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AnimaAnandkumar's profile
Prof. Anima Anandkumar
Prof. Anima Anandkumar
Prof. Anima Anandkumar
@AnimaAnandkumar

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Prof. Anima Anandkumar

@AnimaAnandkumar

Director of #AI #research @nvidia, Bren #Professor @Caltech, Fmr Principal scientist @awscloud #Sloan fellow #Tensors Erdos #2 #dancer http://anima-ai.org 

Santa Clara, CA
tensorlab.cms.caltech.edu/users/anima/
Joined October 2014

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    Prof. Anima Anandkumar‏ @AnimaAnandkumar Oct 23
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    Prof. Anima Anandkumar Retweeted Prof. Anima Anandkumar

    .@TwitterSupport can you unlock @ZongyiLiCaltech After @MCHammer retweeted our work @ZongyiLiCaltech newly created account got a lot of following and retweet. Your dumb method wrongly classified it as spam. You need to give verified status to researchers. I still don't have onehttps://twitter.com/AnimaAnandkumar/status/1319055677260611586 …

    Prof. Anima Anandkumar added,

    Prof. Anima Anandkumar @AnimaAnandkumar
    Fourier neural operator for PDEs https://arxiv.org/abs/2010.08895  Solves family of #PDE from scratch at any resolution. Outperforms all existing #DeepLearning methods. 1000x faster than traditional solvers Experiments on Navier-Stokes equations @kazizzad @Caltech #AI #HPC https://twitter.com/arXiv_Daily/status/1318645827460603904 … pic.twitter.com/oOS0EiLdwd
    Show this thread
    11:42 AM - 23 Oct 2020
    • 13 Retweets
    • 168 Likes
    • Abdur Rohman عبد الرحمن JR (Tetrón) Thaddeus Stevens Thomas Kober Aiinnova Sri_ Carlo Curino Sam Foreman Sankalpa 🇱🇰
    8 replies 13 retweets 168 likes
      1. RewCie  🚀 🇮🇳‏ @abhas_rewcie Oct 23
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        Replying to @AnimaAnandkumar @TwitterSupport and

        Spam? This shows up fine for me...

        0 replies 0 retweets 0 likes
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      1. Hosny‏ @ahmedhosny Oct 23
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        Replying to @AnimaAnandkumar @TwitterSupport and

        What a time to be alive.. the MC is now into partial differential equations!

        0 replies 0 retweets 6 likes
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      1. Keiran Thompson‏ @drenerbas Oct 23
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        Replying to @AnimaAnandkumar @TwitterSupport and

        Seems okay now. What a pfaff!

        0 replies 0 retweets 0 likes
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      1. New conversation
      2. Paul Macklin‏ @MathCancer Oct 23
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        Replying to @AnimaAnandkumar @TwitterSupport and

        This is really cool! Do you think this could it work for diffusion-decay problems with moving point sources? (where point sources come and go, and have time-varying rates).

        1 reply 0 retweets 0 likes
      3. Zongyi Li‏ @ZongyiLiCaltech Oct 23
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        Replying to @MathCancer @AnimaAnandkumar and

        Thank you for your interest! Sorry I am not very familiar with the diffusion-decay problem. Our neural operator can work as a black box and it can certainly be applied to this kind of problem.

        0 replies 0 retweets 2 likes
      4. End of conversation
      1. Adeeb Abbas‏ @adeeb10abbas Oct 24
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        Replying to @AnimaAnandkumar @TwitterSupport and

        This is annoying

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      1. Pinaki Bhattacharyya‏ @pinakiclickz Oct 25
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        Replying to @AnimaAnandkumar

        Can it be applied to irregular domains?

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      1. The Signature Of The World‏ @TheSignatureOf1 Nov 6
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        Replying to @AnimaAnandkumar @TwitterSupport and

        And that's when you lost your hairs. Spending too much time on Twitter when you should be in lab supporting your students and postdocs

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