Andrew Saxe

@SaxeLab

Sir Henry Dale Fellow at University of Oxford, trying to figure out how we learn.

Oxford, UK
Vrijeme pridruživanja: studeni 2019.

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  1. Prikvačeni tweet
    9. pro 2019.

    I'm thrilled to be starting my research group in at . Interested in deep learning theory and neuroscience? I'm looking for team members!

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  2. proslijedio/la je Tweet
    20. sij

    Integration of New Information in Memory: New Insights from a Complementary Learning Systems Perspective

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  3. proslijedio/la je Tweet
    27. sij

    Exciting example of the emergentist perspective in the domain of number. Most interesting part: an account of developmental refinement of number sense acuity from experience - this is empirically true but very undertheorized in nativist accounts.

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  4. proslijedio/la je Tweet

    I have a favor to ask. For 20+ years I've been working on a dream: to make all science funded by US taxpayers freely available to all. We are on the verge of achieving this. But we need to show that people care. So please, if you can, sign this letter:

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  5. proslijedio/la je Tweet
    18. sij

    My paper is out on ! We explored movement signals in visual cortex and found a lot of surprising things.

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  6. proslijedio/la je Tweet
    17. sij

    let's encourage give this petition the consideration it deserves. please retweet.

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  7. proslijedio/la je Tweet
    10. sij
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  8. proslijedio/la je Tweet
    10. sij

    We have a new paper on , up now. I wanted to call it “Crushing the Hopfield limit”, but, sadly, I was overruled. Not much time today (flying to the , yay!), but in brief, WE CRUSH IT (the hopfield limit) (and in a cool cool way) (i’m excited) Ready?

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  9. proslijedio/la je Tweet
    8. sij

    Don’t forget to come to these science talks! Additionally, on Friday Jan 17 at 10 am will give his great career development talk in NRH - relevant for all stages of researchers!

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  10. 7. sij

    There's also a great related article in the same issue by and co:

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  11. 7. sij

    Our paper "On the information bottleneck theory of deep learning" has been republished (with small edits) in J Stat Mech ML special issue: A wonderful collaboration with @laika117 Artemy Kolchinsky

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  12. proslijedio/la je Tweet
    20. pro 2019.

    We're hiring: focused 2 year position in collaboration with Chris Harvey (Harvard Med School) and Yaniv Ziv (Weizmann) on reconfiguring neural codes. Please RT/apply here:

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  13. 19. pro 2019.

    When do networks abstract away from different modalities and when don't they? Great insights...

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  14. proslijedio/la je Tweet

    This is such a cool paper. So much explained with so little.

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  15. proslijedio/la je Tweet
    11. pro 2019.

    Excellent talk by on using statistical physics to understand dynamics of learning. Impressive results! Poster:

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  16. proslijedio/la je Tweet
    11. pro 2019.

    Vote tactically to stop Boris: check what that means for your postcode here

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  17. proslijedio/la je Tweet
    9. pro 2019.

    I'm happy to share my comments on the climate for men from my talk:

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  18. 10. pro 2019.
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  19. proslijedio/la je Tweet
    9. pro 2019.

    1/ New paper at : A unified theory for the origin of grid cells through the lens of pattern formation: lead by Ben Sorscher, Gabriel Mel and Sam Ocko. Spotlight: Thu Dec 12th 10:35 -- 10:40 AM @ West Exhibition Hall C + B3

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  20. proslijedio/la je Tweet
    9. pro 2019.

    Ill not be at , but is presenting work that I helped with, "Intrinsic dimension of data representations in deep neural networks", Poster Tomorrow Tue 10:45-12:45, East Exhibition Hall B + C #169.

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