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SUMMARY:Maxim Kochurov (PyMC Labs)
DTSTART:20220712T090000Z
DTEND:20220712T103000Z
DTSTAMP:20260423T010620Z
UID:GaML/6
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/GaML/6/">Hyp
 erbolic Manifolds in Deep Learning I</a>\nby Maxim Kochurov (PyMC Labs) as
  part of Workshop on Geometry and Machine Learning\n\n\nAbstract\nHyperbol
 ic manifolds are quite new in deep learning. Mathematical elegance and the
 oretical advantages are very attractive properties for dimensionality redu
 ction and rich representations. Moreover\, a lot of research was done to i
 nvestigate 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 a
 rea\, highlighting the most problematic theory and motivation. During the 
 practical session\, we’ll get familiar with models and implementations t
 hat make use of the hyperbolic space to their fullest potential.\n
LOCATION:https://researchseminars.org/talk/GaML/6/
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