On the construction of group equivariant non-expansive operators via permutants and symmetric functions

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    Frontiers in Artificial_Intelligence | www.frontiersin.org February 2022 | Volume 5 | Article 786091 opens the way to the appearance of contradictions, conflicts and unexpected behaviors (Frosini, 2009). The use of a precise geometric formalization of components in machine_learning could be of great help in facing and analyzing this emerging problem. From the point of view of AI, the focus on GENEOs corresponds to the rising interest in the so called "explainable deep learning" (Rudin, 2019; Carrieri et_al, 2021; Hicks et_al, 2021), which looks for methods and techniques that can be understood by humans. Fortunately, the . . .

     

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