AdamMarblestone @pfau @xaqlab

      Seriously though, approximate backprop seems simpler than approximate PGM inference... and many probabilistic inference problems can be re-framed as neural nets as the field is doing now

      1 reply 0 retweets 0 likes
    8. Adam Marblestone‏ @AdamMarblestone 14 Dec 2019
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      Replying to @AdamMarblestone @pfau @xaqlab

      And there are things like:https://www.nature.com/articles/s41467-017-00181-8 …

      1 reply 0 retweets 1 like
    9. Adam Marblestone‏ @AdamMarblestone 14 Dec 2019
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      Replying to @AdamMarblestone @pfau @xaqlab

      And PGMs have been heavily explored, while backprop was ignored for a long time... so I think things are OK

      2 replies 0 retweets 0 likes
    10. Adam Marblestone‏ @AdamMarblestone 14 Dec 2019
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      Replying to @AdamMarblestone @pfau @xaqlab

      But yes... basing as directly as possible in ground truth neuro observations would be very nice...

      2 replies 0 retweets 1 like
      Adam Marblestone‏ @AdamMarblestone 14 Dec 2019
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      Replying to @AdamMarblestone @pfau @xaqlab

      Mega relevant:https://www.youtube.com/watch?v=B2Ukzffv8Lk …

      4:52 PM - 14 Dec 2019
      • 2 Likes
      • Cole Hudson Joscha Bach
      1 reply 0 retweets 2 likes
        1. Adam Marblestone‏ @AdamMarblestone 14 Dec 2019
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          Replying to @AdamMarblestone @pfau @xaqlab

          https://www.edge.org/conversation/neil_gershenfeld-morphogenesis-for-the-design-of-design …pic.twitter.com/4jNXiEISTV

          0 replies 1 retweet 3 likes
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