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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. Adam Santoro‏ @santoroAI 28 Nov 2018
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      We currently conflate two ideas that I'll call experimental reproducibility (e. repro) and scientific reproducibility (s. repro).

      2 replies 4 retweets 14 likes
      Show this thread
    2. Adam Santoro‏ @santoroAI 28 Nov 2018
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      E. repro concerns the validity of individual experiments. Sharing data, code, and writing papers allow us to assess the merits of experiments, but only partially allow us to assess the validity of scientific claims.

      1 reply 0 retweets 8 likes
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    3. Adam Santoro‏ @santoroAI 28 Nov 2018
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      S. repro concerns the truth of scientific claims. Perhaps counter-intuitively, acts like code sharing actually work *against* us here. S. repro demands *independent* re-implementation and assessment in various guises to eliminate the effects of researcher bias, confounders, etc

      1 reply 0 retweets 30 likes
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    4. Adam Santoro‏ @santoroAI 28 Nov 2018
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      Ideas like GANs stand tall not because hundreds of researchers build on top of the same spaghetti code, but because they've successfully re-implemented the underlying idea for transfer learning, art, and countless other purposes.

      1 reply 0 retweets 15 likes
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    5. Adam Santoro‏ @santoroAI 28 Nov 2018
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      Most fields operate mainly in the s. repro space, and honestly I was a bit shocked when I entered machine learning and saw the intense focus on e. repro.

      1 reply 0 retweets 8 likes
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    6. Adam Santoro‏ @santoroAI 28 Nov 2018
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      Nearly all the experiments done in my PhD lab were practically reproducible in only a handful of places in the world. But this doesn't invalidate the work, it just means that it'll take longer before we are certain of what we know.

      1 reply 1 retweet 9 likes
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    7. Adam Santoro‏ @santoroAI 28 Nov 2018
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      A lot of criticism circles around things like the fragility of our algorithms (e. repro), and this is well founded. But we should also be more self-aware -- why were we so invested in that one algorithm in the first place after just a single study?

      1 reply 0 retweets 8 likes
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    8. Adam Santoro‏ @santoroAI 28 Nov 2018
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      Both types of reproducibility are necessary and highly intertwined, but IMO s. repro is the most important, and proper s. repro takes patience, care, and aggregate effort.

      1 reply 0 retweets 9 likes
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    9. Adam Santoro‏ @santoroAI 28 Nov 2018
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      So, to conclude: 1) State your scientific claims in your papers! 2) Proper science guarantees that good ideas stand the test of time. Code sharing alone does not. 3) A single paper should often only contribute little to the truth value of a claim.

      1 reply 5 retweets 44 likes
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    10. Adam Santoro‏ @santoroAI 28 Nov 2018
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      4) We should not be shocked when we can't replicate results. 5) Let's be a bit more patient before declaring that the field is undergoing a "crisis". 6) And finally, let's all read a bit more philosophy of science :)

      5 replies 4 retweets 57 likes
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      Olivia Guest | Ολίβια Γκεστ‏ @o_guest 29 Nov 2018
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      Replying to @santoroAI

      Cool thread. I talked about this at ICML a little. "In this talk I will discuss the different types of replicability/reproducibility, focussing heavily on the two that involve software/computational models."https://figshare.com/articles/Varieties_of_Reproducibility_in_Empirical_and_Computational_Domains/6818018 …

      8:23 AM - 29 Nov 2018
      • 2 Retweets
      • 6 Likes
      • Judy Gichoya Dr. Christina Bergmann Esther Mondragón Suyog Chandramouli bowser Berna D. Olivia Guest | Ολίβια Γκεστ
      1 reply 2 retweets 6 likes
        1. New conversation
        2. Olivia Guest | Ολίβια Γκεστ‏ @o_guest 29 Nov 2018
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          Replying to @o_guest @santoroAI

          "However useful it is to be able to re-run code from the past, it is often secondary to doing good science because checking that the spec is generally correct — i.e., the theory is actually computationally captured — is more important to science."

          1 reply 1 retweet 5 likes
        3. Olivia Guest | Ολίβια Γκεστ‏ @o_guest 29 Nov 2018
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          Replying to @o_guest @santoroAI

          "Implementation-only details, for example, might need to be upgraded to theory-level if they turn out to be imperative to modelling a certain effect."

          1 reply 1 retweet 4 likes
        4. Olivia Guest | Ολίβια Γκεστ‏ @o_guest 29 Nov 2018
          • Report Tweet
          Replying to @o_guest @santoroAI

          "And vice versa, theory-level assumptions could be relaxed if it is found that other important aspects of the theory are nonetheless captured with a variety of implementations."

          2 replies 1 retweet 3 likes
        5. Eric Lawton‏ @Eric0Lawton 29 Nov 2018
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          Replying to @o_guest @santoroAI

          Interestingly analogous to one of the principles of Model-Driven (IT) Architecture: "Raise the level of abstraction", back at the turn of the century. Intended to make designs usable across implementations and easier to understand. http://www.methodsandtools.com/archive/archive.php?id=5 …

          1 reply 1 retweet 3 likes
        6. Eric Lawton‏ @Eric0Lawton 29 Nov 2018
          • Report Tweet
          Replying to @Eric0Lawton @o_guest @santoroAI

          (Probably too detailed to read it all now but I was amused by the idea that there's a level of abstraction where the ideas converge ☺️)

          1 reply 1 retweet 1 like
        7. Olivia Guest | Ολίβια Γκεστ‏ @o_guest 29 Nov 2018
          • Report Tweet
          Replying to @Eric0Lawton @santoroAI

          I'll check this out! Thanks!

          1 reply 0 retweets 1 like
        8. Eric Lawton‏ @Eric0Lawton 29 Nov 2018
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          Replying to @o_guest @santoroAI

          LMK if you are interested in it, I could probably save some time for you by finding something less cluttered with then-current technology. Unfortunately I no longer have access to my teaching material.

          1 reply 0 retweets 1 like
        9. Olivia Guest | Ολίβια Γκεστ‏ @o_guest 29 Nov 2018
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          Replying to @Eric0Lawton @santoroAI

          Is it really that confusing? Hahah

          0 replies 0 retweets 1 like
        10. End of conversation

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