Robert Dionne

@robertsdionne

Software Engineer interested in Machine Learning and Natural Language Processing and Generation; MFA graduate from NYU Game Center.

New York, NY
Joined June 2009

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  1. Pinned Tweet
    30 Jun 2016

    My summary of the Deep Residual Networks ICML 2016 tutorial:

  2. Retweeted
    Jun 9
    Replying to

    Ran a 10 layer NN and viewed the activation distributions. Here are the results for SELU and ReLU respectively.

  3. Retweeted
    Jun 9
    Replying to

    This is the magic SELU activation function.

  4. Retweeted
    Jun 2

    Brilliant new typeface by Liron Lavi Turkenich uses perceptual principles to hybridize Arabic & Hebrew scripts.

  5. Retweeted
    May 17

    11.5 petaflops... Now google "number of synaptic connections in human brain": Impressive !

  6. Retweeted
    May 3

    Hey, if you're a journalist getting hit with random Google Doc invites right now, do not click. Forward phishing attacks to cooperq@eff.org

  7. Retweeted
    Apr 27

    A New Type of Neurons for Machine Learning

  8. Retweeted
    Apr 25
    Replying to
  9. Retweeted
    Apr 18

    "Representing Sentences as Low-Rank Subspaces," Mu et al.:

  10. Retweeted
    Apr 21
  11. Retweeted
    Apr 18

    New blog post on acapella extraction with ConvNets in –with samples + code! Happy to finally share this 😁

  12. Retweeted
    Apr 19
  13. Retweeted
    Apr 19

    We've open sourced the Differentiable Neural Computer! Built with and . Available here:

  14. Retweeted
    Apr 10
  15. Retweeted
    Apr 9

    overbook and decided to force random passengers off the plane. Here's how they did it:

  16. Retweeted
    Mar 30

    Evolution Strategies: embarrassingly simple, distributed, gradient-free optimisation review+ thoughts on extensions:

  17. Retweeted
    Mar 28

    GCI solved nearly 3 yrs ago. Proof uses nothing more than undergraduate-level stats and calculus!

  18. Retweeted
    Mar 24

    New blog post from OpenAI on "Evolution Strategies as a Scalable Alternative to Reinforcement Learning" w00t!!

  19. Retweeted
    Mar 15

    Really nice paper from connecting data-noising for neural-LM with traditional smoothing techniques.

  20. Retweeted
    Mar 15

    Nuclear physicists have spent years analyzing these videos in the hopes of wringing every last bit of data they can

  21. Retweeted
    Mar 14

    Wow! New search theory is competitive with A* or outperforms it significantly. Near-Optimal Bidirectional Search

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