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SUMMARY:Eduardo Paluzo-Hidalgo (Seville)
DTSTART:20230329T140000Z
DTEND:20230329T150000Z
DTSTAMP:20260423T021029Z
UID:CompAlg/10
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/CompAlg/10/"
 >An introduction to Simplicial-map Neural Networks</a>\nby Eduardo Paluzo-
 Hidalgo (Seville) as part of Machine Learning Seminar\n\n\nAbstract\nIn a 
 recently accepted project RexasiPro\, we deal with a critical environment 
 where trustworthy is decisive. One of our approaches are simplicial-map ne
 ural networks (SMNNs) which are explicitly defined using simplicial maps b
 etween triangulations of the input and output spaces. Its combinatorial de
 finition lets us prove and guarantee several nice properties following tru
 stworthy AI principles. In "Two-hidden-layer feed-forward networks are uni
 versal approximators: A constructive approach"\, the first definition of S
 MNNs was given and its universal approximator property was proved. Later\,
  in "Simplicial-Map Neural Networks Robust to Adversarial Examples"\, its 
 robustness against adversarial examples was described.\n
LOCATION:https://researchseminars.org/talk/CompAlg/10/
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