Max Puelma Touzel

@mptouzel

Husband&dad • IVADO postdoc @ • Fig1&7 *T*heory in physics, biology and learning • coupling silos for collective effects• plays well with neurons

Vrijeme pridruživanja: travanj 2017.

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  1. Prikvačeni tweet
    20. pro 2019.

    Did you see "A new hope"? Not StarWars, but our lively panel discussion with Bengio, Fiete, , Lillicrap, , Savin, at (end of TOC; starts at 42:27). All workshop content online!

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  2. proslijedio/la je Tweet

    Since this comes up a lot, a quick run though of the testable, falsifiable, science that supports a human cause of recent trends in global mean temperature.

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  3. 18. sij

    Nice sqrt scaling of # items recalled to # items stored over the requisite 2 orders of magnitude

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  4. proslijedio/la je Tweet

    Some of ’s most fascinating work happens at the intersection of AI and neuroscience. Our paper published in today is a good example. It takes inspiration from our recent work in Reinforcement Learning to shed new light on how dopamine works in the brain.

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  5. 15. sij

    Recent example of NeuroAI approach for RL.

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  6. 25. pro 2019.
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  7. proslijedio/la je Tweet

    One of my very favorite space images of all time: snowstorm on a comet (plus a whole lotta cosmic ray hits to the sensor). May all your solstices include reflections on the beauty and depth of the exquisite universe around us!

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  8. 22. pro 2019.

    "[Physicists] too have been brought up inside a discipline, and are as prone as any of us to blunder when they step outside. The issue is not who “owns” particular problems in science, but about developing useful tools for thinking about how things work."

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  9. 14. pro 2019.

    Nice recent neuroAI research survey by

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  10. 13. pro 2019.

    More generally, replace "bioinformatics" with "mathematical modelling". Any bio department that isn't trying in earnest to navigate this transition should be called out for providing inadequate training.

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  11. 12. pro 2019.

    Trying to navigate the tension: model-based RL feels so right, but compounding errors are so bad...

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

    Oldies but goldies: Jordan, Kinderlehrer, Otto, The Variational Formulation of the Fokker-Planck Equation. Showed that heat equation is Optimal Transport flow (i.e. flow of particles) minimizing Shannon entropy. Other entropies lead to non-linear PDEs.

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  13. proslijedio/la je Tweet
    4. pro 2019.

    . & I are co-organizing the next Conference Apr 1, 2020—no joke!—on the topic Triangulating Intelligence: Melding Neuroscience, Psychology, and AI. Botvinick——Tenenbaum——save the date!

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  14. 28. stu 2019.

    The singular triumph of probably any methodology that distills phenomena into classes dependent on the problem's determining degrees of freedom is the day you assemble the phase diagram for your problem. Today was that day. What a great feeling!

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  15. 26. stu 2019.

    is a dying breed in that regard thankfully and you know how they say science advances one "get together" at a time...

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  16. 26. stu 2019.

    Also issue in caricatured neuroscience, pithily captured (again) by , in description of Neural Networks submitters: not even fig7 worthy. "Relegated" to fig11k no less.

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  17. 23. stu 2019.

    Naturalistic behavior in structured environments - modern art style. MTL brews channelling a fav model system for physics of behavior.

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  18. proslijedio/la je Tweet
    18. stu 2019.

    Trends in Cognitive Sciences Theories of Error Back-Propagation in the Brain

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  19. 16. stu 2019.

    At . Radoslaw Cichy proposes deepnets as the Duchamp toilet of neuroscience. Not sure I fully get the analogy. But certainly evocative.

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  20. proslijedio/la je Tweet
    15. stu 2019.
    , , i još njih 4
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