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An Erlangen Programme to Establish the Geometric Foundations of Deep Learning

• ArtWomb 5y ago
  Direct link to 156pp paper (an absolutely elegant read): Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges https://arxiv.org/abs/2104.13478 https://arxiv.org/abs/2104.13478 Stanford CS224W: Machine Learning with Graphs https://www.youtube.com/playlist?list=PLoROMvodv4rPLKxIpqhjhPgdQy7imNkDn https://www.youtube.com/playlist?list=PLoROMvodv4rPLKxIpqhjh...
  • mark_l_watson 5y ago
    Wow, that paper is 45 MB. I read the article and I now looking at the paper, trying to decide whether to spend a day really absorbing it. I assume that you are recommending it. I really like the typography, use of margin text and math notation, etc.
  • ManuelS 5y ago
    Here is also a talk about this topic, that Petar Veličković gave virtually at the University Erlangen a few weeks ago (and why it is called Erlangen Programme) https://www.youtube.com/watch?v=9cxhvQK9ALQ https://www.youtube.com/watch?v=9cxhvQK9ALQ
• yetihehe 5y ago
  This has nothing in common with Erlang Programming Language, it's about "method of characterizing geometries based on group theory and projective geometry." https://en.wikipedia.org/wiki/Erlangen_program https://en.wikipedia.org/wiki/Erlangen_program
  • GavinMcG 5y ago
    (The method is named after Erlangen, the city in Germany.)