Alex J. Champandard

@alexjc

Artificial Intelligence expert, Deep Learning research, ex-R☆/Guerrilla Developer, co-Founded . Director conference. #⚘

Vienna
Vrijeme pridruživanja: rujan 2007.

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  1. Prikvačeni tweet
    1. ožu 2019.

    After an unexpectedly intense yet rewarding six months, today seems like a good day to officially end my sabbatical and come out of personal stealth mode! ✨ (Details in thread. 👇) [1/15]

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  2. prije 12 sati

    When you think about your own most moments (ever), how would you describe the process you went through? OUTCOME / PROCESS

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  3. 2. velj

    I'm setting up a repository and trying to figure out a sensible structure and what tools to use. In particular, looking for a way to auto-generate HTML (from .rst or .md) with bidirectional links, e.g. show me all artists that use this process...

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  4. 2. velj

    Last year, I found Twitter so frustrating and depressing I started writing notes elsewhere as private messages instead. It's not been the same since... However, this side project has been so much fun for me, I figured I should post more publicly!

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  5. 2. velj

    Recently, I started watching / reading interviews with famous creators and writing down pages of insights... 💡 Q: Who are your favorite artists or musicians and are there any recordings of them talking about their process? 🎵🎨

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  6. proslijedio/la je Tweet
    2. velj

    Wow: Google's "Meena" chatbot was trained on a full TPUv3 pod (2048 TPU cores) for **30 full days** - That's more than $1,400,000 of compute time to train this chatbot model. (! 100+ petaflops of sustained compute !)

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  7. 2. velj

    Conversely, if you think about the of others, do you associate it with _their_ process or what _they_ produce? (Other answers: also just reply!)

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  8. 2. velj

    When you think about your own , do you associate it with your process or what you produce? (Other answers: please reply!)

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  9. 29. sij

    Congratulations to on securing funding for today. Hats off!

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  10. proslijedio/la je Tweet
    28. sij

    New paper: Towards a Human-like Open-Domain Chatbot. Key takeaways: 1. "Perplexity is all a chatbot needs" ;) 2. We're getting closer to a high-quality chatbot that can chat about anything Paper: Blog:

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  11. proslijedio/la je Tweet
    29. sij
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  12. proslijedio/la je Tweet
    25. sij

    Ok folks, *now* I have a WikiArt conditional model released and a repo up! Model here: Repo here: Thanks to for their repos and their work in this space!

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  13. proslijedio/la je Tweet
    24. sij

    Impressive results on single image depth estimation by Ranftl et al

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  14. proslijedio/la je Tweet
    16. sij

    Second crypto-artwork drop of the week. "QSMVE" Generative artwork coded in standard JavaScript which can be copied into a web browser’s address bar and rendered. Highlighted number value of A=# defines the artwork.

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  15. proslijedio/la je Tweet
    23. sij

    "Probabilistic scripts for automating common-sense tasks" by Alexander Lew Intrigued by the idea of using generative functions to represent probabilistic models. "To encode that rents depend on the city, we can randomly generate a rent based on the city"

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  16. proslijedio/la je Tweet
    21. sij

    I am starting a collection of computational creativity PhD theses. (Let me know which ones I should not miss!) ☟

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  17. proslijedio/la je Tweet

    Amazing frame interpolation by DAIN: Depth Aware Video Frame Interpolation.

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  18. proslijedio/la je Tweet
    14. sij

    BigGAN samples are famously photo-realistic but limited in diversity for some classes. Slightly modifying only the class embeddings (network unchanged) can reduce the diversity gap by ~50%! Work with Long Mai and led by fantastic !! Paper & video:

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  19. proslijedio/la je Tweet
    14. sij

    oscillating focus

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  20. proslijedio/la je Tweet
    24. pro 2019.
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  21. proslijedio/la je Tweet
    4. sij

    Wow, there is huge revolution on happening right now. More and more competitions are "kernel-only-submisson". Which means you should upload your model to cloud and then all the inference is done in submission kernel with runtime limit. Farewell 100500 models ensembles!

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