joel dapello

@joeldapello

Computational neuroscientist doing PhD work with Jim DiCarlo and David Cox | cooking and adventuring | he/him

Vrijeme pridruživanja: prosinac 2014.

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    Neural Tangent Kernels (NTK) are a way of understanding neural networks in a certain domain (in the limit of N ->\infty, W0 not ~0). It is beautiful. And somewhat counterintuitive. Here are two nice write-ups aimed at explaining: ,

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    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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    25. pro 2019.
    Odgovor korisniku/ci

    I do not see how invoking his title as Chair of the Usage Panel of the AHD validates Steve Pinker’s claim. I invite him and all members of the Usage Panel to look for instead of , as I did by mistake in my office many years ago.

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    23. pro 2019.

    Happy holiday suggestion: let's all upload preprints to arxiv with figures and captions in place so humans can read them. And provide that copy to journals for reviewers

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    20. pro 2019.

    Excited to post my preprint about RNNs, dynamics, and ! Here’s a quick explaining the main ideas: 1/10

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  6. 13. pro 2019.
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    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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    In the future, robots will follow Asimov's First Law by harming exactly 2^16 people at a time

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    science propaganda at its most repellant - Eric Lander and should be ashamed of themselves

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