Xander Steenbrugge

@xsteenbrugge

Machine Learning researcher & online educator. Passionate about AI, Virtual Reality, renewable energy, space exploration, digital art & philosophy.

België
Vrijeme pridruživanja: siječanj 2015.

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  1. Prikvačeni tweet
    28. lis 2019.

    Emtremely excited to finally share a side-project I've been working on for the past few months: Neural Synesthesia, visualizing music with ! So many ideas left to explore, this journey is just getting started.. More HD renders on my new YT channel:

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  2. proslijedio/la je Tweet
    4. velj

    New Paper: Adversarial Generation of Continuous Implicit Shape Representations We propose two GANs with a DeepSDF network as the generator and either a 3D CNN or a Pointnet as the discriminator. Written by and me! Paper:

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  3. 2. velj

    GAN-idea: 1. Train a VAE with strong Gaussian prior (Decoder = StyleGAN's G architeture, Encoder = D, but final layer maps to 512 outs) 2. Init StyleGAN with these nets and fine-tune under normal GAN framework. - Would this avoid mode collapse? - Any prior work like this?

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  4. proslijedio/la je Tweet
    31. sij

    A full build of Autopilot neural networks involves 48 networks that take 70,000 GPU hours to train. Together, they output 1,000 distinct tensors (predictions) at each timestep. This is what a Tesla autopilot sees [source: ]

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  5. 1. velj

    Neural nets are universal function approximators. While powerful, this also means NNs will fit any training corpus without generalization guarantees. Engineering the agent's perception of the surrounding world could be a strong prior to encourage learning generalizable skills!

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  6. proslijedio/la je Tweet
    30. sij

    Full body characters for Artbreeder are finally live!! Wild, weird and very diverse - you can find your new character ideas here. So much has already been created in the first few hours.

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  7. proslijedio/la je Tweet
    25. sij

    +1! IMHO the most successful machine learning system of all, internet search, is a great example of this. search is just a super powered externalised memory. the next-big-thing (TM) will be super powered externalised cognition. we want to augment ppl rather than automating them.

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  8. proslijedio/la je Tweet
    22. sij

    Cursed StyleGAN2 people after a deep style transfer, makes some interesting things

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  9. 24. sij

    I rather enjoy the geometrical patterns of this latest checkpoint! It's trying to fit the regularities & symmetries of the training imgs, getting close and failing 'organically'.. Like an uncanney valley for geometrical shape 👌😋

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  10. proslijedio/la je Tweet

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

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  11. 18. sij

    This is incredible work! After all of the compute-heavy autoregressive audio models, this feels like it could finally make AI-based electronic music composition a reality. How shall we call the new, emerging genre.. mAIsic? 🤔😅 Going to play with this big-time 👏🎶

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  12. 18. sij

    Just stumbled upon this wonderful footage of a discussion at Yoshua Begio's lab about generalizing the concept of backpropagation. This kind of intelligent, constructive brainstorming really demonstrates the power of AI research labs! Amazing 👏👨‍🎓

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  13. 17. sij

    Just got Live, GAN-based visuals up and running in ! Anybody have a gig coming up and need some kick-ass visuals? 👌😎 More full renders on or on Instagram: @neurasynth

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  14. 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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  15. proslijedio/la je Tweet
    14. sij

    Can Giraffes Become Birds? An Evaluation of Image-to-image Translation for Data Generation pdf: abs:

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  16. 11. sij

    First LSTM's and now even CNNs, it does seem like attention really is all we need.. Applying these attention mechanisms to vision models could open up a totally new area of "explainable AI" models 👌

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  17. proslijedio/la je Tweet
    4. sij

    Metabolic Engineering and Synthetic Biology of Yeast - Jens Nielsen🤯 (the whole channel is quite good). Bio will grow into a major tech stack. We're writing assembly today, but when the AWS is up things will get interesting.

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

    I am so excited for when drops Vid2Game code. Imagine all the amazing things you could do with this. Maybe the models are even playable in a Colab? FMV games: The Next Generation? abs: vid:

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

    If you want to be rewarded, you have to be irreplaceable. If you want to be irreplaceable, you have to be unique. If you want to be unique, you have to be authentic. If you want to be authentic, stop listening to everyone and everything else. It’s drowning “you” out.

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  20. 24. pro 2019.

    Now here's another StyleGAN use I hadn't thought of, brilliant! Perhaps can use this to design the next sci-fi model 👌😅

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

    How dimensional ultrasound scans and computer graphics get these impressive images of baby animals in the womb

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