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SUMMARY:Maxim Kochurov (PyMC Labs)
DTSTART:20220713T130000Z
DTEND:20220713T143000Z
DTSTAMP:20260423T010637Z
UID:GaML/12
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/GaML/12/">Hy
 perbolic Manifolds in Deep Learning II</a>\nby Maxim Kochurov (PyMC Labs) 
 as part of Workshop on Geometry and Machine Learning\n\n\nAbstract\nHyperb
 olic manifolds are quite new in deep learning. Mathematical elegance and t
 heoretical advantages are very attractive properties for dimensionality re
 duction and rich representations. Moreover\, a lot of research was done to
  investigate opportunities in graph-based deep learning or language models
 . In the talk I’ll give an overview of what are the main advances in the
  area\, highlighting the most problematic theory and motivation. During th
 e practical session\, we’ll get familiar with models and implementations
  that make use of the hyperbolic space to their fullest potential.\n
LOCATION:https://researchseminars.org/talk/GaML/12/
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