Aran Nayebi

@aran_nayebi

Neurosciences PhD Student

Stanford University
Vrijeme pridruživanja: lipanj 2010.

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  1. proslijedio/la je Tweet
    19. sij

    An inspiring story about a pioneering mathematician spanning and uniting the globe from Iran to the United States. Check out the preview at the bottom!

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  2. proslijedio/la je Tweet
    21. stu 2019.

    New paper out on : “From deep learning to mechanistic understanding in neuroscience: the structure of retinal prediction” with fantastic collaborators , , , Stephen Baccus, .

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  3. 24. lis 2019.

    This is an amazing achievement (even if it takes an estimated 2.5 days with IBM's 200-petaflop supercomputer (rather than the estimated 10,000 years) to classically solve the proposed sampling problem). History in the making!

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  4. 16. lis 2019.

    Looking forward to speaking at the Minisymposium "Artificial Intelligence and Neuroscience"! I'll be presenting our work on task-driven recurrent convolutional models of higher visual cortex dynamics. Monday Oct. 21, 9:55-10:15 am, Session 261, Room S406A.

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  5. proslijedio/la je Tweet
    10. ruj 2019.

    What does deep learning bring to neuroscience? What is the role of theory in the age of deep learning? Answers (and more questions) in our workshop "Brain Against the Machine", Berlin, Sep 17&18 at . Full schedule:

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  6. proslijedio/la je Tweet
    5. ruj 2019.

    Free travel for all students on accepted papers to ! From the website (): "All students who have an accepted paper at the main conference who fill out the application will receive a travel award." Please spread to students!

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  7. 19. srp 2019.

    Really awesome interview. Apparently Margaret Hamilton coined the term "software engineering" initially as a joke.

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  8. proslijedio/la je Tweet
    1. svi 2019.

    We need infant participants for our new study. Get in touch with us if you are interested in participating with your baby!

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  9. proslijedio/la je Tweet
    10. tra 2019.

    Neat new results on unsupervised visual learning from my student

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  10. proslijedio/la je Tweet

    Yoshua Bengio, Geoffrey Hinton and Yann LeCun, the fathers of , receive the 2018 for conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing today.

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  11. proslijedio/la je Tweet
    9. sij 2018.

    I was rejected from EVERY grad school I applied to. (I applied to almost all of the usual places.) Funnily, I was awarded an NSF fellowship. I HAD AN NSF FELLOWSHIP, BUT NO PHD PROGRAM TO GO TO. Luckily, Cornell let me use it for an MEng, and I used that to write up a SODA paper.

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  12. proslijedio/la je Tweet
    17. pro 2018.

    The Yoda of Silicon Valley

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  13. proslijedio/la je Tweet
    8. pro 2018.

    My new post for the Human Centered AI Initiative: a personal vision of how and other fields can work together to both understand biological intelligence and create artificial intelligence!

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  14. proslijedio/la je Tweet
    2. srp 2018.

    70 years ago this week Claude Shannon ushered in the field of information theory with his paper "A Mathematical Theory of Communication", which has been cited over 100,000 times: (via )

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  15. proslijedio/la je Tweet
    26. lip 2018.

    Finally on biorxiv... please comment and let me know what you think of this..

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  16. proslijedio/la je Tweet
    10. lip 2018.

    New preprint on state of the art models of the retinal response to natural scenes; The model's interior functionally matches that of the retina and it generalizes to capture decades of experiments on artificial stimuli

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  17. proslijedio/la je Tweet
    10. lip 2018.

    Congrats to and for expertly leading this work and thanks to a host of wonderful collaborators in the Baccus lab at : David Kastner, Josh Melander, Luke Brezovek, Aran Nayebi, and Julia Wang!

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  18. proslijedio/la je Tweet
    15. ožu 2018.

    A developmental approach to machine learning? Manifesto by Linda Smith and Lauren Slone on using data from real babies to train models: (h/t )

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  19. proslijedio/la je Tweet
    3. ožu 2018.

    Check out our poster tonight at (III-8). We show that deep networks trained to reproduce retinal responses to natural scenes also exhibit a whole host of previously published phenomena. The same models trained on white noise surprisingly don't have this property! 🤯

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  20. proslijedio/la je Tweet
    3. ožu 2018.

    Come by our poster (III-83), "Convolutional recurrent neural network models of dynamics in higher visual cortex" (presented by ) tonight!

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