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cgadski

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  1. Bayes, Bits and Brains (bayesbitsbrains.github.io)
    96 points 6
  2. Entropy of a Mixture (cgad.ski)
    54 points 5
  3. Decomposing the Dark Matter of Sparse Autoencoders (arxiv.org)
    3 points 0
  4. GPU Puzzles (github.com)
    356 points 40
  5. How efficient are distributed codes? (cgad.ski)
    4 points 0
  6. Distributed Representations (1986) [pdf] (stanford.edu)
    1 points 0
  7. When numbers are bits: distributed representations for sets (cgad.ski)
    1 points 0
  8. Factor Graphs and Tensor Networks (rajatvd.github.io)
    1 points 1
  9. Where is Noether's principle in machine learning? (cgad.ski)
    296 points 76
  10. Curvature of Polyhedra (2021) (nicf.net)
    74 points 18
  11. Backprop Isn't Just for Calculus (cgad.ski)
    3 points 0
  12. Backprop isn't just for calculus (cgad.ski)
    3 points 0
  13. 3D Shape Matching with Quaternions (lisyarus.github.io)
    2 points 1
  14. Stable Fiddusion: Frequency-domain blue noise generator (acko.net)
    107 points 17
  15. When gradient descent is a kernel method (cgad.ski)
    201 points 37
  16. Four Points on the Circle (cgad.ski)
    2 points 0
  17. A Note on Scale-Free Networks (cgad.ski)
    5 points 0
  18. A Coin Flip by Any Other Name... (cgad.ski)
    2 points 0
  19. What Is Dimensional Analysis? (cgad.ski)
    104 points 78
  20. The Central Binomial Coefficient and Laplace's Method (cgad.ski)
    1 points 0
  21. The Central Binomial Coefficient and Laplace's Method (cgad.ski)
    2 points 0
  22. What Is Dimensional Analysis? (cgad.ski)
    4 points 0