Lenka Zdeborova

@zdeborova

CNRS researcher in CEA Saclay. Une mathémaphysinformaticienne. Passionate mushroom hunter. Tamer of two little dragons.

France
Vrijeme pridruživanja: listopad 2012.

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  1. Prikvačeni tweet
    13. sij

    Do you want to enjoy this view for a month while learning about Statistical Physics and Machine Learning from e.g. , , , , ? Applications just opened, more info at . Please help to spread the word.

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  3. proslijedio/la je Tweet
    28. sij

    Going back to the « AI &  » talks this afternoon with a panel discussion including Shirley Ho from , from , Danilo Jimenez Rezende from , from and from

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  4. proslijedio/la je Tweet
    28. sij

    discusses using physics methods to study and understand deep learning!

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  5. proslijedio/la je Tweet
    28. sij

    .’s talk on statistical physics for machine learning: we really need an answer to those questions. To me, one of the most interesting topic in Science right now!!

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  6. proslijedio/la je Tweet
    28. sij

    Road towards a theory of neural networks? Amazing statistical physics approach to understanding NN by at the AI & Physics track of

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  7. 28. sij

    I was completely mesmerized by ‘s talk yesterday at ! Today the track AI & Physics starting with my humble contribution and a lot of friends around.

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  8. 26. sij

    Jestě jednou díky. Těším se na příští!

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  9. proslijedio/la je Tweet
    25. sij
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  10. proslijedio/la je Tweet
    13. sij

    Recent advances in machine learning have enhanced opportunities in many areas of physical science research. This Reviews of Modern Physics article covers applications, successes, methods, and challenges.

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  11. proslijedio/la je Tweet
    13. sij

    Věda je podle Lenky Zdeborové sociální záležitost. Proč se rozhodla dělat ji ve Francii? A jaké má vztahy s Českem? Ptali jsme se na konferenci :

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  12. proslijedio/la je Tweet
    13. sij

    Happy to be invited speaker @ Alan Turing institute in the British Institute in London for what seems to be a fantastic event with a great list of speakers "Statistics and Computation" The even is live on

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  13. proslijedio/la je Tweet
    11. sij

    Really proud of being editor of the special issue of on the theory Machine learning with long version of papers from 2018 , & . They are some real gems in there!

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  14. 7. sij

    A pretty amazing lineup of papers related to statistical physics & machine learning from 2018 , & in now collected in . See and enjoy :)!

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  15. proslijedio/la je Tweet
    3. sij

    Thresholds of descending algorithms in inference problems by Stefano Sarao Mannelli and

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

    Přečtěte si reportáž z našeho předvánočního setkání. Můžete se těšit i na několik rozhovorů s účastníky konference

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

    A broad overview of current uses of methods in physics by , Cirac, , , Schuld, , Vogt-Maranto, and in RMP . Really liked the 3page summary of ML in the introduction.

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  18. proslijedio/la je Tweet
    21. pro 2019.

    Velmi zajímavá přednáška od na konferenci

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  19. proslijedio/la je Tweet

    Lenka Zdeborova talking about understanding machine learning via statistical physics models at

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

    Full room for for the Machine Learning and the Physical Sciences session @ on "Understanding machine learning via exactly solvable statistical physics models"

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