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o_guest's profile
Olivia Guest | Ολίβια Γκεστ
Olivia Guest | Ολίβια Γκεστ
Olivia Guest | Ολίβια Γκεστ
@o_guest

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Olivia Guest | Ολίβια Γκεστ

@o_guest

• goth gremlin • computational cognitive/neuroscience modeling • geek & techish Cypriot • plant aficionada • came up with #bropenscience • http://neuroplausible.com  •

Τότεναμ, Λονδίνο & Cyprus
olivia.science
Joined October 2015

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    1. Olivia Guest | Ολίβια Γκεστ‏ @o_guest 29 Jan 2018
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      Comparing optics to deep networks: "That’s not because optics is easy. It’s because the mental models in optics are organized well. Modern optics is taught in layers of abstraction." h/t @aeronlaffere http://www.argmin.net/2018/01/25/optics/ …

      2 replies 4 retweets 10 likes
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    2. Olivia Guest | Ολίβια Γκεστ‏ @o_guest 29 Jan 2018
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      "It would be easier to design deep nets if we could talk about the action of each of its layers the way we talk about the action of an optical element on the light that passes through it." http://www.argmin.net/2018/01/25/optics/ …

      1 reply 2 retweets 3 likes
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    3. Olivia Guest | Ολίβια Γκεστ‏ @o_guest 29 Jan 2018
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      "[N]ewcomers to our field [are] equipp[ed] with little more than folklore [and] then asking them to innovate. We can barely agree on the phenomena that we should be explaining away. I think we’re far from teaching this stuff in high schools." http://www.argmin.net/2018/01/25/optics/ …

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      Olivia Guest | Ολίβια Γκεστ‏ @o_guest 29 Jan 2018
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      "I have started a massive empirical effort to catalogue mental models that are ambient in our field, to formalize them, and to then validate them with experiments. [...] I think it’s the first step to developing a layered mental model of deep learning" http://www.argmin.net/2018/01/25/optics/ …

      11:14 AM - 29 Jan 2018
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      • Esther Mondragón Iris van Rooij Olivia Guest | Ολίβια Γκεστ
      1 reply 2 retweets 1 like
        1. New conversation
        2. Esther Mondragón‏ @twitemp1 29 Jan 2018
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          Replying to @o_guest

          This goes beyond my knowledge, just a question: would having specific models at various layers of abstraction lead to a specific output at each level?

          1 reply 0 retweets 1 like
        3. Olivia Guest | Ολίβια Γκεστ‏ @o_guest 29 Jan 2018
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          Replying to @twitemp1

          By specific you mean predictable?

          1 reply 0 retweets 1 like
        4. Esther Mondragón‏ @twitemp1 29 Jan 2018
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          Replying to @o_guest

          Yes, at least within a range.

          1 reply 0 retweets 0 likes
        5. Esther Mondragón‏ @twitemp1 29 Jan 2018
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          Replying to @twitemp1 @o_guest

          If so DL would stop being a black box

          1 reply 0 retweets 2 likes
        6. Olivia Guest | Ολίβια Γκεστ‏ @o_guest 29 Jan 2018
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          Replying to @twitemp1

          Mostly agree. I think understanding (i.e., shining a light into a black box) is linked to predicting but not so straightforwardly.

          1 reply 0 retweets 1 like
        7. Esther Mondragón‏ @twitemp1 29 Jan 2018
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          Replying to @o_guest

          Probably not. I would guess that formal analysis is much needed

          1 reply 0 retweets 1 like
        8. Olivia Guest | Ολίβια Γκεστ‏ @o_guest 29 Jan 2018
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          Replying to @twitemp1

          Yeah, exactly. You can not understand something (ergo still a black box) and yet still memorise and even duplicate all the input output mappings.

          1 reply 0 retweets 1 like
        9. Olivia Guest | Ολίβια Γκεστ‏ @o_guest 29 Jan 2018
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          Replying to @o_guest @twitemp1

          This is why I take a stand when people say cog sci is reverse engineering the brain or mind. It's so much more than that!

          2 replies 0 retweets 1 like
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